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win-loss-analysis

Analyze why deals are won and lost and turn it into an action plan. Use when asked to run a win/loss analysis, review closed-won and closed-lost dea…

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技能内容

Win/Loss Analysis Skill

Turn raw deal outcomes and buyer feedback into a clear picture of why you win and lose — and what to do about it. The output should let a product marketer or revenue leader act on patterns, not anecdotes.

What This Skill Produces

  • A win/loss report with the top reasons deals were won and lost, ranked by frequency and deal value
  • Win/loss rates cut by segment, deal size, competitor, and source where the data allows
  • Representative buyer quotes that make each theme concrete
  • A prioritized action list mapped to product, marketing, sales, and pricing owners

Required Inputs

Ask for these if not provided:

  • Deal data — a list of closed-won and closed-lost deals, ideally with amount, segment, competitor, and stage lost
  • Feedback source — win/loss interview notes, CRM closed_lost_reason fields, survey responses, or call transcripts
  • Time window and any segmentation you care about (segment, region, product line)
  • Primary competitors to track explicitly
  • The decision this feeds — a QBR, a roadmap review, a messaging refresh, an enablement push

If the data is thin, say so and analyze what exists rather than inventing outcomes.

Process

  1. Normalize the reasons — collapse free-text loss reasons into a consistent taxonomy (price, product gap, timing/no-decision, competitor, champion left, poor fit, etc.).
  2. Quantify — count wins and losses per reason; weight by deal value; compute win rate overall and by cut.
  3. Separate controllable from structural — a missing feature is controllable; a genuine no-budget is not. Focus action on the controllable.
  4. Pull evidence — attach 1–2 real quotes per major theme. Never fabricate quotes; mark [quote to add] if none is available.
  5. Isolate competitor dynamics — where you lose to each competitor and on what basis.
  6. Recommend actions — for each top theme, the single highest-leverage move and who owns it.

Output Format


Win/Loss Analysis — [Period]

Scope: [N won · N lost · total value] · Segments: [list] · Source: [interviews / CRM / survey]

Headline

[2–3 sentences: overall win rate, the biggest swing factor, and the one thing to fix first.]

Why We Win (ranked)

| # | Reason | % of wins | Notable in |

|---|---|---|---|

| 1 | [Reason] | [%] | [segment/competitor] |

Evidence: "[buyer quote]"

Why We Lose (ranked)

| # | Reason | % of losses | Controllable? | Est. value at stake |

|---|---|---|---|---|

| 1 | [Reason] | [%] | Yes/No/Partly | [$] |

Evidence: "[buyer quote]"

Win Rate by Cut

| Cut | Win rate | Read |

|---|---|---|

| [Segment / competitor / deal size] | [%] | [what it means] |

Competitive Read

  • vs [Competitor]: [where and why we win/lose, and the counter]

Actions

| Theme | Recommended action | Owner | Effort | Expected impact |

|---|---|---|---|---|

| [Theme] | [Specific move] | [Product/PMM/Sales] | S/M/L | [win-rate or deal-value effect] |


Deeper Materials

  • [references/buyer-interview-craft.md](references/buyer-interview-craft.md) — the interview craft that defeats buyer politeness — who calls, when, and the questions that get truth

Quality Checks

  • [ ] Every reason is backed by counts, not vibes
  • [ ] Losses are split into controllable vs structural
  • [ ] Each major theme has a real quote or an explicit [quote to add]
  • [ ] Actions name an owner and the highest-leverage single move
  • [ ] Competitor findings are specific enough to change a battlecard

Anti-Patterns

  • [ ] Do not treat "price" as a root cause without checking whether it's really value perception
  • [ ] Do not average away segment differences — a 60% overall win rate can hide a 20% enterprise rate
  • [ ] Do not fabricate buyer quotes or inflate sample size; state the n
  • [ ] Do not list 15 actions — rank ruthlessly and name the top few
  • [ ] Do not blame sales or product reflexively; let the data assign the theme

Example Trigger Phrases

  • "Run a win/loss analysis on last quarter's closed deals"
  • "Why are we losing enterprise deals to [Competitor]?"
  • "Summarize these win/loss interviews into themes and actions"
  • "Turn our CRM closed-lost reasons into a report for the QBR"

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同名技能的其他版本

有 3 个不同仓库或目录里都有叫 win-loss-analysis 的技能。它们内容并不相同,别混用: