Customer research call guide

Research Guide: Root Cause Analysis for H2 Squad Allocation

Prepared by: Staff Product Manager Target Audience: Executive Team (CEO, CPO, VP CS, Head of Product) Timeline: 3 weeks of interviews; executive decision in Week 4 Scope: 12 calls (45 minutes each)

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1. Executive Summary & Recommended Changes to the Call Plan

Before executing this sprint, we must adjust three structural flaws in the proposed plan to protect data integrity:

1. Resolve the Account-to-Call Ratio: 12 calls cannot cover two separate stakeholders across 12 accounts. We will target 6 accounts total (3 churned, 3 at-risk) and conduct 2 distinct calls per account: one with the Warehouse Operations Manager (day-to-day user) and one with the VP of Operations/COO (economic buyer). Evaluating both perspectives within the same operational context is essential to determine whether operational failure or strategic misalignment triggered the exit.
2. Quarantine Active Renewals: 5 of the proposed 6 at-risk accounts are actively negotiating renewals and receiving discounts. Interviewing these buyers creates an immediate incentive for them to exaggerate product flaws to gain commercial leverage. We will swap 3 of these with at-risk accounts that are not currently negotiating pricing.
3. CEO Interview Protocol: Executive presence introduces severe confirmation and deference bias—especially with personal contacts who already know Ana's passion for robotics. Recommendation: Ana should join her 4 target calls as an executive sponsor for the first 3 minutes, then hand off lead facilitation to a Product Manager, remaining on mute as an observer. If Ana leads, she must strictly follow the non-leading script provided.

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2. Core Learning Goals

1. Pinpoint the Churn Decision Window: Did the customer mentally churn during the onboarding/implementation phase (Bet B), or did they leave after reaching steady-state due to technological ceilings (Bet A)?
2. Assess Real Robotics Demand vs. Narrative: Are customers actively deploying autonomous mobile robots (AMRs) and pick-assist hardware, or is "missing robotics" a convenient, forward-looking justification for leaving an underperforming platform?
3. Quantify the Cost of Onboarding Drag: Does exceeding the 45-day SLA directly burn operational credibility and destroy ROI, or is delay merely a symptom of customer-side disorganization?
4. Identify False Dichotomies (Bet Neither): Determine whether churn is driven by factors neither bet solves—such as baseline software unreliability, missing core 3PL billing/EDI features, or macro 3PL volume contraction.

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3. Interviewer Guidance & Rules of Engagement

• Recording Consent (Mandatory): State verbatim: "Before we begin, do you mind if I record this session purely for internal note-taking? None of this will be shared externally." If declined, proceed with manual notes.
• The "No Roadmap, No Pricing" Wall: Customers will attempt to trade feedback for commitments. If asked about features or discounting, respond: "I'm on the product research side and have no visibility into commercials or delivery timelines. My sole focus today is understanding how your operations actually run."
• Past Behavior Over Speculation: Never ask: "Would you use a robotics integration?" (Answer is always yes). Always ask: "What automation equipment do you have physically deployed on the floor today, and how does your team interact with it?"
• Root-Cause Probing (The "Five Whys"): When a customer says "missing integrations," do not accept the label. Ask: "What specific warehouse task were you trying to execute that stalled? What was the manual workaround?"

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4. Interview Scripts & Timings (45 Minutes Each)

Track 1: VP of Operations / COO (Economic Buyer)

#### Part 1: Context & Operational Profile (7 mins) * How has your facility footprint and throughput profile shifted over the last 18 months? * When you initially signed with Crate, what core business metric were you held accountable for improving?

#### Part 2: Implementation & Time-to-Value (12 mins) * Walk me back to your onboarding. What was the internal sentiment between signing the contract and processing your first live pallet? * Our contract targets a 45-day go-live; our median across customers is closer to 90. Where did the process stall, and what internal operational cost did that delay create? * At what point did your leadership team feel Crate was fully operational? Did you ever reach that state?

#### Part 3: Strategic Priorities, Automation, & Feature Gaps (16 mins) * Over the past year, what capital investments have you made on your warehouse floor (e.g., conveyor belts, automated guided vehicles, pick-assist carts, manual racking)? * If automation is present: Who manufactures it, what software controls it today, and what specific data must pass between it and your WMS? * If automation is absent: What is on your signed capital expenditure plan for the next 12 months? * When you evaluated the market (or competitors), what specific capability made it clear Crate was no longer the right long-term partner? * Think back to the moment you realized this contract wouldn't renew. When did that conversation happen, and who initiated it?

#### Part 4: Decision Trace & Wrap-up (10 mins) * If Crate had delivered on every promise made during the sales cycle within 45 days, would you still be with us today? Why or why not? * What is the single biggest operational bottleneck your business faces this quarter?

