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Win-Loss Interview (AI Voice Debrief)

A voice AI debrief for closed deals — won or lost. Buyers tell an AI interviewer things they'd never tell the salesperson: the real decision criteria, who else was in the running, where the pitch missed, and what nearly changed the outcome. Structured questions make results comparable across deals.

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Sample questions

A preview of what’s in the template. Every question is editable before you launch.

6 questions · ~10 min
Q01
Message

Thanks for making time — win or lose, your honest account of the evaluation helps us improve. This is an independent debrief: nothing you say goes back to any individual salesperson with your name on it. About 10 minutes.

Q02
Voice AI Interview

Win-loss debrief interview

Conduct a buyer win-loss debrief. Learn: (1) the trigger that started the evaluation and what would have happened if they'd done nothing; (2) the shortlist — which vendors, how each was found, and first impressions; (3)…

Q03
Multiple ChoiceRequired

What was the outcome of your evaluation?

  • We chose this product
  • We chose a competitor
  • We built something in-house
  • We decided to do nothing for now
Q04
RankingRequired

Rank what mattered most in the final decision.

  1. Product capabilities and fit
  2. Price and total cost
  3. Ease of implementation
  4. Sales experience and trust
  5. Security and compliance
  6. References and reputation
Drag to rank
Q05
Opinion ScaleRequired

How confident are you that the decision was the right one?

Scale: 1 – 7
Min:Not confident — could easily have gone the other wayMax:Completely confident
Q06
Message

Thank you! Your debrief joins an anonymized pattern analysis across deals — the fastest way for us to fix what actually loses evaluations.

What’s included

  • AI follow-ups

    Adaptive probes on open-ended answers that pull out detail a static form would miss.

  • Attention checks

    Built-in safeguards against rushed answers and low-quality respondents.

  • AI-drafted copy

    Wording, ordering, and branching written by the AI — tuned to your research goal.

  • Auto report

    Themes, quotes, and a plain-English summary write themselves once responses come in.

How it compares

We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.

Why this template

  • An independent AI interviewer hears what buyers won't tell the salesperson — including where the pitch missed and what nearly flipped the outcome
  • Covers the full debrief: trigger, shortlist, real versus official criteria, buying committee, sales experience, and pricing honesty
  • A structured criteria ranking makes results comparable across every closed deal, win or loss
  • Voice interviews take buyers 10 minutes — far cheaper than third-party win-loss consultants per deal

Klue

The 31 Best Win-Loss Questions You Should Be Asking

A comprehensive question bank organized across 10 buyer-journey stages (role, awareness, evaluation bias, requirements, consideration, buying committee, demo, product, price, sales process) with strong program-design guidance. Very thorough as a question source, but it is a human-interviewer script; the depth depends on the interviewer probing well.

What it does well

  • Questions mapped to 10 distinct buyer-journey stages for full-funnel coverage
  • Includes buying-committee and evaluation-bias questions that surface hidden decision dynamics
  • Program guidance: align internally first, keep evergreen core questions while evolving others quarterly
  • Frames questions around what each internal team will actually use, tying research to decisions

Where it falls short

  • It is a question list for a human interviewer, not an AI that conducts the buyer interview and adapts probes live
  • No voice-AI interviewer to run debrief calls at scale without a skilled analyst on every call
  • No auto-generated win-loss report; theming and synthesis remain manual
  • Relies on the interviewer to 'probe for deeper insights' rather than the tool enforcing depth

HubSpot

15 Questions to Ask in a Win-Loss Analysis to Help You Sell Better

A tight, practical set of 15 buyer questions covering decision factors, evaluation criteria, sales-team experience, product likes/dislikes, competitive differentiation, and open feedback, with guidance to keep interviews to 15-20 minutes and distribute findings cross-functionally. Strong starter script but static and human-run.

What it does well

  • Focused 15-question set that is easy for a non-specialist to run
  • Covers biggest decision factor, evaluation criteria, references, sales-team experience, roadmap concerns, and competitive comparison
  • Includes a high-signal 'one thing you'd advise us to change' improvement question
  • Practical guidance on interview length and sharing insights across departments

Where it falls short

  • Static question list with no adaptive follow-up when a buyer names a competitor or objection
  • No voice-AI interviewer; assumes a rep or analyst manually runs each call
  • No automated synthesis into win/loss themes or an executive-ready report
  • Objectivity guidance (use a neutral interviewer) is advice, not something the tool enforces

Satrix Solutions

The Ideal Sales Win-Loss Analysis Template

A methodology guide for structuring win-loss interviews: use an impartial third party, define deal-selection criteria, schedule 20-30 minute calls, record with permission, and work from a live topics document rather than a rigid questionnaire. Strong on process discipline but light on the actual question list and reads as a consulting-led, manual program.

What it does well

  • Emphasizes interviewer objectivity via an impartial third party to reduce bias
  • Concrete deal-selection criteria for which deals to interview (revenue threshold, competitive deals, expected losses)
  • Practical logistics: email to schedule 20-30 minute calls, record with permission
  • Advocates a fluid 'live document' of topics over a rigid questionnaire to keep conversations natural

Where it falls short

  • Positions win-loss as a human-consultant service; no AI interviewer to deliver that neutrality at scale or lower cost
  • No voice-AI capability to conduct the recorded debrief calls automatically
  • The 'strong listener who probes deeper' requirement is a person, not an automated adaptive-follow-up engine
  • Analysis/interpretation is deferred to later manual steps rather than an auto-generated report

SurveyMonkey

Win Loss Survey Template

A fielding-ready win-loss survey aimed at evaluating sales strategies and improving win rates. Solid for scaled, structured deal feedback, but it is a static form — buyers type what they're willing to volunteer, with nothing probing the story behind a lost deal.

What it does well

  • Ready-to-send template purpose-built for win-loss feedback
  • Backed by SurveyMonkey's benchmarks and analysis tooling
  • Quick to deploy across many closed deals at once

Where it falls short

  • Static question set — no adaptive follow-ups on why the decision really went the way it did
  • No voice-interview option for the richer debrief buyers give in conversation
  • No independent-interviewer framing; it reads as the vendor asking directly

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