Athletic Recruiting & Scouting Platforms
People decisions with significant organizational, financial, and cultural stakes.
Inside this journey
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Pre-Discovery
Align the room on outcomes, decision process, and constraints before deeper discovery.
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Stakeholder Alignment
Confirm decision roles (head coach, recruiting coordinator, athletic director), timeline, budget constraints, and what ‘good’ looks like for each stakeholder.
Alignment Questions
Quick Intro: Who’s on the Field?
- Which role are you answering as today?
- What division and level best describes your program?
- How would you summarize your immediate recruiting priority in one sentence?
- Which of these channels do you currently rely on most to discover prospects?
- If you had to pick one metric that defines a successful recruiting cycle for your staff, what would it be?
If This Keeps Happening, What Loses Out?
- Imagine you keep discovering prospects too late—what’s the single biggest thing your program loses because of that?
- How often over the last two recruiting cycles have you felt you missed a recruit because you identified them too late?
- Tell a specific example (briefly) of a player you wish you’d found earlier—what happened and what did it cost the program?
- Which stakeholders feel the consequences of late discovery most strongly in your program?
- When those misses happen, what emotions or pressures do you notice in the staff—frustration, scramble, resignation, finger-pointing, or something else?
Where the Radar Is Blind
- What assumptions are you making today about how ‘discoverable’ qualified prospects are to your staff?
- Which tools or platforms do you actively use now to build and filter prospect lists?
- Rate the reliability of your coach contact data today (how confident are you that the contact will reach the right person?):
- How do you currently verify performance data and measurables on prospects (e.g., timing, height/weight, event results)?
- Where do you feel most blind today—missing film, inaccurate contacts, outdated eligibility info, or compliance timing? Please rank the top two.
What Would 'Found Earlier' Actually Change?
- If your staff consistently found recruitable prospects 30–60 days earlier, what would change on game day, in recruiting outcomes, or in your program culture?
- Which measurable signals matter most to you when judging a discovery tool’s impact?
- What are realistic target thresholds for those signals (e.g., contact accuracy 90%, identify time <14 days)? Please list up to three.
- How would each stakeholder define 'good' for a discovery tool—what does the Head Coach insist on vs. Recruiting Coordinator vs. Athletic Director?
- Which success evidence would make you comfortable adopting a new platform (e.g., pilot with 10 verified prospects, improvement in target fill rate by X%)?
What Are You Willing To Change?
- What would feel riskier to you: adding administrative tasks that produce better targets, or keeping processes the same and accepting missed opportunities?
- Who inside your program must be convinced before you pilot or buy a new discovery tool?
- What budget range would make a meaningful solution viable for your program this year?
- What would a low-risk pilot look like to you (length, sample size, specific deliverables)?
- What’s the top objection you expect internally to trying something different, and how long has that concern been blocking change?
Walk Me Through Your Ideal Playbook
- If discovery worked perfectly for your staff, what would your day-to-day recruiting workflow look like from prospect surfacing to outreach?
- Which integrations are essential for that workflow to feel seamless?
- How many seats/accounts would you expect to provision initially for your staff?
- What format of enablement is most effective for your staff—live training, self‑paced modules, onsite workshop, or a blended approach?
- When it comes to data accuracy SLAs, what minimum contact accuracy would you require to consider the platform dependable?
Compliance and Timing: What Keeps You Awake?
- If you could wave a wand and fix one compliance-related pain point today, what would it be?
- How do you currently track NCAA contact windows and outreach limits for each athlete class/year?
- Have you faced a compliance issue in the last 24 months tied to outreach timing or inaccurate records? If yes, briefly describe.
- What compliance features would materially reduce your risk (choose up to three)?
- Who owns compliance sign‑off during recruiting in your program, and how quickly can they resolve ambiguous cases?
Let’s Make an Early Win Concrete
- What single metric or deliverable from a 30–90 day pilot would make you want to move to a full subscription?
- What minimum sample size (number of prospects or positions) would you want the pilot to demonstrate against?
- Which internal resources can you commit to a pilot (time per week, point people)?
- What would success look like at the end of the pilot—describe outcomes and evidence you’d expect to see.
- Realistically, when could you start a pilot if the terms met your needs?
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Current State Mapping
Document existing recruiting workflows, data sources, missed-target failure modes, and NCAA compliance gaps that drive the need for change.
