Technology Semiconductor & Chip Design Chip Manufacturing & Tapeout

Silicon Test Engineering

Long-cycle design programs where IP, foundry, and ecosystem partnerships execute against tapeout and market windows.

Teradyne Advantest FormFactor Cohu
Inside this journey
  1. Pre-Discovery

    Align the room on outcomes, decision process, and constraints before deeper discovery.

    1. Stakeholder Alignment

      Confirm decision roles, timeline, and acceptance criteria across test engineering, fab, and program management.

      Alignment Questions

      Quick Context — Your Current Ramp Snapshot

      • In one sentence, what triggered this 16‑week production ramp and what outcome would make this effort feel successful to you?
      • When is first silicon expected to arrive on your bench (approximate date or week)? Options: Already arrived, This week, Within 2 weeks, 2–4 weeks, 4–8 weeks, 8+ weeks
      • Who is the single person accountable for the go/no‑go decision at ramp qualification?
      • Which ATE platforms must the final test program run on? Options: Advantest V93000, Teradyne UltraFLEX/ATP, Advantest/Other legacy, ATE not yet chosen, Other — please specify
      • How confident are you today that the 16‑week schedule has the resources needed (people, hardware, time)? Options: Very confident, Somewhat confident, Borderline, Not confident

      Are You Comfortable Shipping What You Can't Test?

      • If a single defect mode were missed during ramp, what would that mean for your product, customers, or warranty exposure? Options: Minor rework, Scrap batch, Field returns likely, Major program risk
      • How often have bench characterization results failed to correlate with ATE production results on your past projects? Options: Never, Rarely (once), Occasionally (2–3 times), Frequently (4+ times)
      • Which of these consequences worries you most about insufficient test coverage? Options: Escaped defects to customers, Increased cost per good die, Delays in production qualification, Reputation damage, Other
      • Tell us about a time you discovered a missed defect late—what happened, how was it detected, and how did it feel for the team?
      • What internal tolerance do you have for unknown risk during pilot (e.g., acceptable percentage of unclassified failures)? Options: 0%, <0.1%, 0.1–1%, 1–5%, Unsure/need to define

      What’s Really Behind That 16‑Week Clock?

      • Why does leadership believe 16 weeks is sufficient—what assumptions are underpinning that timeline?
      • Which dependencies are outside your control and most likely to create schedule slips? Options: Foundry delivery, Probe card fabrication, ATE reservations, Sample yield issues, Customer approvals, Other
      • How much schedule slack do you actually have at each milestone (design, probe card ship, bench characterization, ATE bring‑up)? Options: No slack, 1 week, 2–3 weeks, 4+ weeks, Not sure
      • When hard delays have happened before, what was the root cause and how long did recovery take?
      • If we had to compress the plan by two weeks, which activities would you be willing to deprioritize or run in parallel? Options: Extended bench characterization, Internal reviews, Non‑critical test vectors, Optional correlation tests, Nothing — timeline fixed

      Who Really Holds the Keys?

      • Who are the decision roles across test engineering, fab, and program management—and who tends to be the quiet but influential voice?
      • How aligned are those stakeholders today on acceptance criteria, timeline, and budget? Options: Fully aligned, Mostly aligned, Some misalignment, Significant disagreement
      • What specific acceptance criteria will cause each stakeholder to sign off on the pilot (e.g., coverage threshold, test time, correlation metric)?
      • When conflicts arise between fab and test engineering, how are they typically resolved and who arbitrates final trade‑offs? Options: Program manager, VP engineering, Cross‑functional committee, Ad hoc senior leader decision, No clear arbiter
      • Which stakeholder is most likely to block a pilot and why? Options: Test engineering — coverage concerns, Fab — schedule/priorities, Program management — budget/scope, Quality/regulatory — compliance concerns, Other

      How Do You Know a Test Is Truly Good Enough?

      • What are the measurable success signals for the pilot (select all that apply)? Options: Fault coverage %, Test time per device, Multi‑site efficiency %, Bench-to-ATE correlation metric, Yield delta vs. golden, Other
      • What minimum fault coverage percentage would you accept to consider the pilot successful? Options: >99.9%, 99.5–99.9%, 99.0–99.5%, <99.0%, Undecided
      • What is your target test time (seconds per device) or target throughput target for production to meet cost goals? Options: <1s, 1–2s, 2–5s, 5–10s, 10s+
      • How will you measure bench‑to‑ATE correlation and what difference would be acceptable between them? Options: Correlation >95%, Correlation 90–95%, Correlation 80–90%, No formal metric / qualitative
      • If the pilot misses one metric but meets others, who decides whether to proceed to production and what trade‑offs are acceptable?

      Where Previous Fixes Broke Down — Let’s Learn

      • When you've used external test houses or internal teams before, what recurring issues forced respins or schedule slips? Options: Probe card mismatch, Signal integrity surprises, Poor multi‑site scaling, ATE portability issues, Data access/format problems, Other
      • How many respins did past projects typically require, and what was the average time and cost per respin? Options: No respins, 1 respin, 2 respins, 3+ respins, Don't know
      • Which technical worry keeps you up at night during bring‑up (be specific)—parasitics, timing, probe wear, DUT variability, or something else?
      • How open were your prior partners to doing deep signal‑integrity simulation up front, and what changed when they did/ didn't? Options: Very open & used SI, Somewhat open, Resistant, Not applicable
      • How would you describe the emotional impact on the team when a respin or major delay occurred (morale, trust in vendors, leadership pressure)?

      If This Pilot Went Perfectly, What Would Change?

      • Imagine production test is humming at the end of the pilot—what concrete differences do you see in the next quarter (throughput, cost, customer outcomes)?
      • Which business outcome would feel most impactful: faster time‑to‑market, lower cost per die, fewer field escapes, or improved capacity—rank your top two. Options: Faster time‑to‑market, Lower cost per die, Fewer field escapes, Improved capacity, Reduced engineering time
      • Over the longer term, which capability would you most like to own internally versus keep with a partner (test program IP, probe card designs, signal models)? Options: Retain all IP, Shared ownership, Vendor retains IP, Unsure
      • If our solution hit the target coverage and test time on the first silicon, how would you like us to prove that to your stakeholders (data package, side‑by‑side bench comparison, live demo)? Options: Detailed data package, Live remote demo, Onsite verification, Bench vs ATE correlation report, Other
      • What ongoing support would make you comfortable after pilot handoff (on‑call engineering, monthly health checks, embedded onsite support)? Options: On‑call engineering, Monthly check‑ins, Onsite support during ramp, Knowledge transfer & training, None

      Practical Next Steps — What Would Make a Pilot a No‑Brainer?

      • What's the single blocker that would stop you from greenlighting a pilot this week?
      • Which of the following must be in place before you can start a pilot? Options: Sample wafers available, ATE reservations confirmed, Budget approved, Probe card/load board funding, Data access permissions, Engineering owners assigned
      • Who will provide the golden/known‑good data for correlation work and how quickly can that be shared? Options: Customer lab, Foundry model, Third‑party characterization, Not available yet
      • Which party is expected to own probe card fabrication, load board assembly, and on‑site ATE setup in the pilot? Options: We (customer), You (host/vendor), Shared responsibility, Undecided
      • Realistically, when can a pilot statement‑of‑work (SOW) be signed if we align on scope today? Options: This week, Within 2 weeks, 2–4 weeks, 4+ weeks, Unsure
      • Who should we include on the kickoff invite (names, roles) so we can get approvals and logistics moving?
    2. Current State Mapping

      Document existing ATE platforms, probe card/load board status, bench characterization, and schedule constraints.

