Install
$ agentstack add skill-matteotitta-genesys-skills-win-loss ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Win/loss analysis
Analyze sales call transcripts to extract actionable insights on why deals are won, lost, retained, or churned. Cross-reference findings with ICP, firmographics, and competitive context to produce strategic recommendations.
Knowledge type: win-loss-analysis Maturity on first run: emergent → validated after team review
Claude Code triggers
Invoke when user says:
- "Win/loss analysis"
- "Analyze sales calls"
- "Why did we win/lose"
- "Churn analysis"
- "Retention analysis"
- "Sales call insights"
- "Deal outcome patterns"
- "Customer feedback synthesis"
- "Analyze these transcripts"
- "What patterns in our sales calls"
Do NOT invoke when:
- User wants general transcript analysis → use a generic transcript skill
- User wants competitor research → use
competitor-research - User wants a single customer interview write-up → use a transcript skill
- User wants sales enablement assets → use a sales-enablement skill
Input requirements
Required
| Input | Description | Source | |-------|-------------|--------| | Transcripts | Sales call transcripts with customer name and outcome | User provides | | Outcome | Win/Loss/Retention/Churn for each call | User specifies or infer |
Optional (improve quality)
| Input | How it helps | |-------|--------------| | Website URL per customer | Firmographics cross-reference | | Product/ICP document | Define in-scope product capabilities | | Market/GTM document | Positioning and competitive landscape | | Sales notes column | Additional context (stage, deal size) | | Competitor names | Pre-identify competitors to watch for |
Validation
Before proceeding: at least one transcript provided; outcome known or inferable from transcript; customer name identifiable.
If inputs are missing: ask the user for transcripts. Clarify if outcome should be inferred from transcript signals.
Transcript intake — normalize, redact, bind to evidence
Transcripts arrive in many shapes (Gong, Fireflies, Otter, Grain, Zoom/Avoma VTT, SRT, recorder JSON, or plain pasted text). Before Phase 1, normalize whatever you're handed into one shape — speaker-attributed turns with timestamps where present. Two rules apply to every transcript before analysis:
- Redact PII first. Mask end-client names, emails, and account numbers before processing; keep roles, company, and deal context. (Load-bearing for regulated industries.)
- Bind every claim to evidence. Every extracted pattern cites a verbatim quote plus the speaker; normalized, speaker-attributed turns make that attribution reliable.
Process
The analysis runs in 3 phases. Read [references/process.md](./references/process.md) for the full step-by-step (4 transcript-processing steps, 4 aggregation steps, 4 synthesis steps, plus per-phase checkpoints and the process flowchart).
Phase summary:
- Transcript processing — classify outcome, identify speakers, extract customer context, pull verbatim quotes for the 6 dimensions
- Pattern aggregation — group by outcome, count frequency, rank patterns (3+ mentions), cross-reference by ICP/competitor/persona
- Insight synthesis — state pattern, provide evidence with frequency + confidence, identify opportunity, generate executive summary
Core frameworks
Analysis modes
| Mode | When to use | Output | |------|-------------|--------| | Single call | Deep analysis of one transcript | Full insight extraction per dimension | | Batch analysis | Multiple transcripts (3-20 calls) | Aggregated patterns with frequency counts | | Comparison matrix | Win vs. loss OR retention vs. churn | Side-by-side pattern comparison |
Default to batch analysis mode when multiple transcripts are provided.
6 analysis dimensions
| # | Dimension | Win signals | Loss signals | |---|-----------|-------------|--------------| | 1 | Product | "Exactly what we need," feature praised | "Missing [feature]," "Doesn't do [X]" | | 2 | Messaging | "Now I understand why this matters" | "What does it actually do?" | | 3 | GTM/Sales | "You really understand our problem" | "Demo didn't address our needs" | | 4 | Pricing | "Fair price," "good value" | "Too expensive," "over budget" | | 5 | Competition | "Chose you over [competitor]" | "Going with [competitor]" | | 6 | Customer context | "Need this now," deadline-driven | "No rush," "maybe next year" |
Confidence scoring
| Level | Definition | When to apply | |-------|------------|---------------| | High | 3+ calls with consistent pattern | Clear recurring theme | | Medium | 2 calls or inferred from strong signals | Emerging pattern | | Low | Single mention or indirect reference | Possible outlier |
Outcome classification
| Outcome | Definition | Key signals | |---------|------------|-------------| | Win | Deal closed, contract signed | "We're moving forward," pricing confirmed | | Loss | Deal lost to competitor or no-decision | "Going with [competitor]," "Not right now" | | Retention | Existing customer renewing/expanding | Renewal discussion, expansion | | Churn | Existing customer leaving/reducing | Cancellation, "not getting value" |
Output
Produce a single win/loss report markdown file. Template + iteration prompts library: [references/output-format.md](./references/output-format.md).