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Track 2: Warehouse Operations Manager (Daily User)

#### Part 1: Floor Reality & Daily Routine (8 mins) * Walk me through the first two hours of your shift on the floor. Where do supervisors and pickers spend the majority of their time inside Crate? * What daily tasks force your team to leave Crate and use spreadsheets, paper, or secondary systems?

#### Part 2: Go-Live Experience & Transition (12 mins) * How disruptive was the transition to Crate for your floor staff? How long did it take for pick/pack rates to recover to baseline? * During the first three months, how often did you have to escalate systemic issues to leadership? What were those issues? * Did you feel the system was configured correctly for your physical warehouse layout, or did you have to mold your workflows to fit the software?

#### Part 3: Floor Automation & Daily Bottlenecks (15 mins) * How do orders physically move through your facility today? * If pickers are assisted by any mechanical or automated equipment, where does software failure slow them down? * Have you piloted or evaluated autonomous carts or robotics on your floor? * If yes: What was the hardest operational part of that pilot? * If no: What prevents you from automating (e.g., client SKU variability, facility constraints, budget)? * If you could fix one workflow in Crate that causes your floor workers the most frustration, what would it be?

#### Part 4: The Tipping Point (10 mins) * When did your team start discussing alternative systems or workarounds? Was there a specific breaking point or system failure? * If you had a magic wand to improve your team’s pick/pack speed by 20%, what would you change about your physical setup or your software?

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5. Decision Rubric: What We Need to Hear

At the end of Week 3, interview findings will be mapped against this falsification framework:

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6. Next Steps

1. Day 1-2: Approve adjusted account roster (3 non-renewing at-risk, 3 churned). CS to send intro emails.
2. Day 3-17: Conduct 12 recorded interviews. Maintain a shared executive synthesis doc updated within 24 hours of each call.
3. Day 21: Final Decision Meeting. Present thematic evidence and allocation recommendation to Ana and Marcus.

Customer Research Guide: H2 Strategic Bets (Robotics vs. Implementation)

To: Executive Team From: Staff Product Manager, Crate Date: Today Subject: 3-Week Customer Research Plan for H2 Resource Allocation (12 Calls)

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Executive Summary & Plan Adjustments

In four weeks, the executive team will decide where to allocate both engineering squads for the next half. Ana believes we are losing customers because we lack warehouse robotics integrations (Bet A). Marcus believes we are losing them because our implementation cycle is broken and slow (Bet B).

The exit survey heavily favors Ana’s view (46% cite missing features/integrations), but UX research 101 teaches us that exit surveys are structurally flawed. Listing "missing features" first creates primacy bias, and the survey failed to capture temporal dynamics—specifically, when the decision to leave was made. Meanwhile, our internal data tells a damning story: our median time to go-live is 94 days (vs. 45 promised), and customers crossing 90 days churn at $2.4\times$ the rate.

We have 3 weeks to conduct 12 interviews (45 minutes each) to uncover the truth.

Critical Plan Adjustments (Read Before We Start)

1. Split the Interviewees by Persona, Not Account: The original plan called for interviewing both the Ops Manager and the VP/COO on the same accounts. In 45 minutes, splitting time between a daily user and a high-level signer dilutes the insight. Instead, we will interview Warehouse Ops Managers to understand day-to-day friction (Implementation, UI, operational bottlenecks) and VPs of Ops / COOs to understand strategic drivers (ROI, contract expectations, robotics, and when the churn decision was actually made).
2. Revise Ana’s Participation: Ana wants to run 4 calls with former customers she knows personally. We must advise against this. Founder-led interviews with churned customers carry massive politeness bias; customers will pull punches about implementation failures or invent reasons to let Ana down gently. Ana should observe these calls anonymously or listen to the recordings, but an unbiased PM or User Researcher must conduct them.
3. Guardrails for At-Risk Accounts: Five of our six at-risk accounts are in active renewal talks with CS discounts on the table. Interviewers are strictly prohibited from discussing pricing, commercial concessions, or our product roadmap. We are strictly here to diagnose reality.

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Learning Goals

1. The Churn Timeline: Determine the exact month the customer mentally decided to leave. Did they decide during a painful 90+ day onboarding (supporting Bet B), or later when evaluating modernizing warehouse automation (supporting Bet A)?
2. The "Missing Features" Audit: Deconstruct the 46% exit survey metric. When respondents checked "missing features/integrations," were they missing critical WMS functionality (e.g., wave planning, inventory accuracy) or specifically robotics middleware?
3. Implementation Reality Check: Measure the operational impact of our 94-day median go-live time. Did the delay create cash-flow/trust erosion that doomed the account before day one, regardless of subsequent features?
4. Robotics Urgency: For customers who mention robotics, are they actively deploying autonomous carts today, or is it a 3-year roadmap item they use as a stick to beat us with during negotiations?