      Current State

      A Snapshot: What's On Your Bench Today?

      • Which ATE platforms and test hardware are currently in your lab or reserved for this project? Options: Advantest V93000, Teradyne J750, Teradyne UltraFLEX, Verigy/Agilent, ATE vendor-managed (lab), No ATE reserved, Other (specify)
      • How many parallel sites or channels are already configured or capable on those systems? Options: 1–4, 5–8, 9–16, 17–32, 33+
      • Do you currently have ATE time reserved for pilot and production runs—if yes, please summarize slot timing and constraints.
      • Who controls ATE scheduling and operator access for this program? Options: Internal test engineering, Fab/test operations, Third-party test lab, ATE vendor, Other (specify)
      • What operational constraints should we expect on ATE usage (shifts, maintenance windows, software versions, security or remote access limits)?

      What Silent Problems Are We Accepting?

      • What recurring test or interface failures do you quietly plan around instead of fixing?
      • How often do those failures occur and what typical cadence do they follow? Options: Daily, Weekly, Monthly, Occasionally, Rarely/Ad hoc
      • Which of these issues have previously caused missed ship dates, respins, or expensive rework? Options: Probe card electrical mismatch, Probe card mechanical damage, Load board signal degradation, ATE program portability issues, Bench-to-ATE correlation failures, Excessive test time, Unexpected yield loss, Other (specify)
      • When one of these problems appears, how long and at what cost do you typically spend troubleshooting before moving forward?
      • Who usually owns these investigations and how constrained is their time to resolve them? Options: In-house test team, Dedicated vendor support, Fab/test operations, Cross-functional squad, No clear owner

      The Truth About Your Interfaces

      • If your probe card or load board could talk, what single complaint would it make about how it's been specified or used here?
      • What is the current status of the probe card for this device? Options: No probe card specified, Design in progress, Ordered/fab in progress, Received but untested, Bench-validated, Qualified on wafer, Other (specify)
      • Who designed and who manages respins for the probe card/load board? Options: In-house design team, External vendor (named), Your external contract engineering firm, ATE vendor, Other (specify)
      • List critical mechanical and electrical constraints we must honor (pad geometry, site count, pogo type, high‑speed lanes, power distribution, thermal limits).
      • Do you already have load boards for package test? If so, what is their status and known limitations? Options: No load board, Design in progress, Ordered, Assembled but unqualified, Qualified, Other (specify)
      • Please summarize any measured SI/parasitic data or probe capacitance/inductance numbers you have available.

      Data & Correlation: How Confident Are You?

      • How often does bench characterization predict ATE results accurately enough that you’d trust a go/no‑go decision without additional rework? Options: Almost always, Often, Sometimes, Rarely, Never
      • Describe your bench characterization setup (probe station model, instrumentation, software and any special fixtures).
      • Tell us about the largest bench→ATE mismatch you've seen—what measurement or behavior failed to translate?
      • Which correlation and quality metrics do you currently track and rely upon during bring‑up? Options: Fault coverage, Test time per device, Analog parametrics, Leakage/TJ measurements, Yield by wafer/lot, Bench-to-ATE correlation coefficient, Other (specify)
      • How long does a typical bench-to-ATE iteration (adjusting limits, re-characterizing) take in calendar time? Options: Hours, Days, 1–2 weeks, 3–6 weeks, Months

      The 16‑Week Clock: What Would Break First?

      • If nothing changes today, what single scheduling failure would most likely break the committed 16‑week production ramp?
      • List the critical milestones for ramp (probe card fab, load board build, ATE program development, pilot runs, data validation) and current status for each.
      • Which milestones currently lack a clear owner or present a single point of failure? Options: Probe card fabrication, Load board assembly, ATE time reservation, Sample availability, Test program development, Data access/integration, Failure analysis support, Other (specify)
      • How much schedule float do you realistically have on the 16‑week deadline? Options: None — date is fixed, 1–2 weeks, 3–4 weeks, More than 4 weeks, Unsure
      • What contingency plan exists if a respin or critical delay occurs (alternative vendors, parallel runs, expedited fab options)?
      • How are go/no‑go decisions escalated and who signs final acceptance for pilot→production? Options: Weekly program review with exec sign‑off, Program manager decision, Design + fab consensus, Ad hoc depending on issue, Other (specify)

      Hidden Knowledge: Who Really Knows the Device?

      • If I had to call someone at 2AM for a failure that stops wafer sort, who would you want me to call—and why are they the right person?
      • List subject-matter experts we should involve (design leads, process engineers, failure analysis, program manager) and their primary domain.
      • How current and centralized are your test artifacts (pin maps, vector lists, engineering change notices, golden logs)? Options: Up-to-date and centralized, Mostly current, Scattered across teams, Outdated or missing
      • Where are past failure analyses and root‑cause reports stored (if at all)? Options: Internal wiki/KB, Shared drives/reports, Vendor reports, Not documented, Other (specify)
      • How comfortable are you with handing operational test responsibility to an external team after pilot success? Options: Very comfortable, Somewhat comfortable, Neutral, Reluctant — want internal ownership retained, Not comfortable

      What Would Make This Feel Safe?

      • What must we prove during the pilot for your team to feel confident moving to production responsibility?
      • Rank the acceptance signals that are non‑negotiable for you (choose all that apply). Options: Fault coverage target (%), Test time per device, Bench-to-ATE correlation threshold, Multi-site efficiency, Yield stability across lots, Repeatability of results, Other (specify)
      • For any items you selected as non‑negotiable, please provide your numeric targets or thresholds.
      • What data delivery and access model do you require during the pilot (formats, cadence, APIs, dashboards)? Options: Raw logs (per-die), Aggregated dashboards, Daily summary reports, API access to results, Secure SFTP transfer, Other (specify)
      • When an unexpected failure appears during pilot, how quickly do you expect initial root‑cause feedback? Options: Within hours, Same day, 1–3 days, Weekly

      Next Steps — Who Does What, When?

      • If we left today with a signed pilot, what are the first three concrete actions you would expect your team to take within 72 hours?
      • Who will be the primary point of contact and authority on your side for schedule, technical questions, and approvals? Options: Test engineering manager, Program manager, Fab/test operations lead, Product/ASIC engineer, Other (specify)
      • Confirm sample availability (first silicon and subsequent lots): dates, volumes, and any gating factors.
      • What procurement, approval, or IP steps could delay ordering probe cards, load boards, or long‑lead services? Options: Capital approval, PO processing lead time, Vendor qualification, IT/security approvals, Export controls, Other (specify)
      • What is your preferred cadence and format for progress reviews during bring‑up and ramp? Options: Weekly technical review, Bi‑weekly executive summary, Daily standups during bring‑up, Milestone gating meetings, Asynchronous dashboards
      • Are there any contractual, IP, or data security constraints we need to account for before exchanging test artifacts or logs?
  2. Customer Discovery

    Define target success signals (fault coverage, test time, correlation) and non‑negotiable constraints for the 16‑week ramp.

