Consumer
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Retail & Consumer Brands
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Consumer Goods Sales
Grocery & Food Retail
Complex multi-stakeholder trade relationships where shelf space, category management, and brand execution determine revenue.
Walmart
Kroger
Albertsons
Sprouts Farmers Market
Inside this journey
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Category & Stakeholder Discovery
Align on category goals, target stores, decision roles, constraints, and measurable success signals (velocity, shrink, availability).
Discovery Questions
A Quick Tour of Your Grocery World
- Please tell us your title and the departments or functions you directly manage (e.g., Fresh, Ops, Supply Chain, Tech).
- How many stores are in the estate you’re responsible for?
- Which store formats or clusters are most critical for your fresh strategy (select all that apply)?
- Which downstream metrics does your leadership ask about most often? Pick the top three.
- How would you describe your current cadence for category reviews and performance updates?
- What feels most urgent right now in your day-to-day operations?
Are You Quietly Accepting Shrink as Part of the Job?
- When you look at perishable shrink across your stores, what feels like the single biggest surprise or disappointment?
- What is your current average shrink rate in fresh departments (estimate if exact unknown)?
- Which departments drive the majority of shrink today?
- How do you currently attribute root causes for shrink (choose all data sources you rely on)?
- Tell a short story about a recent shrink event that surprised you—what happened, where did it happen, and what did it cost you?
- How does shrink make you feel in conversations with the CEO/Board—embarrassed, defensive, pressured, or pragmatically hopeful?
Who's Really That Final 'Yes' or 'No'?
- If we were to propose a pilot that affects ordering, supply, and merchandising, who inside your organization must sign off for it to proceed?
- Who tends to be the quiet blocker in cross-functional pilots—whose buy-in matters but is often missing?
- How do procurement and category management typically resolve disagreements about assortment or partner terms?
- When a new technology or supplier is proposed, which stakeholder’s metrics are used to decide success or failure?
- Describe a time internal alignment derailed a visible initiative—what signals were missed and who paid the price?
Where Do You Think Growth Lives — and Where Is It Slipping Away?
- If I suggested availability above 97% and 15% less shrink could add a full margin point, how believable would that be to your exec team?
- Which categories are top priority for growth or defense this year?
- Where have you recently lost share to competitors or private label because of availability or freshness issues?
- Which data sources do you rely on to spot availability problems early (select all that apply)?
- How often do you review store-level velocity and assortments to re-balance distribution?
- What’s one example of a product or subcategory where better availability directly led to measurable sales gains for you?
If We Could Measure Success Tomorrow, What Would Move the Needle?
- Which of these outcome metrics would convince you a program is working? (pick the three highest-priority).
- What absolute targets would you set for those KPIs to call a pilot successful?
- How quickly do you expect to see impact—days, weeks, or months—before deciding to continue or stop?
- Who needs to receive KPI reports and on what cadence for decisions to move forward?
- How do you prefer to visualize performance during a trial—raw tables, store maps, lift scenarios, or annotated storyboards?
What's Been Tried and Why Didn't It Stick?
- When you’ve piloted inventory or ordering tools before, what was the single biggest reason they didn’t scale?
- How do store managers typically react to new ordering or replenishment workflows—curious, overwhelmed, resistant, or supportive?
- What practical barriers at store level (staffing, scanner tools, connectivity, training time) have blocked past solutions?
- Give one concrete example of a support or enablement approach that did improve adoption for you—what changed and why did it help?
- If you could eliminate one persistent internal excuse for not scaling pilots, what would it be?
If We Designed a Safe Pilot, What Would Convince You to Scale?
- What would a low-risk pilot look like to you—how many stores, what length, and what constraints would make you comfortable?
- Which criteria would automatically qualify a store for the pilot (select all that apply)?
- What minimum performance thresholds (e.g., % lift in velocity or % reduction in shrink) would you require before agreeing to expand distribution?
- What supply commitments (lead times, fill rates, contingency stock) would you need from suppliers to avoid promotional or launch risk?
- How would you like us to surface early issues during a pilot—real-time alerts, weekly exception reports, or a single escalation owner?