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Interview Guide: Two Personas

Persona 1: The Daily User (Warehouse Operations Manager)

Focus: Implementation friction, daily utility, operational roadblocks.

• 00:00–03:00 | Intro & Permission:
• "Thanks for taking the time. I’m [Name] from Crate. We’re doing research to figure out where we failed our customers and how we can improve. I am strictly here to learn about your experience—we won't be talking about pricing, renewals, or selling you anything today. Do I have your permission to record this call for internal notes?"
• 03:00–12:00 | Day-to-Day Workflow & Reality:
• "Take me back to your first 30 days using Crate. What did the day-to-day onboarding look like?"
• "How long did it actually take for your floor team to feel comfortable using Crate without holding their breath?"
• "What was the most painful workaround your team had to invent during your first three months?"
• 12:00–25:00 | The Implementation Experience (Bet B Probe):
• "Our data shows it takes about 90+ days for most warehouses to go live on Crate. What was your experience? How did those delays affect your team's stress levels and your relationship with our implementation team?"
• "Looking back, did the slow start permanently damage your trust in the software, or did you bounce back once things were running?"
• 25:00–35:00 | Equipment & Floor Integration (Bet A Probe):
• "What automated hardware or mobile carts are running on your floor today? How do they talk to Crate, or do they?"
• "When a pick-assist cart or AGV moves through your warehouse, where does the process break down between the robot and Crate?"
• 35:00–42:00 | The Breaking Point:
• "Think about the moment you realized you wanted to leave Crate (or started looking at alternatives). What happened on the warehouse floor that week?"
• 42:00–45:00 | Wrap-Up:
• "If you could wave a magic wand and change one thing about your onboarding or your day-one experience with Crate, what would it be?"

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Persona 2: The Decision Maker (VP of Operations / COO)

Focus: Strategic expectations, ROI timelines, contract promises, and robotics strategy.

• 00:00–03:00 | Intro & Permission:
• "Thanks for joining. I’m [Name] from Crate. We’re reviewing why customers leave us to make radical changes to our roadmap and processes. I'm not here to pitch you or talk commercial terms—just to understand your true experience. May I record this call for note-taking purposes?"
• 03:00–10:00 | The Purchase & Promise:
• "When you signed with Crate, what was the primary business problem you needed solved in your first 6 months?"
• "What timeline were you given for go-live during the sales cycle, and how did reality compare?"
• 10:00–22:00 | Implementation & Time-to-Value (Bet B Probe):
• "For a mid-size 3PL, cash flow and client onboarding speed are everything. How did Crate's onboarding timeline impact your ability to onboard your own end-clients?"
• "At what point in your first year did you officially consider the implementation 'failed' or deeply troubled?"
• 22:00–34:00 | The Robotics Mandate (Bet A Probe):
• "Let’s talk about warehouse automation. How central are autonomous carts or robotics to your strategy today versus three years from now? Are you actively running them?"
• "When you evaluated staying vs. leaving Crate, how heavy was the absence of robotics integrations in that final calculus? Was it the straw that broke the camel's back, or a nice-to-have?"
• 34:00–42:00 | Uncovering the Timeline:
• "Looking back at the lifecycle of your account, when did you mentally check out and decide you wouldn't renew? Was it during implementation, or months later?"
• 42:00–45:00 | Wrap-Up:
• "If Crate could fix only one thing—either our onboarding speed or our hardware/robotics connectivity—which one would have saved your account?"

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Decision Criteria: What We Need to Hear

To make our final recommendation to Ana and Marcus, we will evaluate the 12 calls against the following thresholds:

Backing Bet A (Robotics Integrations)

We back Bet A only if: 1. VPs/COOs explicitly state that the lack of robotics was the primary, active catalyst for churning (not just a grievance listed in a post-hoc survey). 2. Churned customers are actively utilizing or piloting autonomous hardware today that could not function with Crate, resulting in operational deadlocks. 3. The exit survey's 46% "missing features" bucket is proven via interviews to be overwhelmingly about hardware/robotics connectivity rather than core WMS gaps (e.g., billing, inventory tracking).

Backing Bet B (Implementation Rebuild)

We back Bet B only if: 1. Interviews reveal that the 90+ day onboarding process created an insurmountable trust deficit; customers felt abandoned and never recovered faith in the product, rendering subsequent features irrelevant. 2. Daily users report that the complexity of setup and configuration was the primary driver of operational frustration, overshadowing missing integrations. 3. Churned customers admit they mentally checked out during or immediately after the botched implementation window, long before robotics ever entered the conversation.