    Discovery Questions

    Getting Comfortable Together

    • What's the single event or deadline that put this 16‑week ramp on your desk right now?
    • What is your role and who else on your team will be actively involved in the pilot? Options: Program Manager, Test Engineering Manager, Director of Test, Fab/Operations Manager, VP Engineering, Other
    • How would you describe your current emotional state about the ramp (confidence, worried, overwhelmed, other)? Options: Very confident, Cautiously optimistic, Worried, Overwhelmed, Angry/pressured, Other
    • Briefly, what has gone well and what has surprised you so far in the lead‑up to this pilot?
    • What existing documentation or device data can you share immediately (schematics, DFT notes, early failure logs, param targets)?

    If This Goes Sideways, Who Feels the Heat?

    • If the pilot misses the 16‑week production ramp, who or what will suffer the most (revenue, customer relationship, tape‑out schedule, internal credibility)? Options: Revenue/shipments, Critical customer relationship, Program schedule / deliverables, Internal credibility / career risk, Regulatory/compliance risk, Other
    • Can you estimate the tangible cost or impact of a missed ramp (e.g., $ loss per week, customer chargebacks, NPI delays)?
    • Have you had a similar ramp fail or slip in the past—what happened and how long did recovery take? Options: No prior slips, Minor slip (1–2 weeks), Moderate slip (3–6 weeks), Major slip (>6 weeks), Unclear / don't know
    • When you think about stakeholder reactions, which reaction concerns you most and why?
    • What would a single, decisive signal be that confirms we're avoiding that worst‑case outcome?

    What’s Hiding in the 16‑Week Clock?

    • What single dependency on the critical path worries you the most for hitting the 16‑week deadline? Options: ATE reservations, Probe card fabrication lead time, Load board development, Silicon/sample availability, Test program development, Internal headcount
    • How many weeks of float do you currently have in the schedule (if any)? Options: None, 1 week, 2 weeks, 3–4 weeks, 5+ weeks, Unknown
    • Which of these lead‑time items are already in motion (select all that apply)? Options: ATE time reserved, Probe card design started, Probe fabrication ordered, Load board in design, Engineering samples scheduled, None of the above
    • If a single iteration of probe card respin costs ~$80K and six weeks, how would that change your tolerance for an external vendor’s first‑pass accuracy? Options: Unacceptable — must be first pass, Tolerable once, Tolerable if budgeted, We can't absorb respin cost/time, Unsure
    • What contingency do you already have in place if a fabrication or ATE slot slips by 2–4 weeks?

    Numbers That Make You Sleep at Night

    • Name the one numeric target that will make you call the pilot a success at the end of week 16 (fault coverage %, test time per device, correlation metric, yield uplift, throughput). Options: Fault coverage target (%), Test time per device (ms/s), Bench-to-ATE correlation target (%), Multi-site efficiency (%), Other
    • For fault coverage, what's your minimum acceptable threshold? Options: <85%, 85–90%, 90–95%, 95–98%, >=98%, Not determined
    • What's your target test time per device (or maximum allowable) to meet cost objectives? Options: <50 ms, 50–200 ms, 200–500 ms, 500–1000 ms, >1000 ms, Not yet defined
    • What multi‑site parallelism do you aim for on production ATE (and is this a hard requirement)? Options: Single-site, 2–4 sites, 8 sites, 16 sites, 32 sites, Other
    • How will you statistically validate bench‑to‑ATE correlation (sample size, pass/fail tolerance, metrics)?

    The Failure Modes That Keep You Awake

    • Which device failure modes are highest risk for escaping test into shipped product? Options: Param margin failures, Interconnect/open/short, Timing/frequency errors, Leakage/current anomalies, Analog performance drift, Other
    • Which of those failure modes do you already have bench signatures for, and which are unknown? Options: Well‑characterized, Partially characterized, Unknown
    • Tell the story of the most important historical failure you tracked—how was it discovered, and how long did diagnosis take?
    • How confident are you that automated test vectors can detect the subtle failure modes versus needing specialized bench fixtures? Options: Very confident, Somewhat confident, Unsure, Not confident
    • If we needed to prioritize which failure modes to lock down first for the pilot, which three would you choose and why?

    Who Holds The Keys—and The No‑Go Stamp

    • Who has final sign‑off authority to approve the pilot go/no‑go and later accept production test? Options: Test Engineering Manager, Program Manager, Fab Manager, VP Operations, Customer/ODM sign‑off, Other
    • Who are the primary technical owners we must align with during program bring‑up (test, bench, fab, yield, SW)? Options: Test engineers, Failure analysis team, Yield engineers, Fab/test ops, Software/ATE support, Other
    • What metrics or artifacts does each decision owner expect to see before they sign off?
    • Who is empowered to re‑allocate ATE time or expedite probe fabrication if we hit a critical path issue? Options: Program Manager, Test Lab Lead, Procurement, External vendor (with PO), No one currently
    • Describe any political or contractual constraints that could block rapid decisions (e.g., multiple approvals, external customer gating).

    Data and Correlation: Truth or Hope?

    • How reliable is your current bench‑to‑ATE correlation—do results consistently track, or do you see surprises when moving to production ATE? Options: Consistent, Occasional surprises, Frequent mismatches, No data yet
    • What bench characterization has been completed (probe characterization, param sweeps, thermal cycles, wafer sort runs)? Options: Probe characterization, Param sweeps, Thermal/BER tests, Wafer sort / pilot runs, None
    • Share an example where bench correlation failed—what was the root cause and how long did resolution take?
    • What data access and formats will we need to integrate with (ATE logs, wafer maps, netlists, failure analysis reports)? Options: ATE logs, Wafer maps, Netlists, FA reports, Yield dashboards, Other
    • How comfortable are you with sharing raw failure data and characterization logs with an external engineering partner under NDA? Options: Very comfortable, Somewhat comfortable, Only aggregated metrics, Not comfortable

    Non‑Negotiables, Trade‑offs, and the Negotiation Table

    • If you could list three absolute, non‑negotiable requirements for the pilot, what would they be (technical, timeline, IP, cost)?
    • Which of these items could you realistically trade for faster delivery (scope, sample size, test coverage depth, documentation)? Options: Reduce sample size, Reduce non‑critical coverage, Shorter documentation deliverable, Accept one respin allowance, None
    • How do you view IP ownership for test routines and probe‑card models—must they remain fully internal, joint, or can vendor‑retained models be acceptable? Options: Customer owns all IP, Joint ownership, Vendor retains models, Case by case
    • What is your tolerance for schedule risk vs. cost increase (e.g., pay more to accelerate fabrication or accept standard lead times)? Options: Prefer speed at premium, Prefer lowest cost, Balance speed and cost, Undecided
    • If the pilot shows the required coverage but test time is slightly above target, which matters more for you: coverage or test time? Options: Coverage > Test time, Test time > Coverage, Both equally, Depends on magnitude

    Logistics, Permissions, and Practical Roadblocks

    • What essential approvals, NDAs, or procurement steps are not yet complete that could block work starting immediately? Options: NDA, PO/contract, Export controls, Customer approval, None
    • What is the current status of physical samples—no silicon, engineering samples, masked wafers, or full production wafers? Options: No silicon yet, Engineering samples available, Masked wafers available, Full production wafers available, Unknown
    • Which ATE platforms do you plan to use in production and which are available for pilot work? Options: Advantest V93000, Teradyne J750, Teradyne UltraFLEX, ATE from fab/test house, Other, None reserved
    • Who will own probe card and load board fabrication responsibilities (your team, vendor, split)? Options: Customer owns, Vendor owns, Shared responsibility, Not yet defined
    • Are there physical/test‑floor constraints we should know about (cleanroom hours, ESD policies, temperature control, staffing windows)?