- Who should we invite to a short internal readiness review before any pilot launch?
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Solution Experience
Validate how the product will drive category growth using store-level sales data, sampled feedback, and projected lift scenarios tied to customer KPIs.
Experience Meetings
- Current-State & Consequence Calibration
- Lift Modeling Workshop — Store-Level Scenarios
- Shopper Feedback & In-Store Proofing
- Decision & Acceptance Criteria Sign-off
- Recap: Current-State & Modeling Assumptions
- Generate a defensible lift model with base/conservative/aggressive scenarios tied to KPI and $ outcomes.
- Identify the minimum acceptable lift and the sensitivity thresholds that would fail the trial.
- Agree pilot footprint and the measurement/ownership plan for the test period.
- Host: Deliver the final lift model workbook with scenario tabs and assumptions annotated within 3 business days.
- Customer: Confirm and sign off the pilot store list and measurement owners.
- Joint: Define the A/B test start/end dates and reporting cadence (daily snapshots + weekly summary).
- Review Sampling & Intercept Results
- Confirm that shopper feedback and in-store evidence substantiate the demand assumptions used in the lift model.
- Identify and prioritize merchandising or packaging changes required before launch.
- Obtain explicit retailer confirmation that qualitative proof supports moving to a pilot.
- Customer & Host: Schedule and staff agreed sampling events for pilot stores with dates, times, and objectives.
- Host: Produce a short merchandising playbook (placement photo, signage, and facing counts) for pilot stores.
- Customer: Provide store-manager feedback template and assign who will collect/return manager notes weekly during the pilot.
- Executive Recap of Evidence
- Obtain explicit retailer decision (go/no-go) to run the agreed pilot based on the presented proof.
- Document and sign off on trial acceptance criteria, measurement cadence, and metric owners.
- Agree mitigation owners for top risks and confirm hand-off deliverables to the next stage.
- Customer: Provide formal decision sign-off (email or signed doc) and confirm pilot funding/promotional support if applicable.
- Host: Produce the trial acceptance document (criteria, stores, dates, reporting) and circulate for signatures.
- Joint: Schedule the Distribution & Merchandising kickoff meeting with confirmed attendees and deliverables.
- Produce and verbally confirm a one-sentence current-state diagnosis.
- Quantify the business consequence in dollars and margin points with clear assumptions.
- Agree KPI baselines and metric owners to be used in lift modeling.
- Customer: Deliver any missing POS/shrink fields and correct anomalies identified in the data check (due before the modeling workshop).
- Host: Prepare a one-page consequence summary (dollars, margin impact, and KPI baselines) and circulate to all participants.
- Assign a KPI owner at the retailer to sign off on baselines before the next meeting.
- Introductions & Meeting Objective
- Confirm Pre-work & Data Completeness
- Risk Review & Mitigation Plan
- Map Qualitative Signals to Demand Drivers
- Modeling Inputs & Sample Definition
- Acceptance Criteria & Measurement
- Run Primary Lift Scenarios (Base / Conservative / Aggressive)
- One-Sentence Current-State Diagnosis
- Planogram & POS Evidence Review
- Consequence Quantification
- Identify Remedial Merchandising or Packaging Changes
- Sensitivity & Failure Mode Analysis
- Decision & Sign-off
- Validate KPIs & Baselines
- Hand-off to Distribution & Merchandising Scope
- Force Validation: 'Would this change your acceptance judgment?'
- Tie Each Scenario to Acceptance Criteria
- Validation Check: 'Is this what you meant?'
- Agree Onboarding Steps for In-Store Execution
- Decision & Next Steps
- Decide Trial Footprint & Measurement Plan
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Distribution & Merchandising Scope
Define trial footprint, planogram placement, supply commitments, promotional calendar, velocity targets, and acceptance criteria.