Backing Neither (The Pivot Option)

We back Neither if: * The qualitative data shows a split narrative where both bets are symptoms of a deeper root cause—such as core WMS unreliability, pricing/value misalignment (17% in exit survey), or poor account management—meaning that building robots or speeding up a broken implementation will simply churn customers faster down a different path.

Crate customer research guide: why are warehouses leaving?

Purpose: In three weeks, learn whether churn is more plausibly driven by missing robotics integrations (Bet A), slow implementation (Bet B), or something else. These calls are for understanding customers’ experiences—not selling, negotiating renewals, or validating either executive’s theory.

Learning goals

For each account, establish:

• What happened, and when? Separate implementation, go-live, first value, automation needs, and the point when leaving became likely or decided.
• What mattered most? Distinguish a decisive problem from a feature request, contributing frustration, or reason offered after the fact.
• What evidence supports the explanation? Look for actual workflow impact, workarounds, alternatives evaluated, and actions taken—not just opinions or hypotheticals.
• What might change the outcome? Explore credible counterfactuals without promising anything.
• What else explains churn? Surface causes beyond A and B.

Recommended plan changes

The proposed 12 calls cannot cover both the daily user and contract signer on all 12 accounts: that would require 24 interviews. Keep the 12-call cap, but interview two roles separately at each of six accounts: three churned accounts and three red-health accounts, with one warehouse operations manager and one VP of Operations/COO per account. This gives paired perspectives and preserves both customer situations, but is a small, directional sample—not a prevalence estimate. Select accounts for varied implementation times and automation situations where possible; don’t choose only accounts with known robotics issues.

Do not have Ana conduct four calls with former customers she knows personally. Her involvement risks courtesy bias and leading the conversation. Use an independent interviewer; ideally don’t include personal contacts in this small core sample. If one is included, disclose the relationship, and have Ana neither attend nor receive attributable notes.

Because five at-risk accounts are in renewal talks and receiving discount offers, use an interviewer outside the account/renewal team. Tell participants their answers won’t affect service or renewal discussions. Don’t share interview content with the account team in a way that could be used in negotiation. Follow Legal’s recording requirement below.

45-minute guide: churned customers

45-minute guide: red-health customers

Use the same opening and close. Do not imply that Crate can fix an issue or influence renewal terms.

Guidance for interviewers

• Ask the questions as written, but follow the participant’s timeline. Use neutral probes: “What happened next?” “Can you give me an example?” “How do you know?”
• Don’t offer Ana’s or Marcus’s theories, mention the exit-survey results, or ask leading questions such as “Would robots have saved you?” Ask about events before asking for interpretations.
• Separate when an issue occurred from when the participant says it mattered. Probe for specific actions and evidence: evaluations, workarounds, escalations, or a switch decision.
• Don’t discuss pricing, discounts, renewal negotiations, or roadmap. If asked about roadmap, say you can’t speak to future plans. Don’t make promises or relay an interview answer as a renewal signal.
• Interview roles separately. Record role and account context in notes, but distinguish direct experience from second-hand views. Afterward, write a short timeline, leading cause(s), evidence, and uncertainties for each account.
• Treat recordings and notes as confidential; use only with consent and Legal-approved handling. Don’t present anecdotes as representative of all customers.

What would support each bet?

Support Bet A (robotics integrations): In multiple independent accounts, a specific robotics workflow or integration gap caused meaningful operational friction, and that issue arose before the decision to leave or seriously consider leaving. Stronger evidence: an actual robot deployment or concrete plan, a costly workaround, and a competitor selected or evaluated for this capability. A feature mention alone—or robotics cited in a new-logo deal—doesn’t establish that it drove existing-customer churn.

Support Bet B (faster implementation): In multiple accounts, implementation delays or effort materially postponed go-live or first value, caused operational consequences, and preceded the decision to leave or consider leaving. Stronger evidence: specific preventable blockers, an unmet expectation, and a credible account that earlier go-live would have changed the outcome. The 94-day median, 45-day promise, and 2.4× association make this worth testing, but do not prove causation.

Support neither / remain uncertain: The call evidence points more strongly to another cause; A or B appears only after the decision; accounts describe issues without meaningful consequences; or evidence is mixed and no cause consistently precedes churn. Don’t force a winner from 12 interviews. Compare patterns across accounts, not individual interview counts, and triangulate with CRM timelines and other churn evidence. The exit survey’s single-choice format, first-listed feature option, and sparse free text limit what it can establish.