    Commitment Signals: If We Deliver, What Happens Next?

    • If a pilot meets your numeric success signals at week 16, what immediate commitments would you expect to make (ATE time, production orders, expanded scope)? Options: Reserve production ATE time, Purchase full probe card set, Move to production test program, Begin ramp to volume, Other
    • What would you need from us in the first two weeks to feel that the relationship is moving in the right direction?
    • What cadence and format of updates do decision makers prefer during the pilot (weekly report, dashboard access, standup calls)? Options: Weekly status report, Live dashboard access, Weekly sync call, Ad hoc escalation only, Other
    • What would be a deal‑breaker that would cause you to halt the pilot immediately? Options: Data integrity breach, Missed critical milestone, Unauthorized IP exposure, Unacceptable safety/ESD event, Other
    • Finally, what one thing could we do differently in the pilot to earn your trust faster?
  3. Solution Experience

    Use the customer’s device data and failure modes to show how our probe card accuracy and multi‑site programs deliver the required coverage and throughput.

    Experience Meetings

    • Solution Experience Kickoff — Alignment & Pre‑Work
    • Failure Modes & Data Deep Dive Workshop
    • Probe Card Accuracy Proof — SI Simulation Walkthrough
    • Multi‑Site Program Throughput Simulation & Pilot Planning
    • Solution Validation & Go/No‑Go Decision
    • Seller: Deliver a throughput simulation workbook that shows expected TAT, site efficiency, and sensitivity scenarios.
    • Agree a concrete probe card specification and measurement tolerance table for the pilot build.
    • Identify any remaining edge cases that require additional modeling or targeted bench checks.
    • Seller SI team: Deliver the SI report with plots comparing bench traces to simulated traces and a margin table.
    • Customer: Review and sign off on the probe card electrical spec and tolerance table.
    • Seller: Update probe card mechanical drawings and move to build kickoff pending sign‑off.
    • Seller: Flag any nets needing special fixture or handling in the load board/probe strategy document.
    • Recap Throughput Target & Acceptance Criteria
    • Demonstrate projected per‑device test time and multi‑site efficiency meet the ramp targets under realistic failure distributions.
    • Agree pilot scope (device/sample count, sites, ATE reservations) and concrete acceptance metrics to validate throughput.
    • Identify and assign mitigations for the top risks that could erode throughput or delay qualification.
    • Lock owners and a provisional schedule for pilot execution and data collection.
    • Introductions & Objectives
    • Customer: Confirm and reserve ATE time and handlers for the agreed pilot window.
    • Seller: Produce a trimmed pilot test flow and an ATE job deck ready for bring‑up.
    • Both: Assign primary owners for pilot execution, data validation, and escalation paths.
    • One‑Line Recap: Current, Consequence, Future
    • Customer explicitly validates that the SI and throughput proofs satisfy the agreed acceptance criteria.
    • Obtain a formal go/no‑go decision and sign‑off for the pilot start or capture required corrections to reach go.
    • Establish the pilot start date, owners, and the date for the pilot readiness review.
    • Document remaining open risks and assign mitigation owners with deadlines.
    • Seller: Produce a consolidated Solution Experience brief and sign‑off document that maps each proof to acceptance criteria.
    • Customer: Provide formal sign‑off (or list of required changes) for pilot go/no‑go.
    • Seller: Book pilot start date, confirm ATE reservations, and issue a pilot readiness checklist.
    • Both: Create an open‑risk register with owners and mitigation deadlines prior to pilot start.
    • Customer confirms a clear, one‑sentence current state describing what is failing and who is impacted.
    • Capture quantified consequences (time, cost, risk) that make the problem urgent.
    • Agree a one‑sentence future state (specific coverage/test time/correlation targets) that will prove success.
    • Customer commits to delivering the full data/artifact checklist by a date owner assigns.
    • Assign internal and customer owners for the Solution Experience activities and schedule the next workshop.
    • Customer: Deliver agreed dataset (wafer maps, failing vector lists, ATE config, benchtop traces, netlist) by the committed date.
    • Seller: Prepare a template failure‑mode repository and share data upload instructions.
    • Seller: Schedule Failure Modes & Data Deep Dive workshop once data is received.
    • Both: Confirm decision owner and timeline for pilot acceptance.
    • Recap Current/Future State
    • Produce a prioritized failure‑mode matrix mapping each mode to device nets, frequency, and impact on yield or test time.
    • Identify the critical coverage points and measurement points the probe card must reliably capture.
    • Agree on any additional data required for SI and throughput modeling and assign owners to deliver it.
    • Validate assumptions that the SI and ATE throughput teams will use for proof artifacts.
    • Seller SI team: Convert failure‑mode matrix into SI model input (critical nets, expected impedance/load conditions).
    • Seller program team: Extract representative vectors/sites and expected pass/fail patterns for throughput modeling.
    • Customer: Provide any missing bench traces or ATE log excerpts identified during the workshop.
    • Seller: Schedule the Probe Card SI Simulation Walkthrough and provide model assumptions in advance.
    • One‑Line Recap of Problem & Target
    • Prove the SI model predicts probe parasitics and their effect on the customer's failure modes within acceptable margins.
    • Obtain explicit customer confirmation that the modeled signals match bench behavior (validation checkpoint).
    • Single‑Sentence Current State
    • Data Highlights Review
    • SI & Throughput Proof Summary
    • ATE Configuration & Constraint Review
    • SI Model Inputs & Assumptions
    • Consequence Quantification
    • Simulation Results Mapped to Failure Modes
    • Multi‑Site Parallelization Strategy
    • Failure Mode Identification & Prioritization
    • Acceptance Test Walkthrough
    • Margin & Sensitivity Analysis
    • Define One‑Sentence Future State
    • Customer Validation (Forced Questions)
    • Coverage & Test‑Time Impact Assessment
  4. Solution Scope

    Specify deliverables, supported ATE platforms, probe/load board responsibilities, pilot device selection, milestones, and measurable acceptance tests.

    Scope Configuration

    • Deliver Production-Ready ATE Test Program
    • Design and Fabricate Wafer Probe Card
    • Probe-Card Signal-Integrity Modeling and Fabrication Files
    • Probe Card Characterization and On-Wafer Tuning
    • Design and Build Package Load Board
    • Load Board Signal-Integrity Validation and Bench Tuning
    • Port ATE Test Program Across Platforms
    • Deliver Multi-Site Optimized ATE Test Program
    • Provide ATE Pinmap and Handler Interface Board
    • Generate Correlated Characterization-to-ATE Test Limits
    • Deliver Functional and Parametric Test Patterns
    • On-Site ATE Bring-Up and Debug Support
    • Design Test Fixtures and Socket Assemblies
    • Supply Failure-Isolation and Yield-Root-Cause Test Routines

    Scope Questions

    Deliver Production-Ready ATE Test Program

    • Which ATE platform(s) must the delivered program run on? Options: Teradyne, Advantest, Xcerra/Verigy, ATE model not yet chosen, Other (please specify)
    • What test types must the program include (select all that apply)? Options: Functional (logic/IO), DC parametrics (V/I), Timing/AC, Analog/mixed-signal, IDDQ/leakage, Boundary-scan/JTAG, Burn-in/stress
    • What deliverables do you expect from the test program handoff? Options: Source/test code, Compiled/binary program, Test flow documentation and runbook, Limits and pass/fail criteria, Regression scripts and test vectors, Maintenance and versioning plan
    • What is the target test time per device (specify units, e.g., ms or sec)?
    • What acceptance metrics will determine program readiness (e.g., fault coverage %, test time, correlation threshold)?
    • Are there security, IP, or configuration-control requirements for program delivery? Options: Yes - NDA/ITAR/Export controls, Yes - internal IP policies, No special requirements, Not sure

    Design and Fabricate Wafer Probe Card

    • What wafer/probe interface type and pad geometry must the probe card support?
    • Which probe-card technology do you prefer or require? Options: Cantilever (needle), MEMS/stepped probe, Vertical pogo, Hybrid, No preference - recommend
    • What is the expected pin count and pitch density to be probed? Options: Low (<200 pins), Medium (200-1000 pins), High (1000-5000 pins), Very high (>5000 pins), Provide details
    • Who is responsible for probe-card fabrication and materials? Options: Vendor supplies full fabrication, Customer supplies probes/materials, Split responsibilities (specify)
    • What mechanical, thermal, or handler constraints must the probe card meet (max thickness, chuck clearance, temperature)?
    • What delivery timeline and revision budget do you require for the first probe-card build? Options: <4 weeks, 4-8 weeks, 8-12 weeks, Flexible

    Probe-Card Signal-Integrity Modeling and Fabrication Files

    • Do you have device I/O models (IBIS/IBIS-AMI/SPICE/netlist) available for SI modeling? Options: Yes - full models available, Partial models available, No - need modeling support
    • Which SI deliverables do you require? Options: S-parameter files (ports), Simulated time-domain responses (TDR), Layout-level parasitic extraction, Fabrication-ready Gerber/NC drill/BOM, Connector and cable specs
    • What target SI accuracy or margin is required (e.g., return loss, insertion loss, crosstalk limits)?
    • Which frequency/bandwidth range must modeling cover for critical nets? Options: DC-100 MHz, 100 MHz-1 GHz, 1 GHz-5 GHz, 5 GHz+
    • Who will own and approve the final fabrication files (customer, vendor, shared)? Options: Customer owns files, Vendor owns files, Shared ownership with license
    • Are there specific documentation or CAD formats required for handoff (e.g., ODB++, Gerber, Altium, Mentor Graphics)?

    Probe Card Characterization and On-Wafer Tuning

    • Do you have sample wafers/test structures available for on‑wafer tuning and characterization? Options: Yes - production wafers, Yes - engineering wafers/test keys, No - will provide later, No - need vendor to supply test wafers
    • Which characterization methods do you want used (select all that apply)? Options: On-wafer DC contact resistance, V/I parametric scans, TDR/Time-domain, S-parameter VNA, Functional probe tests
    • What acceptance criteria define a tuned probe card (e.g., contact resistance average/max, leakage, mechanical planarity)?
    • Who books prober time and coordinates on‑site tuning sessions? Options: Customer books, Vendor books, Shared coordination
    • How many characterization iterations/respins are allowed within the project timeline? Options: Zero - one shot, One respin allowed, Two respins allowed, Flexible
    • Do you require formal tuning reports and matcher files for ATE integration? Options: Yes - detailed reports, Summary only, No

    Design and Build Package Load Board

    • What package type(s) will be tested (e.g., BGA, QFN, LGA, CSP)? Options: BGA, QFN, LGA, CSP, Other (specify)
    • What is the expected pin count and mechanical footprint of the package?
    • Are there thermal or power dissipation requirements for the load board (heatsink, controlled temp)? Options: Yes - thermal control required, No special thermal needs, Not sure
    • Do you require integrated level shifters, power sequencing, or special power domains on the load board? Options: Yes - specify, No, Recommend if needed
    • What mechanical/handler interface constraints must the load board satisfy (handler model, footprint, Z-height)?
    • Who will supply DUT samples for load-board validation and how many are available? Options: Customer supplies >100, Customer supplies 20-100, Customer supplies <20, Vendor provides samples, Not yet available

    Load Board Signal-Integrity Validation and Bench Tuning

    • What bench equipment will be available for SI validation (VNA, high-speed scope, pattern generator)? Options: VNA, High-speed scope, Pattern generator/BER tester, Logic analyzer, Other
    • Which validation deliverables do you expect? Options: S-parameter validation, Eye diagrams/BER, Time-domain reflectometry, Cable/connector characterization, Validation report with pass/fail
    • What pass/fail thresholds or margins should be used for bench tuning?
    • Will bench tuning require iteration with ATE port mapping or handler conditions? Options: Yes - close ATE coupling required, No - bench-only is fine, Unsure, want recommendation
    • Who performs bench tuning and where (customer lab, vendor lab, on-site)? Options: Customer lab, Vendor lab, On-site at customer fab/test floor, Hybrid
    • Do you need documented test procedures for bench-to-ATE handoff? Options: Yes - step-by-step, Summary only, No

    Port ATE Test Program Across Platforms

    • What is the source/origin ATE platform for the existing program (if any)? Options: Teradyne, Advantest, Xcerra/Verigy, No existing program, Other
    • Which target ATE platforms must we port to? Options: Teradyne, Advantest, Xcerra/Verigy, Other (specify)
    • What language/environment is the current program written in (if applicable)? Options: TID (Teradyne), Advantest T2000/T2500, ATE vendor-specific, Custom scripts, No existing code
    • Are there any platform-specific resources or hardware dependencies that must be bridged (e.g., DUT handlers, measurement instruments)?
    • Do you require regression tests and verification logs after porting? Options: Yes - full regression suite, Partial regression, No
    • What is your required timeline for finishing the port and validating on the target ATE? Options: <2 weeks, 2-4 weeks, 4-8 weeks, Flexible

    Deliver Multi-Site Optimized ATE Test Program

    • What multi-site count must the test program support (sites per handler/slot)? Options: 1-4, 8-16, 17-32, 33-64, Other (specify)
    • What multi-site efficiency target do you require (e.g., % of ideal throughput)? Options: >98%, 95-98%, 90-95%, <90%
    • Are there specific constraints that affect multi‑site balancing (power budget, current sourcing, heat, timing skew)?
    • Do you require site-level fail isolation or dynamic binning during multi-site runs? Options: Yes - per-site isolation and binning, No - uniform pass/fail, Partial - specify
    • Should the program include automated site-skew compensation and parallel vector optimization? Options: Yes - include optimizations, No - basic multi-site only, Recommend if needed
    • Are handler and contactor constraints already defined for multi-site operation? Options: Yes - handler specified, No - need vendor to recommend

    Provide ATE Pinmap and Handler Interface Board

    • Do you have an existing ATE pinmap or pinlist to use as a starting point? Options: Yes - full pinmap, Partial pinmap, No - need vendor to create
    • What pinmap file formats are required for your ATE/automation tools? Options: CSV/Excel, ATE-specific format (e.g., TDB, SDF), CAD/ODB++, Other (specify)
    • Which handler model and interface requirements must the handler board meet?
    • Do you require signal conditioning, buffering, or ESD protection on the interface board? Options: Yes - specify needs, No, Recommend based on SI analysis
    • Who is responsible for installing and validating the handler interface board on the test cell? Options: Customer, Vendor, Shared support
    • Do you require documentation and upload-ready pinmap files for the ATE engineering team? Options: Yes - full upload files, Summary only, No

    Generate Correlated Characterization-to-ATE Test Limits

    • Do you have bench characterization data (statistical samples) available for correlation? Options: Yes - large sample set (>100), Yes - limited samples (20-100), No - need to acquire
    • What correlation metric will be used to accept limits (e.g., mean shift tolerance, sigma alignment, % of matched fails)?
    • Which deliverables do you expect from correlation (limit tables, transfer functions, adjustment recommendations)? Options: Limit tables for ATE, Correlation report and plots, Adjustment plan and scripts, All of the above
    • What statistical confidence/sample size do you require for final limits? Options: 99% confidence, 95% confidence, Custom - specify
    • Who approves final ATE limits and signs off go/no-go for pilot? Options: Customer test engineering, Customer program manager, Joint approval
    • Do you require automated limit-apply scripts or manual handoff for ATE import? Options: Automated import scripts, Manual handoff with documentation, Either
  5. Mutual Commit

    Finalize commercial terms, IP/ownership expectations, respin and schedule risk allocations, and go/no‑go acceptance criteria for the pilot.

    Agreement Modules

    • Statement of Work (SOW)
    • Master Services Agreement (MSA)
    • Pricing & Payment Schedule
    • IP & Ownership Agreement
    • Pilot Acceptance / Go-No‑Go Criteria
    • Respin, Risk Allocation & Schedule Commitments
    • Change Order Procedure
    • Data Access, Privacy & DPA Addendum
    • Service Level & Support Agreement (SLA)
    • Purchase Order / Work Authorization
    • Termination & Exit Terms
    • Compliance, Insurance & Indemnity Confirmation
  6. Deployment

    Operationalize rollout with readiness checks, enablement, and outcome validation.

    1. Pre-Deployment Readiness

      Confirm sample availability, ATE reservations, engineering assignments, data access, and contingency plans before execution.

      Readiness Questions

      Quick Check — Where We Stand Right Now

      • To get us moving: do you have first silicon in hand, in transit, or still expected from the fab? Options: In hand, In transit, Expected but not shipped, Not available / delayed
      • What is your committed production ramp date (week number or calendar date)?
      • How many device lots or wafers will you need us to validate during the pilot? Options: 1 wafer, 2–5 wafers, 6–20 wafers, More than 20 wafers, Package-level parts only
      • Which ATE platform(s) are you planning to use in production (select all that apply)? Options: Advantest V93000 family, Teradyne UltraFLEX/TS3000, ATE vendor other (specify below), Custom/legacy ATE, Unsure yet
      • Who is the single point of contact for scheduling and approvals on your side? Please include name, role, and best contact method.

      What Keeps You Awake at 2 AM About Launch Week?

      • If something goes wrong in week 12 of the ramp, what would be the single biggest business impact? Options: Missed ship date, Customer penalty / contractual breach, Escalation to executive team, Yield loss / scrap, Other (please describe)
      • Which technical risks worry you most right now—probe card accuracy, test program portability, multi‑site throughput, or bench-to-ATE correlation? Options: Probe card accuracy, Test program portability, Multi-site throughput, Bench-to-ATE correlation, Other (specify)
      • How confident are you that your internal teams can absorb an iterative respin/limit-tuning cycle without slipping the ramp? Options: Very confident, Somewhat confident, Concerned, Not confident at all
      • Tell us about a recent test bring‑up that surprised you—what happened and how did the team respond?

      Show Me the Samples — Reality vs. Ideal

      • Do you have golden/reference samples or characterization wafers available to seed correlation work? Options: Yes — golden parts available, Partial (some known-good dies), No — we need to create them, Unsure
      • What packaging stages and timelines are relevant for sample availability (wafer probe, singulation, package assembly, burn‑in)? Options: Wafer probe only, Package assembly pending, Packages available for test, Burn-in required before test, Multiple stages—describe below
      • Are there special handling, ESD, or temperature constraints we must observe when receiving or storing samples? Options: ESD-sensitive, Bake required, Cold-chain/temperature control, Standard handling only, Other (describe)
      • If sample quantities are constrained, which trade-offs are acceptable: fewer lots, more targeted test coverage, or longer correlation time? Options: Fewer lots, Targeted (reduced) coverage, Longer correlation/iteration time, Not acceptable—need full scope
      • Please list current sample status by lot ID or wafer ID and expected ship dates (if available).

      Do You Actually Have ATE Time? Or Is It an Optimistic Wish?

      • Be candid: how much ATE calendar time do you have reserved in the critical 16‑week window? Options: Fully reserved for this project, Partially reserved (we must share slots), No reservations, we expect to request, Unsure—need to confirm
      • What is your target parallelism (sites per execution) and target site efficiency for production? Options: 1–4 sites, 8–16 sites, 16–32 sites, >32 sites, Target site efficiency: specify below
      • If your preferred ATE is unavailable, which alternatives are acceptable (other models, sub-contracted ATE, or vendor lab)? Options: Alternate ATE model in-house, Vendor lab service, Third‑party test house, Delay until slot opens, Other (specify)
      • How long do you typically allocate for ATE bring‑up, debug, and validation before accepting production test? Options: <1 week, 1–2 weeks, 2–4 weeks, >4 weeks, Varies—explain below
      • Are there blackout periods (maintenance, audits, other projects) that will block ATE access during our pilot window? If yes, list dates.

      Who’s Owning What — Clear Roles or Hope?

      • If decisions hit a roadblock, who has final go/no‑go authority on your side (name, role)?
      • Which internal teams must be engaged for bring‑up and who will provide day‑to‑day engineering support (select all that apply)? Options: Test engineering, Design/I/O team, Process/fab liaison, Program management, Quality/Yield, Manufacturing/test ops
      • How many dedicated FTEs can your team allocate to working-level coordination during the pilot, and what percent of their time is available? Options: 0 (project-managed externally), 0.25 FTE, 0.5 FTE, 1 FTE, >1 FTE
      • Who will handle on-site logistics and security for any engineering visits (name/role), and are there visitor restrictions we should know about?
      • How do you prefer to escalate technical disagreements—weekly leadership call, formal change request, or immediate IM/phone escalation? Options: Weekly leadership call, Formal change request process, Immediate IM/phone, Other (specify)

      Can We Get the Data We Need — Fast and Honest?