Scope Configuration
- Integrate POS and ERP Sales Data Feed
- Deploy Perpetual Inventory for Fresh Departments
- Activate Automated Replenishment Engine
- Enable Demand Forecasting for Perishables
- Deploy Shrink Tracking and Loss Attribution
- Install Mobile Ordering App for Store Teams
- Deploy Planogram Compliance Scanning
- Enable Shelf Availability Alerts and Escalations
- Activate Department Profitability Dashboards
- Integrate Supplier EDI and Auto PO Submission
- Configure Inventory Aging and Markdown Suggestions
- Deploy Promotional Forecasting and Trade Lift Modeling
Scope Questions
Integrate POS and ERP Sales Data Feed
- Which systems will be the primary sources of truth for sales and inventory?
- List the POS and ERP vendors and versions to be integrated (include any customizations).
- What data fields must be included in the feed (e.g., SKU, store ID, timestamp, qty sold, price, returns)?
- Desired data delivery frequency?
- How many stores and legal entities will this integration cover?
- What technical connection methods are available or preferred (API/REST, SFTP, DB replication, EDI)?
- What are acceptance criteria for the integration (e.g., % data completeness, max latency, reconciliation tolerances)?
Deploy Perpetual Inventory for Fresh Departments
- Which fresh departments are in scope (Produce, Deli, Meat, Bakery, Prepared Foods)?
- Do SKUs currently have consistent identifiers across systems (UPC/SKU mapping)?
- What cycle count frequency do you want for perpetual inventory (daily, weekly, per shift)?
- Are scales/label printers and shelf tags required to support perpetual inventory at item level?
- Who will own day-to-day inventory reconciliation at store level (Store Manager, District Manager, Central Ops)?
- Do you require integration with POS/ERP for inventory adjustments and shrink accounting?
- What are the success criteria for perpetual inventory deployment (e.g., inventory accuracy %, reduction in stock variance)?
Activate Automated Replenishment Engine
- Which replenishment policies do you want supported (min/max, target days of supply, forecast-based)?
- What supplier lead time ranges and variability should the engine account for?
- Do you need automated PO generation and vendor approval workflows?
- How should overrides be handled at store or district level (e.g., manual edits, manager approvals)?
- What order cadence is required (daily, multiple times per day, weekly)?
- Which KPIs will determine acceptance of replenishment performance (e.g., fill rate, OOS reduction, inventory turns)?
- Any restrictions (truck capacity, case pack, supplier min order) that must be enforced by the engine?
Enable Demand Forecasting for Perishables
- How much historical POS/seasonal data is available for forecasting (months/years)?
- What forecast horizons are required (1-7 days, 2-4 weeks, 3-6 months)?
- Should the model account for promotions, weather, holidays, and local events?
- Do you need store-level, cluster-level, and/or chain-level forecasts?
- What forecast accuracy targets are acceptable (e.g., MAPE %, bias tolerance)?
- Will forecasts feed directly into replenishment and ordering workflows?
- Any external signals to integrate (weather APIs, local events calendar, syndicated data)?
Deploy Shrink Tracking and Loss Attribution
- Which loss categories should be tracked (waste/expire, theft, administrative error, vendor issues)?
- What baseline shrink rates and reporting granularity do you expect (per store, per dept, per SKU)?
- How will shrink events be recorded (mobile app scans, inventory adjustments, manager entry)?
- Do you require root-cause workflows and corrective action plans tied to shrink alerts?
- How frequently should shrink reports be generated and by whom reviewed?
- Are there existing loss codes or GL mappings that must be preserved?
- What acceptance criteria determine success (e.g., % shrink reduction over X months)?
Install Mobile Ordering App for Store Teams
- Which device types and OS will stores use (iOS, Android, dedicated handheld)?
- How many concurrent mobile users and stores will the app need to support in phase 1?
- Is offline mode required for ordering where connectivity is intermittent?
- Which features are must-haves (order entry, suggested orders, inventory lookup, receiving, photos)?
- What authentication and access controls are required (SSO, PIN, role-based)?
- What training and roll-out model do you prefer (train-the-trainer, onsite, virtual)?
- Acceptance criteria for mobile ordering (uptake %, error rate, order accuracy)?
Deploy Planogram Compliance Scanning
- Will compliance be validated by image recognition, barcode scans, or manual checklists?
- Where will canonical planograms be stored and how will they be versioned?
- What cadence of compliance checks is required (daily, weekly, during promos)?
- Which hardware will stores use for scanning (mobile phones, dedicated scanners, tablets)?
- What tolerance or threshold triggers remediation (e.g., % SKU missing, facings off by X)?
- Who will receive compliance exception alerts and what steps should be automated (task creation, reorder, manager notification)?
- Acceptance measures for planogram deployment (compliance %, time-to-fix, promo compliance)?
Enable Shelf Availability Alerts and Escalations
- What shelf availability thresholds should trigger alerts (e.g., zero stock, <2 facings, <X% fill)?
- Which channels should receive alerts (mobile push, SMS, email, ticketing system)?
- What escalation path and SLA should be applied based on severity and store role?
- Should alerts integrate with replenishment to auto-create POs or transfers?
- Do you require deduplication/aggregation logic to avoid alert storms (e.g., group by SKU, store, time window)?
- Who are the owners for alert resolution at store, district, and central levels?
- Acceptance criteria for alerting (response time, resolution rate, reduction in OOS incidents)?
Activate Department Profitability Dashboards
- Which KPIs should the dashboards include (gross margin, margin $/sqft, shrink impact, labor, basket lift)?
- At what roll-up levels are dashboards required (store, district, region, corporate)?
- What cadence and distribution are required for reports (real-time, daily digest, weekly executive)?
- Which user roles need access and what permission restrictions are required?
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Retail Authorization & Terms
Finalize listing terms, pricing, trade funds, delisting triggers, and supply SLAs to mitigate stockouts and promotional risk.
Agreement Modules
- Retail Listing Agreement
- Statement of Work (SOW)
- Pricing & Trade Fund Agreement
- Supply & Distribution Agreement
- Service Level Agreement (SLA)
- Quality & Food Safety Certification
- EDI / Order & Invoice Integration Agreement
- Promotional Execution & Calendar Approval
- Acceptance Criteria & Velocity Targets
- Payment Terms & Invoicing
- Delisting & Remediation Triggers
- Data Sharing & POS Reporting Agreement
- Change Order & Scope Management
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Launch Readiness
Operationalize store trials with readiness checks, logistics coordination, and acceptance criteria.
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Pre-Launch Readiness
Confirm logistics, EDI/order flows, inventory buffers, promotional materials, and store-manager enablement before shipment.
Readiness Questions
Quick Snapshot: Your Fresh Ops Today
- Approximately how many stores does your organization operate?
- Which fresh departments are you most focused on improving right now?
- How is ordering for those departments currently executed?
- What approximate weekly shrink percentage are you currently tracking in fresh (most recent quarter)?
- What is your average shelf availability for core fresh SKUs today?
- Which performance indicators do you review weekly for fresh departments?
- Who signs off on trial authorizations for new suppliers or systems in fresh?
Are You Comfortable With 'Good Enough'?
- If you had to guess, how often does 'good enough' ordering behavior cost you customers or margin in a quarter?
- Tell me about the most recent quarter when fresh shrink exceeded targets—what specifically happened and which decisions contributed?
- When a major promotion underperforms because of stockouts or spoilage, what downstream effects do you see (e.g., lost baskets, vendor relationship strain)?
- How does the operations team emotionally react when recurring stockouts or high shrink are called out by leadership?
- How quickly do executive stakeholders typically escalate persistent availability or shrink issues?
What’s Keeping Fresh Departments From Scaling Profitably?
- Which single workflow or mindset in stores do you believe is most silently capping fresh margin?
- How many hours per week does a typical store manager or department lead spend on ordering and manual inventory tasks?
- How receptive are store managers to automation that changes their ordering routine, and what are their main objections?
- Have you run pilots of demand forecasting, perpetual inventory, or automated ordering before? If yes, what prevented scaling?
- What root causes do you suspect drive most of your waste—forecast error, ordering cadence, promo planning, receiving practices, shrink theft, or other?
Picture a Week Without Unexpected Waste or Empty Shelves
- Imagine shrink drops to your target and availability rises above 97% for a sustained month—what immediate business outcomes would you expect?
- If that improvement translated to a one full margin point lift in fresh, how would you prioritize using the extra margin?
- Which metrics would make you feel confident that a new system is truly working—what are your non-negotiable targets?
- What would a successful week feel like to your store teams—less frantic, more predictable, more time for customer service? Describe the change.
- Which customer signals would convince you the shelf story improved (e.g., complaints down, repeat purchase rates up, mystery shop scores)?
Where Would You Need Guarantees, Not Hopes?
- What single outcome would cause you to stop a trial immediately and why?
- What minimum % improvement in velocity or % reduction in shrink would you require to consider expansion?
- How long of a trial window do you consider fair to prove operational and sales impact?
- Which contractual guarantees or SLAs are non-negotiable for you during a pilot or rollout?
- How do you plan to measure trial success operationally—POS velocity, store-level audits, inventory variance, or a combination? Explain the primary measurement.
How Ready Is Your Organization to Adopt Something New?
- If adopting a new system required 4–8 weeks of IT and operational readiness work, would your organization prioritize that now?
- What is the current state of your EDI/order flows and integration maturity?
- Which internal stakeholders must be aligned for a seamless rollout (select all that apply)?
- What integration or operational blockers have stalled prior rollouts (examples: POS data latency, inconsistent UPCs, receiving constraints)?
- How much IT or local ops capacity could you realistically commit to a pilot each week?
- During ramp, what inventory buffer policy would you be comfortable with to prevent stockouts while minimizing waste?
Small First Steps — What Would Make Pilots Impossible to Say No To?
- What would a pilot need to demonstrate on day one or week one to get an immediate operational champion inside your organization?
- What pilot footprint would feel low-risk yet meaningful to you?
- Which promotional windows, seasonal periods, or supplier events must a pilot align with to be credible?
- What specific data package would you need from us to convince category teams (e.g., store-level baseline velocity, projected lift scenarios, POS by daypart)?
- Who on your side would be the operational champion responsible for day-to-day pilot coordination?
- How soon could you realistically begin a pilot if integration and supply were confirmed?
- What communication rhythm and reporting cadence would you prefer during a pilot (e.g., weekly scorecards, daily alerts during promos, bi-weekly stakeholder reviews)?
- Is there anything we haven't asked that would make or break your willingness to engage in discovery or a pilot?
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Launch Execution
Coordinate first shipments, in-store merchandising, promotion execution, and task owners with clear sequencing and timelines.
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Post-Launch Validation
Verify POS velocity, shelf availability, shrink impact, and planogram compliance; capture corrective actions and learnings.
Validation Questions
Set the Scene: The Category We’re Talking About
- Briefly describe the category (produce, meat, deli, bakery, center store) and the specific subsegments or SKUs you want us to focus on.
- Which store group or geography should we treat as the core test footprint?
- Over the last 12 months, how has this category performed on sales and margin?
- Who currently owns category P&L and day-to-day assortment or ordering decisions (list roles/titles)?
- Which KPIs do you watch most closely for this category today?
If Shrink Could Speak, What Would It Blame?
- How often do perishable shrink spikes occur and in which stores are they most pronounced?
- What is your current average shrink rate for this category (provide percent or range)?
- When shrink climbs, what processes or behaviors tend to be the proximate causes (ordering cadence, promotions, receiving delays, manager discretion, theft, other)?
- Tell us about a recent shrink-related problem that surprised leadership—what happened, what did it cost, and who had to fix it?
- Who is held accountable for shrink reductions today, and what has been tried that did or didn’t work?
Why Do Shelves Go Quiet? (Availability & Out-of-Stocks)
- What is your typical on-shelf availability goal for this category and where are you actually tracking today?
- What are the top three root causes of out-of-stocks you see in this category?
- How do you currently detect and escalate stockouts — manual checks, daily reporting, mystery shops, POS alerts, or other?
- Share a recent promotional window where availability failed—what was promised, what failed, and what were the downstream consequences?
- How strongly do store managers push back on centralized ordering recommendations versus local autonomy?
Who Holds the Keys? Mapping Decision-Makers and Politics
- If we propose a trial that requires temporary planogram changes and ordering limits, which stakeholders must approve it before we launch?
