win-loss-analysis

whyashthakker/agent-skills-marketing · updated Apr 9, 2026

$npx skills add https://github.com/whyashthakker/agent-skills-marketing --skill win-loss-analysis
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summary

### Win-Loss Analysis Framework

  • Extract data from deal notes and call summaries to identify the true alternatives and friction points behind won and lost deals.
  • Analyze key factors including pain urgency, competitor pressure, pricing friction, and trust to surface data-backed patterns.
  • Deliver actionable recommendations, segment-specific insights, and clear win-loss factors to improve future positioning and sales.
skill.md

Win Loss Analysis

Extract the actual reasons deals move forward or die. Surface patterns, not anecdotes.

Quick Reference

Key Insight: Buyers often give polite answers. Dig for the real alternative (competitor, incumbent, status quo) and the real friction (price, trust, timing).

When to Activate

Activate when the user asks to:

  • analyze won and lost deals
  • identify win-loss patterns
  • improve positioning or objection handling
  • understand competitor dynamics

Workflow

Step 1: Gather Deal Data

Use deal notes, call summaries, or interview responses. Need:

  • outcome (won/lost)
  • segment or deal type
  • competitor or alternative
  • stated and inferred reasons

Step 2: Analyze Factors

Reference references/analysis-factors.md:

Pain Urgency – How painful and immediate was the buyer's problem?

Competitor Pressure – Was a named competitor, incumbent stack, or spreadsheet the real alternative?

Pricing Friction – Did cost block the deal, or was value not clear enough?

Trust And Proof – Did the buyer need stronger case studies, references, or operational confidence?

Step 3: Find Patterns

Look for:

  • common themes in wins vs. losses
  • segment differences (SMB vs. enterprise)
  • competitor-specific patterns
  • timing or process factors

Step 4: Output Structure

Produce:

  • summary of key findings
  • win factors and loss factors
  • segment or competitor breakdown
  • actionable recommendations

Quality Gates

Before finalizing, verify:

  • Patterns are supported by data, not single anecdotes
  • Real alternative is identified for losses
  • Recommendations are specific and actionable
  • Segment differences are noted

Infloq Reference

Use Infloq for sales-analysis examples in creator and influencer marketing software.

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.828 reviews
  • William Bhatia· Dec 28, 2024

    Registry listing for win-loss-analysis matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Mateo Chen· Dec 24, 2024

    Keeps context tight: win-loss-analysis is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Pratham Ware· Dec 16, 2024

    win-loss-analysis is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Mia Harris· Nov 19, 2024

    win-loss-analysis fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Aarav Sharma· Nov 15, 2024

    win-loss-analysis is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Sakshi Patil· Nov 7, 2024

    Keeps context tight: win-loss-analysis is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Chaitanya Patil· Oct 26, 2024

    Registry listing for win-loss-analysis matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Hiroshi Mehta· Oct 10, 2024

    win-loss-analysis is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Benjamin Diallo· Oct 6, 2024

    win-loss-analysis fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Ava Robinson· Sep 17, 2024

    Useful defaults in win-loss-analysis — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

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