Current State
Tell the Story of Your Last Recruiting Cycle
- Walk me through your most recent recruiting cycle — what were the main milestones, who owned each, and where did you feel the most strain?
- Which roles on your staff were primarily responsible for discovering prospects, validating film/metrics, and managing outreach?
- How did you keep track of where each prospect was in the pipeline (tools, spreadsheets, platform names)?
- On average, how long did it take from first identification to having a verified contact and film for a recruit you were actively pursuing?
- If you had to name the single moment in that cycle that most often derailed a recruit’s progression, what was it?
- Who on your staff would you say felt the most frustrated at the end of that cycle, and why?
What If Your System Is Quietly Letting Talent Slip Away?
- How often do you discover a recruit too late — after other programs have engaged or roster spots are effectively closed?
- Can you share a recent example where a prospect appeared on your radar too late — what signs did you miss and what would you change in hindsight?
- What are the most common reasons you think causes late discovery: scouting blindspots, data delays, limited search filters, film access, or something else?
- How long has late discovery been a recurring problem for your program?
- When late discovery happens, what is the typical downstream impact on your class, practice plans, or staff workload?
Where the Data Lives — and Where It Gets Lost
- Which of these sources do you currently rely on to populate prospect profiles?
- Who owns the truth for each data type (film, measurables, academics, contact info) inside your staff — and how is that recorded?
- How frequently do you encounter conflicting or duplicate records for the same prospect across systems?
- Describe a recent instance where missing or outdated data directly prevented you from contacting or evaluating a recruit.
- What integrations or automated feeds would meaningfully reduce manual data cleanup for you (e.g., film hosting, HS stats feeds, event ingestion, contact verification)?
The Real Cost: What Missing Targets Actually Costs You
- When you think about the last cycle, how would you quantify the cost of missed targets — scholarship hours, positional gaps, lost wins, staff overtime, or recruiting budget waste?
- Tell me about a time a missed recruit changed the composition or competitiveness of your class — what happened in the season after?
- How do missed targets affect staff morale and the head coach’s confidence in the recruiting process?
- If you could measure one metric to show the business impact of missed targets, what would it be (e.g., percentage of offers filled, time-to-identify, verified contact accuracy)?
- How comfortable are you giving a dollar estimate to the cost of a single missed high-value target (recruit who would have likely earned playing time)?
Are You Confident Your Compliance Radar Is Sharp?
- Have you ever lost or had to alter a recruiting opportunity because outreach timing or contact rules were misapplied?
- Who is responsible for tracking NCAA contact windows, and how do you ensure all staff follow the same calendar?
- Describe any near-miss compliance incidents you’ve had (e.g., accidentally contacting recruits in a closed window). What caused them?
- Which compliance controls do you currently use or wish you had: automated calendar blocks, outreach limits per prospect, audit logs, or coach-specific alerts?
- How much would reducing compliance risk (fewer manual mistakes, automated timing) accelerate your willingness to adopt a new platform?
How Decisions Really Get Made Here — Not on Paper
- If a new recruiting platform promised better discovery and compliance automation, who would need to be convinced before you could pilot it?
- What are the non-negotiable criteria each decision-maker will use to evaluate a pilot (e.g., ease of use, verified contact accuracy, proven placements, cost)?
- What budget range is realistic for your program this year for a recruiting platform (annual), and what is the approval path?
- What would a minimal, low-risk pilot look like for you (duration, seat count, success criteria)?
- Who on your staff will own adoption and day-to-day use if a new tool is introduced?
If a Tool Fixed Your Top Headache — What Would It Prove First?
- What three measurable outcomes would make you say 'this works' after a 60–90 day pilot?
- What SLAs or guarantees matter most to you (e.g., contact accuracy %, film playback uptime, search result latency)?
- How will you measure staff adoption and whether coaches actually use the tool in decision-making?
- What would be an acceptable trade-off between improved discovery and added administrative steps (e.g., a small setup burden for big discovery gains)?
- If results don’t show in the pilot window, what would you want to see next from a vendor to regain confidence?
What Would Change Require — Practically Speaking?
- What integrations, data handoffs, or internal approvals are required before a pilot can begin (film access, roster exports, contact lists, calendar permissions)?
- Who on your side would handle integration tasks and how much weekly time can they commit during onboarding?
- What obstacles are most likely to derail a pilot (staff bandwidth, technical blockers, budget delays, coach buy-in)?
- If you could commit one small change today to improve discovery (data source, process, role change), what would it be?
- Realistically, when could you be ready to start a short pilot that tests discovery plus compliance features?
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Outcome Discovery
Define measurable success signals (e.g., time-to-identify prospects, verified contact accuracy, number of recruitable targets) and acceptance criteria for adoption.
Discovery Questions
Start Here: What's Most Important Right Now?
- What's the single recruiting outcome you most need to see in the next 6–12 months?
- Which roles on your staff will be most accountable for delivering that outcome?
- How would you quantify success for this outcome—what exact metric(s) would let you say 'we did it'?
- What deadline or milestone should we use to show initial progress?
- Who outside the coaching staff needs to sign off on the outcome (e.g., AD, compliance), and how do they prefer evidence presented?
If Success Were Obvious, What Would It Change?
- If you could guarantee finding three recruitable prospects each month, what would be different about your program next season?
- Which recruiting metrics do you think would move first if that guarantee were true?
- Tell me about a recent recruiting cycle where you felt you missed prospects—what specific milestone or breakdown caused that miss?
- How long has that breakdown been affecting your results, and what has it cost the program in practical terms?
- Which day-to-day behaviors or processes would need to change on your staff to capture the upside of earlier discovery?
- What would convince you that those behavioral changes are realistic and sustainable?
What's Slowing Decision-Makers From Saying Yes?
- What's the single thing about new scouting platforms that makes your AD or head coach instinctively hesitate?
- Can you recall a specific vendor or tool you rejected—what evidence was missing that would have changed the decision?
- What non-negotiable acceptance criteria would your leadership require before approving a pilot or purchase?
- How much runway do decision-makers expect to see performance (30/60/90 days) before they make a final call?
- What procurement or budget constraints are likely to shape the final commercial terms?
Data That Makes You Confident
- When an athlete's profile appears in search, what single data point would make you say 'look at this one'?
- How do you currently verify contact accuracy and how often do you find errors?
- Which analytics or metrics do you trust most when evaluating under-the-radar prospects?
- How would you like evidence surfaced in the UI—ranked by fit, sample clips inline, comparison cards, or something else?
- What maximum acceptable error rate on contact info or performance metrics would you tolerate for go/no-go?
- If we offered SLA-backed accuracy, what verification cadence would you require (how often should we re-verify)?
Who Needs to Be Convinced — and How They Think
- Which stakeholder on your side is most likely to veto adoption and why?
- For the head coach: what demonstration, evidence, or outcome would make them champion the platform?
- For the recruiting coordinator: which features would genuinely save time or improve evaluation quality?
- For the athletic director: which proof points matter most—peer adoption, placement ROI, cost per recruit, or documented compliance improvements?
- Who should be in the room for pilot kickoff so each stakeholder sees their win?
- How do each of these stakeholders prefer progress reported—dashboard, weekly email, in-person demo, or executive summary?
Show Me the Numbers — Acceptance & Success Criteria
- If we measured the pilot by one KPI, which would it be and why?
- Set numeric targets: what would success look like at 3 months and at 12 months for that KPI?
- What minimum sample size (number of prospects, positions, or events) do you need to trust pilot results?
- Which operational SLAs must we agree to (e.g., film upload time, contact verification SLA, search reproducibility)?
- How will you measure coach adoption during the pilot—logins, searches run, target boards built, outreach attempts?
- What thresholds would trigger a 'go' decision versus a 'no-go' at pilot end?
What Will Make This Stick?
- What friction during onboarding or early use would make your staff quietly stop using a new platform?
- What training cadence and materials help your staff adopt tools quickly and confidently?
- Which team members must demonstrate competency for the platform to become standard practice, and what does competency look like for each role?
- What ongoing governance (weekly review, owner of data hygiene, quarterly audits) will ensure long-term use?
- If adoption lags after 90 days, what corrective actions would you expect from a vendor?
- Which communication channel do you prefer for ongoing issues, feature requests, and incident response?
Quick Wins & Pilot Design
- What's one small, measurable win we could deliver in the first 30 days that would change perception on your staff?
- Which athlete cohort should we target for that win (by graduation year, position group, or geography)?
- What specific data and access will you commit upfront for a pilot (film, roster, existing prospect lists, compliance calendar)?
- Who will own pilot success on your side (name/role) and who will be the day-to-day contact?
- What reporting cadence and formats would you like during the pilot to feel informed but not overwhelmed?
- How will we define go/no-go at pilot end—what meeting, evidence, or approvals must happen to proceed?
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Solution Experience
Work through targeted scenarios using the program’s roster needs to show how searchable profiles, video+analytics, and contact filters produce recruitable prospects and maintain NCAA-compliant outreach timing.
Experience Meetings
- Solution Experience Kickoff — Current State, Consequence & Success Signals
- Roster Scenario Definition & Data Mapping
- Targeted Search & Profile Evaluation Workshop (Live)
- Outreach Timing & NCAA Compliance Simulation
- Validation, Acceptance Checklist & Pilot Commitment
- Obtain coach confirmation that the outreach cadence is acceptable operationally.
- Quick Recap & Objectives
- Produce reproducible target lists for each scenario using platform filters.
- Verify video and analytics quality are sufficient for coach evaluation.
- Confirm stakeholder agreement that results map to the defined Future State.
- Capture any data quality issues or filter adjustments required.
- Export and share the scenario search results and annotated shortlists.
- Log and prioritize any profile/video quality defects for remediation.
- Update filter presets per coach feedback and save scenario templates.
- Compliance Rules Mapping
- Prove that outreach schedules align to NCAA rules for each scenario.
- Demonstrate automated compliance alerts and exception handling.
- Agree on contact accuracy SLA and process for remediating bad contact data.
- Introductions & Objectives
- Customer to approve compliance calendar settings for the pilot.
- Document and accept contact accuracy SLA and remediation workflow.
- Flag any special-case compliance rules that require custom handling.
- Reproduce Key Scenario Searches
- Obtain stakeholder sign-off on the acceptance checklist for the Solution Experience.
- Agree pilot scope, duration, seats, and measurable success metrics tied to earlier success signals.
- Schedule Deployment Readiness activities and assign owners.
- Stakeholders sign and return the acceptance checklist and pilot SOW.
- Seller to provision pilot environment with the agreed settings and seed data.
- Set a date for Pre-Deployment Readiness review and onboarding kickoff.
- Create a single-sentence Current State agreed by all stakeholders.
- Quantify the business/athletic consequence of the current state with at least two metrics.
- Define the one-sentence Future State and the success signals to prove it.
- Agree required pre-work, data, and owners for scenario setup.
- Document and circulate the one-sentence Current State and Future State statements.
- Customer to supply sample roster, 3 missed-target examples, and representative film links for scenarios.
- Confirm attendees and owners for the Scenario Definition meeting.
- Recap Preconditions
- Finalize 3–5 scenario definitions tied to roster priorities.
- Confirm exact datasets and permissions required to execute each scenario.
- Agree measurable validation criteria for each scenario.
- Assign owners and schedule the sample data import window.
- Customer uploads agreed sample roster, film links, and contact seed list to a secure location.
- Seller schedules data import and confirms access credentials with IT/security if required.
- Owner to create a scenario checklist with the validation criteria for workshop use.
- One-sentence Current State
- Live Filtered Search per Scenario
- Roster Needs & Priority Positions
- Configure Compliance Calendar & Filters
- Video & Analytics Playback Verification
- Compliance Alerts & Outreach Log Review
- Simulated Outreach Sequence
- Profile Deep-dive (video + analytics)
- Select Representative Scenarios
- Quantify the Consequence
- Shortlist Formation & Scoring
- Contact Accuracy & SLA Discussion
- Map Data Sources & Quality
- Acceptance Checklist Walk-through
- Define the Future State (one sentence)
- Success Signals & Acceptance Criteria
- Define Data Import & Permissions Plan
- Validation: Compliance Exceptions & Coach Sign-off
- Tie Results Back to the Problem
- Pilot Parameters & Next Steps
- Validation Criteria per Scenario
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Solution Scope
Define included modules (database access, video hosting, analytics, compliance calendar), seat counts, integrations, responsibilities, and measurable deliverables.
Scope Configuration
- Enable Program Search Console
- Bulk Import Prospects into Recruiting Board
- Activate Advanced Filtering by Performance Metrics
- Host and Transcode Athlete Video Library
- Generate Timestamped Play Clips with Metrics Overlay
- Provide Verified Coach Contact Directory
- Enable Coach Outreach Messaging
- Activate Compliance Contact Logging and Exports
- Integrate NCAA Contact Windows and Alerting
- Deliver Scholarship and Roster Availability Dashboard
- Stream and Tag Live Recruiting Events
- Verify Athlete Academic Records and Transcripts
- Export Prospect Data and Video Packages (CSV/ZIP)
Scope Questions
Enable Program Search Console
- Which user roles should have access to the Program Search Console?