- Which stakeholder groups are most likely to resist change, and what are their core concerns (e.g., margin, workload, store autonomy)?
- Describe a past internal approval or pilot that stalled—who blocked it and why?
- Which communication channels and governance cadences work best for getting cross-functional buy-in in your organization?
- Who should be the single point of contact (name & role) for this initiative so approvals aren’t delayed?
If You Could Win One Thing, What Would It Be? (Success Signals & Targets)
- If you had to name the single KPI that would make this pilot an unequivocal success, what would it be?
- What is your baseline and your target for that KPI during a pilot (please state baseline → target → timeframe)?
- What sample size or statistical confidence do you require to consider results valid (number of stores, weeks, or % lift threshold)?
- What downstream behaviors or operational changes would you expect to lock in if targets are met (expand distribution, change planogram, adjust pricing)?
- Are there red lines that a pilot must not cross (e.g., acceptable margin erosion, max trade spend, max stockout days)? Please quantify.
Supply & Ops Reality Check: Can We Keep Shelves Full?
- How would your supply chain rate its readiness for a multi-store trial (lead times, case pack flexibility, emergency replenishment)?
- What are typical supplier lead times and how often do suppliers miss them?
- Is EDI/automated ordering enabled between your stores and vendors today, and if not, what’s blocking it?
- Share any blackout dates, seasonal peaks, or planned supply constraints that could compromise a launch window.
- What supply-side commitments would you need from a brand to feel comfortable (lead-time guarantees, safety stock, dedicated promos)?
Where Will This Product Live? Planogram & Merchandising Decisions
- How fixed are planograms for this category and how quickly can you approve a temporary slot for a pilot?
- Who owns placement/fixture decisions and who will be responsible for in-store execution?
- What are your planogram compliance thresholds during a pilot (e.g., % of stores with correct facings by week 2)?
- Describe a placement or display that noticeably drove velocity in the past—what made it work?
- Would you require POS materials, shelf talkers, or demo teams for the pilot? If yes, which?
Pricing, Promotions & Trade: How Much Risk Are You Willing to Carry?
- What promotional mechanics do you most commonly use in this category (features, price drops, BOGOs, TPRs, end-caps)?
- What is your typical trade fund structure and approval process for a trial promotion?
- What level of margin erosion from promotional activity is tolerable during a pilot (percentage of gross margin)?
- What delisting triggers do you use today (velocity, availability, margin) and what thresholds apply?
- Have you seen promotions amplify shrink or stockouts before—tell us one example and its learnings.
Designing a Fair Test: Pilot Structure & Decision Rules
- How long would you prefer a pilot to run to surface reliable results for perishables (weeks)?
- Which stores should we include to produce meaningful signals (high performers, mid-tier, low performers, mixed)?
- What are non-negotiable go / no-go rules after the pilot (specific KPI thresholds or qualitative conditions)?
- If a pilot fails to meet targets, what corrective actions do you prefer—more execution support, different placement, extended trial, or delist?
- How would you like results presented—store-level dashboards, executive summary, or raw POS files for your analysts?
Risks, Concerns, and the Things That Keep You Up at Night
- What are your top three fears about adding a new supplier or SKU to this category?
- Which previous vendor launches caused the most friction—and what would you change if you could redo them?
- How much slack do your stores have to absorb pilot-related complexity (labor hours, re-facing, receiving time)?
- What emergency escalation path should we agree up front if availability or shrink goes off the rails during a promo?
- Are there contractual or compliance constraints (private label rules, slotting agreements) that would affect a trial?
Who Should Be in the Room — Contacts, Cadence & Next Steps
- Who are the core people (name & role) we should include in a kickoff workshop to ensure fast approvals?
- What meeting cadence do you prefer for pilot governance (weekly, bi-weekly, monthly, milestone-driven)?
- What pre-work would you like to see from us before a kickoff (data snapshot, sample-store selection, supply readiness checklist)?
- What date or window would you be ready to begin a pilot if all approvals are secured?
- Finally, what would make you hesitate to authorize a pilot today—please be candid so we can address it up front.
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Success
Review outcomes vs targets, agree next-step roll criteria, and maintain a shared channel for issues and enhancement requests.
Success Reviews
- Outcomes Review & Diagnosis
- Roll Decision Meeting (Expand / Extend / Delist)
- Improvement & Enhancement Workshop
- Operational Readiness & Shared Channel Setup
- Executive ROI & Next-Phase Planning
Issues & Enhancements
- Agree a reporting and governance cadence to keep leadership informed and to drive continuous improvement.
- Identify operational and supply prerequisites tied to the chosen scenario and assign owners.
- Agree on a communication plan and timelines for internal and supplier stakeholders.
- Publish the decision memo (includes criteria, timelines, and owners) to the shared CustomerNode journey channel.
- Trigger procurement/supply actions (POs, production forecasts) if Roll is approved, or define remediation checklist if Extend.
- Schedule follow-up checkpoints tied to milestone metrics (30/60/90 days) and owner reviews.
- Define Future State (one-sentence)
- Agree a prioritized list of interventions with measurable success criteria and owners.
- Define one or more experiments or remediation plans that will demonstrably prove the future state.
- Confirm required budgets and resource commitments to execute the top interventions.
- Create experiment charters for the top 2-3 interventions and share templates to all stakeholders.
- Assign project leads and publish a 30/60/90 day milestone plan with monitoring KPIs.
- Prepare a short trade-funding request and ROI summary for approvals if promotions are required.
- Channel Purpose & Scope
- Stand up a shared channel with a documented taxonomy, SLAs, and triage process.
- Assign operational owners and escalation contacts to ensure 24-72 hour response windows for critical issues.
- Welcome & Objectives
- Create the CustomerNode shared channel, populate initial templates, and invite the agreed users.
- Publish the SLA and escalation matrix to the channel and attach an onboarding guide.
- Schedule an onboarding session for channel users and the first monthly governance review.
- One-sentence Future State & Business Impact
- Obtain executive signoff or conditional approval for the next-phase plan and associated budget.
- Secure an executive sponsor to unblock cross-functional needs during rollout.
- Agree on the decision timeline and reporting expectations for the rollout or remediation phase.
- Produce a 1-2 page executive summary with ROI, decision rationale, and requested approvals and circulate to execs.
- Obtain formal signoffs (email or signature) from the named approvers and confirm kickoff date for next phase.
- Schedule the first executive checkpoint aligned to the milestone reporting cadence (30/60 days).
- Create a single, one-sentence statement of the current state that all stakeholders accept.
- Quantify the financial and operational consequences of current outcomes vs targets.
- Validate the integrity of the data used to decide next steps and capture any data gaps.
- Agree on whether the trial meets acceptance criteria or requires remediation and schedule the Roll Decision meeting.
- Produce a consolidated KPI dashboard (store-level) with source data links and share to all attendees.
- Assign owners to investigate any data discrepancies and deliver corrected reports within 3 business days.
- Draft a short root-cause summary tying each major gap to specific operational or supply issues.
- Recap Outcomes & Acceptance Criteria
- Reach a documented, ratified decision to Roll, Extend, or Delist with clear acceptance criteria.
- Current State (one-sentence)
- Prioritized Gap Review (Tie to consequence)
- Scenario Options & Threshold Mapping
- Key Outcomes vs Targets & ROI Summary
- Issue Taxonomy & Priority Matrix
- Consequence Summary (costs & risks)
- SLA & Triage Process
- Financial & Operational Impact Modeling
- Recommended Path & Roadmap
- Proposed Interventions (Proof-oriented)
- Risks, Mitigations & Contingency
- Data Walk (Proof)
- Experiment Design & Success Metrics (Force validation)
- Escalation & Governance
- Supply & Merch Readiness Check
- Request for Approval & Sponsorship
- Validation Checkpoints (Force validation)
- Resource, Cost & Trade Funding Review
- Decision & Criteria Documentation
- Tool Integration & Reporting Cadence
- Root-Cause Mapping (Tie back to problems)
- Commitments, Owners & Timeline
- Immediate Next Steps & Communications
- Onboarding & Access