Pre-delivery quality checklist + worked example + anti-examples: [references/quality.md](./references/quality.md).
Auto-update protocol (feedback signals, pattern detection, skill-update template): [references/auto-update.md](./references/auto-update.md).
Anti-hallucination guardrails
- Quote verbatim. All insights must trace to specific transcript quotes.
- Never invent patterns. If a pattern appears in only one call, label it "Single mention — pattern unconfirmed."
- State frequency. Always note how many calls support each finding (e.g., "4 of 7 calls").
- Acknowledge gaps. If a dimension has no data, mark "Not discussed in transcripts."
- Distinguish roles. Tag who said what — prospect vs. sales rep vs. champion.
Gotchas
- Correlation as causation. Reports "deals with longer sales cycles were lost" as if cycle length caused the loss → always distinguish patterns from causes. Use "associated with" not "caused by".
- Small sample bias. Draws conclusions from 2-3 deals instead of waiting for sufficient data → flag sample size prominently. Minimum 5 wins and 5 losses for reliable patterns.
- Missing verbatim quotes. Summarizes what buyers said instead of extracting exact quotes → verbatim quotes are the primary deliverable. Summaries are secondary.
- Single-dimension analysis. Only looks at win/loss by competitor, missing dimensions like deal size, ICP segment, or sales cycle stage → cross-tabulate across at least 3 dimensions.
- Conflates product feedback with sales insights. Mixes "they wanted feature X" with "they didn't trust our team" → separate product gaps from sales execution issues. They feed into different downstream work.
Integration with other skills
| Skill | Relationship | Usage | |-------|--------------|-------| | transcript analysis | Related | Use for general transcripts, not sales calls | | sales enablement | Downstream | Feed insights into battlecards and objection handlers | | product messaging | Downstream | Update messaging based on win patterns | | competitor research | Related | Cross-reference competitor mentions |
Reference files
| File | Purpose | |------|---------| | [references/process.md](./references/process.md) | Full 3-phase step-by-step + flowchart | | [references/output-format.md](./references/output-format.md) | Win/loss report template + iteration prompts | | [references/quality.md](./references/quality.md) | Pre-delivery checklist + worked example + anti-examples | | [references/auto-update.md](./references/auto-update.md) | Feedback signal detection + pattern rules | | [references/extraction-patterns.md](./references/extraction-patterns.md) | Signal patterns for each dimension | | [references/output-template.md](./references/output-template.md) | Legacy report template (kept for reference) | | [references/example-analysis.md](./references/example-analysis.md) | Worked example with 5 transcripts |
Data integration
Level: 0 — Context (heavy pulls)
If you run win/loss inside a connected environment, pull transcripts and deal context fresh:
| Source | What to pull | When | |--------|-------------|------| | Meeting recorder (Granola, Gong, Fireflies, etc.) | Sales call transcripts and deal discussions | Always | | Team chat (Slack, etc.) | Deal discussion threads and competitive intel | Always |
Fallback (no integrations): user-provided call transcripts or recordings; manual deal review notes.
Changelog
| Version | Date | Changes | |---------|------|---------| | 2.0 | 2026-01-16 | Refactored to v2.0 template: structured phases, evidence-ready insights, iteration prompts, auto-update rules | | 1.0 | Previous | Initial skill creation with 6 dimensions |
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: matteotitta
- Source: matteotitta/genesys-skills
- License: MIT
- Homepage: https://newsletter.genesysgrowth.com/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.