- Do you need search scoped by Division, Conference, custom program lists, or geography?
- What program attributes must be searchable (e.g., roster needs, scholarship status, coaching staff tags)? List required fields.
- How many concurrent search users/sessions do you expect during peak recruiting periods?
- Do you require saved searches, shared search dashboards, or scheduled search reports?
- What are the acceptance criteria for the search console (e.g., result relevance, latency, filter accuracy)? Please specify measurable targets.
Bulk Import Prospects into Recruiting Board
- What source formats will you import from (select all that apply)?
- Approximately how many prospect records will be imported in the initial upload?
- Will imported records include video links, timestamps, and academic documents? Choose all that apply.
- Do you require deduplication, record matching, or advanced merging logic during import?
- Which fields must be mandatory or mapped during import (e.g., name, grad year, position, contact, video URL)?
- Who will be responsible for data verification and approval post-import?
Activate Advanced Filtering by Performance Metrics
- Which performance metrics are required for filtering (e.g., speed, vertical, position-specific analytics)? Please list.
- Do you need percentile rankings or relative comparisons (region, state, national) included in filters?
- Should filters support compound queries combining metrics, academics, and roster fit (e.g., GPA >3.2 AND 40yd <4.6)?
- Do you need pre-set filter templates for common recruiting profiles (e.g., 'D-1 Defensive Back prospect')?
- Do any sports or positions require custom or non-standard metrics that must be implemented?
- If yes, please list sports/positions and the custom metrics required.
Host and Transcode Athlete Video Library
- Which video input formats do you need the platform to accept?
- What initial storage tier is required for your program (per program or overall)?
- Do you require automatic transcoding to multiple bitrates / adaptive streaming (HLS/DASH)?
- What is your expected peak playback concurrency during scouting sessions or live review?
- What retention and archival policy should apply to hosted video (e.g., permanent, 1 year, custom)?
- Who will own video uploads and quality checks (athlete/family, recruiting coordinator, video admin)?
Generate Timestamped Play Clips with Metrics Overlay
- Do you want automated clip generation from full-game uploads based on play detection?
- Should clips include an overlay of metrics (e.g., speed, distance, camera-tagged stats)?
- Do you need an editor interface for manual trimming, tagging, and annotating clips?
- Which export formats are required for clips and metadata?
- What is the expected volume of clips per athlete that the system should handle?
- Who must approve or quality-check generated clips before they are made available to coaches?
Provide Verified Coach Contact Directory
- What coach contact fields must be included (e.g., role, email, phone, preferred contact method)?
- What verification cadence do you require for coach contacts?
- Which data sources are acceptable for verifying contacts (conference directories, school sites, third-party sources)?
- Do you need direct-dial phone numbers and mobile contacts in addition to emails?
- Do you require role-level contacts (Head Coach, Recruiting Coordinator, Position Coach) to be separately tagged?
- What minimum accuracy rate for the contact directory is acceptable for go-live (e.g., >95%)?
Enable Coach Outreach Messaging
- Which outbound messaging channels should be enabled?
- Do you require message templates for outreach (and if so, how many/template types)?
- Do you need reply tracking, threading, and conversation history linked to prospect profiles?
- Are rate limits or throttling required on outbound messages to comply with policies or workload?
- Should outbound messaging be restricted by role or require approvals before sending?
- Do you require tracking of open/reply metrics and exportable engagement reports?
Activate Compliance Contact Logging and Exports
- Which compliance events must be logged (contact attempts, successful contacts, call notes, attachments)?
- What export formats are required for audits (CSV, PDF, API audit feed)?
- What retention period is required for compliance logs?
- Who is the primary owner for compliance review and audit responses?
- Do you need automated exports and reports generated on a schedule for NCAA or internal audits?
- Are there custom compliance fields (e.g., internal case IDs, clearance codes) to include in logs?
Integrate NCAA Contact Windows and Alerting
- Which sports and graduation classes must have NCAA contact window rules configured?
- Do you require real-time alerts for window openings/closures or daily/weekly digests?
- Should alerts be delivered to individual coaches, team channels, or both?
- Do you need acknowledgement/read receipts for critical compliance alerts?
- Do you require calendar sync (Google/Outlook) that blocks or annotates contact windows on coach calendars?
- What are acceptable alert latency targets (e.g., immediate, within 5 minutes, hourly)?
Deliver Scholarship and Roster Availability Dashboard
- Which scholarship data sources will feed the dashboard (athletic dept, conference reporting, manual entry)?
- What granularity is required (scholarships by sport, position, class year)?
- Do you want predictive modelling for future openings (e.g., projected attrition, graduation)?
- Who will be responsible for maintaining and updating roster/scholarship data?
- Which sharing/export capabilities are required (PDF snapshot, CSV export, API)?
- What accuracy threshold do you require for scholarship counts and roster availability to accept the dashboard?
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Mutual Commit
Finalize commercial terms, trial or pilot parameters, SLAs for coach contact accuracy, and mutual acceptance criteria for go/no-go.
Agreement Modules
- Statement of Work (SOW)
- Commercial Terms & Quote
- Pilot / Trial Agreement
- Service Level Agreement (SLA)
- Coach Contact Accuracy SLA
- Acceptance Criteria & Go/No-Go
- Implementation & Integration Plan
- Training & Enablement Commitment
- Data Processing & Privacy Agreement (DPA)
- NCAA Compliance Responsibility Addendum
- Security & Liability Addendum
- Payment Terms & Billing Authorization
- Renewal, Termination & Refund Terms
- Change Order & Scope Management
- Reporting & KPI Delivery Schedule
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Deployment
Operationalize rollout with readiness checks, enablement, and outcome validation.
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Pre-Deployment Readiness
Confirm data access, film and roster handoffs, coach contact lists, calendar sync permissions, and NCAA compliance settings are in place.
Readiness Questions
Start with the Scoreboard: Your Recruiting Snapshot
- Tell us who you are on the staff and how you’d like us to address you during this process.
- How many roster spots or scholarship opportunities are you actively recruiting for right now (by class)?
- Which recruiting classes are you prioritizing this cycle?
- Which tools or channels do you currently rely on most to find prospects?
- How long have you used your primary recruiting tools or workflows?
- In one sentence, what outcome from our collaboration would make you feel this was time well spent?
If You Could Change One Thing Tomorrow, What Would It Be?
- What single recruiting problem do you wish disappeared overnight?
- Where does your staff lose the most time in the discovery → evaluation → outreach sequence?
- How often does timing (discovering a prospect too late) directly cost you a recruit?
- Tell a recent story where a missed or late discovery changed the class outcome—what happened and how did it feel for the staff?
- Which stakeholder reaction worries you most when a target is missed (head coach / AD / players / parents)?
Hidden Gaps We Don't Talk About
- How confident are you in the accuracy of the athlete contact details you rely on?
- Which data sources feed your decision-making and how dependable is each?
- Where do you see the biggest gaps between what you need to evaluate a prospect and what your current data provides?
- How often do you encounter incomplete or unverified performance metrics (e.g., timings, heights), and what do you do when that happens?
- What adverse downstream effects do these data gaps create (e.g., wasted visits, false leads, compliance risk)?
The Moments That Make or Break a Class
- When you look back at your most successful classes, what discovery or decision moment made the biggest difference?
- What specific signals turn a prospect from “interesting” into “actively pursued” in your program?
- What is an acceptable baseline for time-to-identify a recruitable prospect in your view?
- What level of contact accuracy would you require from a vendor (e.g., percent correct for coach emails/phone numbers)?
- How do roster needs, academic standards, and scholarship budgets interact to change who you actively pursue?
What Would 'Effortless' Recruiting Look Like?
- Imagine discovery and initial outreach required almost no admin—what would you be doing with the time you saved?
- Describe the ideal workflow from a raw prospect appearing in your search to scheduling first contact.
- Which platform features would immediately reduce your friction (select top three)?
- Which integrations are absolutely non-negotiable for your staff to adopt a new tool?
- How would you measure staff adoption success in the first 60–90 days?
Red Flags, Deal-Killers, and Non-Starters
- What compliance or data-security issues would immediately stop you from moving forward?
- Which contract or commercial terms are non-negotiable for your AD or procurement (e.g., cancellation, data portability, liability)?
- What range of annual budget is realistic for a tool that demonstrably improves recruit discovery and outreach?
- How important is it that peer programs in your conference are already using the tool?
- Have you had prior vendor experiences that left you distrustful? What happened and what would restore your confidence?
What Success Will Look Like — and How We’ll Know
- Which of these measurable outcomes would indicate success to you after a pilot?
- Please provide current baselines for the metrics you selected (e.g., average time-to-identify in days, % contact accuracy, prospect-to-offer conversion rate).
- What timeline do you expect for evaluating a pilot before a go/no-go decision?
- Who needs to sign off for the pilot to proceed and who signs off on the final purchase decision?
- What quantifiable acceptance criteria would justify widening deployment across your staff?
Next Steps: Small Bets, Big Outcomes
- If we were to run a low-risk pilot, what data and assets could you provide in the first 30 days?
- Who on your staff will be the day-to-day owner for integrations, training, and issue triage?
- What would make you pause or walk away during a pilot?
- What support, onboarding cadence, or training format would make your staff most likely to adopt quickly?
- Finally, what single metric or outcome would make you excited to recommend this platform to your AD or peer coaches?
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Deployment Enablement
Schedule onboarding, training for recruiting staff, and execute integrations with clear owners, timelines, and milestone checkpoints.
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Validation Checklist
Verify profile uploads, search/filter results reproduce target lists, video/analytics playback quality, and compliance alerts function as expected.
Validation Questions
Quick Snapshot: Your Recruiting Rhythm
- Which sport and class year should we focus on for this conversation?
- Briefly describe your current recruiting season rhythm—peak months, key evaluation windows, and who typically leads each stage.
- Who owns day-to-day scouting versus final decisions? (select all that apply)
- Which channels produce the majority of your new prospects today?
- How often in a typical recruiting cycle do you feel you identify prospects before competitors do?
- Tell us about one recent example where timing or discovery directly changed an outcome for your roster.
Are You Comfortable Losing the Ones That Slip Through?
- How many prospects could you afford to lose this recruiting cycle before it would change how you do your job?
- Think of the last recruit you missed—what was the single biggest reason we didn't connect sooner?
- How often do you discover a prospect only after they've committed elsewhere?
- Which patterns show up most often in missed targets (choose all that apply)?
- When a miss happens, who inside your program feels that consequence most and why?
- How does repeatedly missing targets change how you approach the next recruiting cycle—cautious, reactive, different priorities?
Where Discovery Quietly Falls Apart
- What if your deepest recruiting blind spots are inside the systems you already rely on—where would you look first?
- Which of these data sources do you rely on to build profiles? (select all that apply)
- How do you currently verify measurables and performance metrics?
- When you run searches today, roughly what percent of profiles return usable film plus verified metrics?
- Walk me through a recent search you ran—what filters did you use, what came back, and what frustrated you about the results?
- Which search features are currently missing or underperforming for you? (select all that apply)
- How long does it usually take your staff to assemble a recruitable list for an open position?
Imagine Scouting Was Effortless — What Would Change?
- If your staff could reliably surface undervalued prospects two months earlier, what would that let you do differently this season?
- What measurable signals would convince you a platform is working? (pick up to three)
- Which of those signals would be an absolute threshold for adoption (name a metric and threshold)?
- How would you define 'adoption' success inside your program—what behaviors or outcomes show staff are actually using it?
- Describe what a successful day one month after adoption looks like for the recruiting coordinator and head coach.
- Who must feel the benefit most for this to be considered a real win (and how would you recognize that)?
If Compliance Was Invisible, How Would You Reach Out?
- How much of your outreach strategy is shaped by fear of violating NCAA rules versus actively chasing the right prospect?
- Which NCAA-related constraints cause you the most headaches? (select all that apply)
- How do you currently track compliance windows and outreach history?
- Have you ever delayed outreach because you weren't certain of timing? If so, tell me about a time it mattered.
- What would an ideal compliance alert look like—who receives it, when it fires, and what action it prompts?
- Would automated enforcement (blocking outreach outside windows) be acceptable, helpful, or too restrictive for your process?
Can Your Staff Run This Without Burning Out?
- What if adopting a new platform added five hours of admin work per week—would your staff actually use it?
- Which roles will actively use the platform? (select all that apply)
- How many user seats do you anticipate needing at launch?
- What level and format of training would make your staff feel confident? (select all that apply)
- What existing internal processes would need to change to integrate a new scouting tool?
- Which ongoing support model would you prefer after launch?
Show Me the Proof: What's a Win in a Pilot?
- If we ran a 30–90 day pilot, what single outcome would make you recommend purchasing the platform?
- Which pilot length do you prefer?
- Which pilot metrics should we prioritize? (select up to three)
- Who will sign off on pilot success inside your program?
- What artifacts would convince you at pilot close (examples: before/after search exports, verified contact list, sample video+analytics clips)?
- What practical constraints could block a pilot from starting (select all that apply)?
Deciding Together: Next Moves and Timing
- If there were a clear path to reducing missed targets by half, how quickly would you expect your program to act?
- What's your program's typical decision timeline for adding new tools?
- Who needs to be involved in the final commercial and pilot approval conversation?
- What budget range would make this solution a likely yes versus a non‑starter for your program?
- What remaining information or examples would decision makers need to feel comfortable moving forward?
- What's the best way we can help you get internal buy‑in (select all that apply)?
- Are there any political, cultural, or conference dynamics that could influence adoption—if so, please describe.
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Success
Review outcomes against success signals, share placement evidence, and maintain a shared channel for issues and product enhancements.
Success Reviews
- Success Metrics Review — Outcome Validation
- Placement Evidence Showcase
- Operational Lessons Learned & Issue Triage
- Product Enhancement & Shared Channel Governance
- Quarterly Health & Renewal Check (Commercial & Adoption)
Issues & Enhancements
- Publish triage rules and SLAs as pinned documents in the channel.
- Prioritize operational issues by impact and agree immediate remediation actions.
- Assign clear owners and SLAs for each remediation and process change.
- Define a validation plan to verify the effectiveness of fixes within the remediation window.
- Create an issue backlog with impact scoring and owners in the shared channel.
- Implement agreed quick wins and report completion status within 14 days.
- Run a sample re-check (n=10) for contact accuracy and film playback after fixes and share results.
- Define Channel Purpose & Participants
- Create a governed shared channel with clear scope, participants, and escalation paths.
- Agree on triage rules and SLAs so issues and enhancement requests are handled predictably.
- Define a repeatable backlog grooming and roadmap input process for co-innovation.
- Set up the shared channel with invited participants and post the channel charter.
- One-sentence Current State
- Schedule the first backlog grooming session and invite decision makers.
- One-sentence Future State Reminder
- Demonstrate program health and make a concrete commercial decision (renew, expand, extend pilot, or cancel).
- Ensure the AD and head coach have the evidence needed to authorize budget decisions.
- Define conditional items and timelines required to finalize the renewal or expansion.
- Provide a one-page business case linking placements and adoption metrics to recommended commercial action.
- If renewal is conditional, list required remediation items and owners with deadlines to achieve before contract sign.
- Schedule the contract signature or follow-up decision meeting and notify finance/legal contacts.
- Validate each success signal with evidence and declare pass/fail against acceptance criteria.
- Agree on quantified consequences for any unmet signals to create urgency for remediation.
- Assign remediation owners and timelines if acceptance criteria are not met.
- Deliver a one-page success signal scorecard that compares actuals to targets and highlights gaps.
- Owner to prepare root-cause notes for any failed signals within 5 business days.
- Schedule follow-up validation check within agreed remediation window (30/60/90 days as decided).
- Placement Summary Dashboard
- Provide irrefutable evidence linking platform activity to roster placements and coach actions.
- Confirm data provenance and coach acceptance of the placement narratives.
- Establish metrics to report placement outcomes going forward (format and cadence).
- Export and share the placement dossier (profiles, outreach logs, commitment confirmation) in a secure folder.
- Agree on a recurring placement report template and distribution list (monthly/quarterly).
- Flag any disputed placements and assign an owner to reconcile within 7 business days.
- Current State Recap (One-liner)
- Issue Triage & Prioritization Rules
- Issue Inventory (Grouped by Impact)
- Verified Evidence Walkthrough
- Measured Success Signals (Data Review)
- Health Dashboard: Adoption & SLA Compliance
- Backlog Grooming Cadence
- Consequence Quantification
- Root Cause & Quick Wins
- Contact Trail & Accuracy Audit
- Outcomes & Placement Review
- Roadmap Input & Co-Innovation Paths
- Commercial Discussion: Renewal/Expansion Options
- ROI & Time Savings Illustration
- Process & Responsibility Changes
- Future State Confirmation
- Validation Plan
- Validation Q&A
- Ownership, Reporting, and Transparency
- Decision & Action Plan
- Decision & Next Steps