      • Do we have access to device documentation required for program development: pinout, netlist, timing specs, and governing limits? Options: Full documentation available, Partial documentation, Only basic datasheet, Requires NDA / pending
      • Are wafer sort logs, wafer maps, and failure analysis reports available from the fab or previous test runs? Options: Complete wafer sort logs, Sample wafer maps only, No wafer sort data available, Data pending
      • What secure channels can we use for data exchange (SFTP, VPN, private cloud, encrypted email)? Options: SFTP, Secure cloud share (Azure/Box/Google), VPN transfer, Encrypted email, On-site-only data access
      • For correlation work, can we access bench characterization setups, logs, and measurement scripts, or will our team replicate test benches? Options: Full bench access, Partial bench data, We must replicate, Unsure—need to discuss
      • Who owns the test data after the pilot and what are any IP or data-retention restrictions we need to respect? Options: Customer retains all data, Shared access, Host retains derived artifacts, Requires contract clarification

      If Plan A Fails, Do You Have a Plan B?

      • Imagine the first probe‑card revision underperforms—what is your acceptable turnaround time and budget for a respin? Options: 1–2 weeks / in budget, 3–4 weeks / needs approval, 6+ weeks / high risk, No budget for respin—must meet spec
      • Which contingency resources are available to you: spare probe cards, alternate vendors, or vendor-managed labs? Options: Spare probe cards on-hand, Alternate vendor list, Vendor lab agreements, No contingencies pre-arranged
      • If correlation between bench and ATE drifts, do you prefer iterative limit tuning on the ATE or deeper bench characterization to find root cause? Options: Iterative ATE limit tuning, Deeper bench root-cause analysis, Parallel approach (both), Undecided—need guidance
      • What is the escalation path and timeline for approving out-of-scope work during the pilot (hours/days to respond)? Options: <4 hours, Same business day, 24–48 hours, >48 hours
      • Are there contractual milestones or penalties tied to schedule slips that would affect how we prioritize contingency actions? Options: Yes—penalties apply, Yes—milestone dependencies, No contractual penalties, Unsure—check contracting

      Sign‑Offs, Metrics, and What Success Actually Looks Like

      • What measurable acceptance criteria will you use to decide pilot success (pick top three)? Options: Fault coverage target (%), Maximum test time per device (ms), Site efficiency (%), Bench-to-ATE correlation threshold, Yield delta limit, Other (specify)
      • What is your minimum acceptable fault coverage and target test time for qualifying production test?
      • How frequently do you want status updates and in what format (daily standup, weekly report, dashboard)? Options: Daily standup, Weekly written report, Real-time dashboard access, Ad hoc as milestones complete
      • Who on your side will sign the pilot acceptance and who will approve transition to production?
      • After pilot acceptance, what ongoing support would you expect from us (on-call debug, periodic correlation checks, engineering transfers)? Options: On-call debug support, Quarterly correlation checks, Knowledge transfer and training, No ongoing support required, Other (specify)
      • Is there anything we haven’t asked that would materially change your readiness to launch this pilot on schedule?
    2. Deployment Enablement

      Coordinate fabrication/assembly of probe cards/load boards, schedule pilot test runs, and execute program bring‑up with clear owners and timelines.

    3. Validation Checklist

      Run pilot verification to measure fault coverage, multi‑site efficiency, test time, and bench-to-ATE correlation; document adjustments and go/no‑go decisions.

      Validation Questions

      Start Here: Tell Us About the Moment

      • What immediate event or deadline brought you to seek external test engineering help right now? Options: First silicon received, 16-week production ramp committed, No ATE time reserved, No validated test program, Other
      • Who on your team is the primary decision owner for go/no‑go on production test? Options: Test Engineering Manager, Program Manager, Fab/Production Manager, Yield Engineer, Director/VP, Other
      • How would you describe the current emotional state of the project team about this ramp? Options: Calm and controlled, Nervous but confident, Stressed and under-resourced, Actively firefighting, Unsure
      • If everything goes perfectly for the next 16 weeks, what concrete outcomes would you expect to see?
      • What single concern keeps you up most at night about this ramp? Options: Missed defect modes, ATE availability/throughput, Respin delays & cost, Bench-to-ATE correlation gaps, IP/ownership issues, Other

      Are We Underestimating the Risks?

      • If a subtle defect escaped detection and reached customers, how would that impact your program (reputation, revenue, schedule)?
      • Which failure modes worry you most for first silicon and early production? Options: Open/short connectivity, Timing/setup violations, Param drift/noise sensitivity, Leakage/current anomalies, Package/assembly failures, Process corner variability, Other
      • How confident are you today that bench characterization will correlate to production ATE results? Options: Very confident (>95%), Confident (80–95%), Somewhat confident (60–80%), Low confidence (<60%), Unknown
      • Historically, how many test program respins have you needed after first silicon on similar projects, and what was the typical time/cost? Options: None, 1 respin (2–6 weeks), 2 respins (6–12 weeks), 3+ respins (>12 weeks), Not applicable / first time
      • When yield issues appeared in past ramps, who on your side led root-cause and what was the escalation path?
      • Share a brief example of a past test‑related surprise—what happened, and what would you have wanted from a vendor partner in that moment?

      Map the Current State Like a Detective

      • How accurate is your current inventory of ATE reservations, probe cards, load boards, and bench characterization—would you trust it to schedule a 16‑week ramp? Options: Fully accurate, Mostly accurate, Partially accurate, Outdated/unknown, We don't have an inventory
      • Which ATE platforms must the pilot and production support? Options: Teradyne, Advantest, Cohu, Custom/other, Unknown / to be determined
      • What is the current status of probe cards for this device? Options: No probe card, Concept/design only, In fabrication, Available in inventory, Unknown
      • What is the current status of load boards and package test interfaces? Options: No load board, Design in progress, Fabrication ordered, Ready/qualified, Unknown
      • Have you completed bench characterization (functional tests, failure modes, param mapping)? If partial, what remains? Options: Complete, Partial, Planned but not started, No bench characterization
      • List any schedule constraints, blackout dates, or lab closures that would affect pilot timing (dates and impact).
      • Who are the cross-functional points of contact (names, roles, and best contact method) for test-engineering, fab, and program management?

      What’s Actually Non‑Negotiable?

      • Which hard constraints would force you to cancel or delay the ramp if they are not met? Options: Timeline (16 weeks), Fault coverage target, Maximum test time, Budget cap, ATE availability, IP/ownership terms, Other
      • Define your minimum acceptable fault coverage and how you measure it (examples or targets please).
      • What is the maximum allowable test time per device (or per site) to meet cost targets? Options: <1 s, 1–5 s, 5–10 s, 10–30 s, >30 s, Specify in comments
      • What level of bench-to-ATE correlation is required before you will accept production test results without further adjustment? Options: >99% matching, 95–99% matching, 90–95% matching, Acceptable with documented adjustment plan, Unsure
      • Are there IP, data ownership, or source-code expectations we need to honor (e.g., customer-owned test code, restricted access)? Options: Customer owns test code, Vendor retains IP with license, Joint ownership, Case-by-case / negotiable, Other
      • Describe any regulatory, security, or contractual requirements that would influence how we work (NDA, on‑site only, data isolation, export controls).

      Where Do We Start Proving It?

      • If you had to pick one outcome we must prove in the pilot to justify moving forward, what would it be? Options: Fault coverage target met, Test time target met, Bench‑to‑ATE correlation proven, Multi‑site throughput demonstrated, Other
      • Which metrics will you use to judge pilot success (select all that apply)? Options: Fault coverage, Test time per device, Bench-to-ATE correlation, Multi-site efficiency, Yield stabilization, Program portability across ATEs, Other
      • What criteria should we use to choose the pilot device(s) (representative, high-volume, hardest corner, earliest available)? Options: Representative device, High-volume device, Device with worst-case failure modes, Earliest available silicon, Multiple-device pilot, Other
      • Who will be authorized to sign the pilot go/no‑go and commercial milestones on your side? Options: Test Engineering Manager, Program Manager, VP/Director, Fab Manager, Procurement/Legal, Other
      • What measurable acceptance tests or pass/fail thresholds do you expect at pilot completion?
      • How do you want failures or unexpected results during the pilot to be handled—immediate stop, parallel mitigation, documented reprioritization? Options: Immediate stop and root cause, Continue with mitigation plan, Document and adjust thresholds, Escalate to program management, Other

      Can We Share the Work — Accountabilities?

      • What probing, test-program, or hardware responsibilities are you unwilling to outsource?
      • For probe card vs load board ownership, which model do you prefer? Options: Vendor designs and supplies both, Customer provides hardware, vendor programs, Split responsibilities (specify), Unsure / open to recommendation
      • Who will manage ATE reservations, scheduling, and logistics on your side? Options: Customer scheduling team, Test engineering, Program management, Vendor coordinates on behalf, Other
      • What level of access will our engineers need to your data and systems (bench data, ATE logs, source control)? Options: Full access with NDA, Limited access via SFTP/VPN, Onsite only, No direct access; data exchange via PM, Other
      • What internal resources (bench hours, subject‑matter engineers, program manager) can be committed to support the pilot—names, roles, approximate FTE time?
      • How does your procurement/PO/payment process work for a pilot-level engagement (timing, PO lead time, typical contract clauses)?

      If Things Go Sideways, How Do You Want Us to Respond?

      • Imagine the worst plausible scenario on this project—what is it and who bears the cost or consequence?
      • Which risks should we prioritize mitigation for right now (select up to three)? Options: Respin cost/time, ATE availability, Sample delivery delays, Correlation gaps, IP/ownership dispute, Unexpected yield issues
      • What contingency approach do you prefer when a schedule slip threatens the ramp? Options: Add parallel workstreams, Pay for expedited respin, Buffer weeks in schedule, Reprioritize device/features, Other
      • How fast can your decision makers commit to a technical trade-off that requires schedule or budget changes? Options: Within 24 hours, 1–3 days, 1 week, Longer / needs exec approval
      • Give an example of a past contingency that worked (or failed)—what would you want us to replicate or avoid?

      Ready to Commit to a Pilot?

      • If we deliver a validated pilot meeting your targets, what non-technical issues could still prevent you from moving to production with us?
      • Which commercial models would you prefer for the pilot phase? Options: Fixed‑price pilot, Time & materials, Milestone payments, Success-based pricing, Other
      • What timeline do you want for pilot start and completion? Options: Start immediately, Start in 1–2 weeks, Start in 2–4 weeks, Start in >1 month
      • What communication cadence and reporting format will give you confidence during the pilot (daily standup, twice-weekly report, dashboard access)? Options: Daily standup, Twice-weekly sync, Weekly review, Executive milestones only, Real-time dashboard
      • What would make you feel fully confident in a vendor-led test program handover to your production team?
      • Are there any final, unspoken concerns or political realities inside your org that we should know about before proposing scope?
  7. Success

    Review outcomes against success signals, capture lessons, and maintain a shared channel for ongoing yield support and enhancements.

    Success Reviews

    • Success Outcomes Review — Pilot Verification vs Success Signals
    • Lessons Learned & Root‑Cause Workshop
    • Yield Support & Escalation Channel Setup
    • Process Improvement & Respin Risk Reduction Planning
    • Executive ROI & Ongoing Commitment Review

    Issues & Enhancements

    • Agree process gates that enforce verification steps before critical milestones.
    • Identify any additional data collection (e.g., higher resolution waveforms, site-level logs) and schedule capture.
    • Shared Channel & Data Access Confirmation
    • Create a durable, permissioned shared channel for ongoing yield support and data sharing.
    • Define a clear triage/escalation workflow with SLAs so issues are addressed predictably.
    • Establish regular reporting and review cadence to surface trends before they become critical.
    • Provision the shared workspace, upload canonical pilot data, and set access for named stakeholders.
    • Publish the triage workflow, SLAs, and on-call roster to the channel.
    • Create the first monthly yield health dashboard template and assign a report owner.
    • Review of Respins / Variability Sources
    • Define concrete improvements that materially reduce respin risk and speed qualification.
    • Assign owners and KPIs to ensure improvements are implemented and measured.
    • Pre-work & Data Package Confirmation
    • Produce a 90‑day improvement roadmap with owners, success metrics, and required budget or resource commitments.
    • Implement one simulation calibration improvement and validate its impact on a held-out dataset.
    • Create a standardized portability checklist for future ATE program handoffs.
    • One‑Line Current State & Impact Summary
    • Validate pilot ROI and secure executive approval for the proposed ongoing support model.
    • Obtain sign-off on funding or resource allocations required to execute the improvement roadmap.
    • Align executive stakeholders on the official acceptance status and communication plan.
    • Deliver an executive one‑page ROI and decision memo for signature.
    • If approved: execute contract amendments or support statement of work and allocate budget.
    • Publish the executive-approved roadmap and communication assets to the shared channel.
    • Confirm whether the pilot meets the predefined success signals.
    • Quantify the business/operational consequence of any shortfall.
    • Agree a clear decision (accept/conditional/retest) and assign owners for required actions.
    • Document gaps with prioritized hypotheses to feed the root-cause workshop.
    • Produce a one‑page outcomes summary comparing measured metrics to acceptance criteria (owner, due date).
    • If corrective work required: capture prioritized list of fixes, estimated effort and proposed validation plan.
    • Schedule the Lessons Learned / Root‑Cause Workshop with required data owners and engineers.
    • Publish the pilot dataset and summary to the shared support channel for ongoing reference.
    • Pre-read & Failure Mode Map Review
    • Convert observed discrepancies into a prioritized corrective action list with owners and testable acceptance criteria.
    • Ensure every corrective action is tied to measurable validation steps to prove remediation.
    • Clarify schedule impact and risk allocation for each corrective path.
    • Create a corrective action register listing priority, owner, ETA, validation data required, and rollback criteria.
    • Book necessary ATE time and probe/load board fabrication windows for approved corrective actions.
    • Simulation & Calibration Enhancements
    • ROI & Risk Mitigation Summary
    • One‑Sentence Current State Recap
    • Hypothesis Driven Troubleshooting
    • Triage & Escalation Workflow
    • Support Model & Ongoing Commitments
    • Consequence Quantification
    • Support SLAs and Notification Rules
    • Test Program Portability & Multi‑ATE Hardening
    • Corrective Action Brainstorm & Prioritization
    • Process Changes & Gate Criteria
    • Future State Confirmation
    • Validation Plan and Acceptance Criteria
    • Recurring Reporting Cadence
    • Decision & Executive Sign‑Off
    • Public Communication & Stakeholder Messaging
    • Knowledge Base & Runbook Items
    • Roadmap & KPI Tracking
    • Metric Walkthrough (Coverage, Test Time, Correlation)
    • Owners, Schedule, and Risk Allocation
    • Gap Analysis and Root Cause Hypotheses
    • Decision & Next Steps
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