startup-metrics-framework
Analyze Startup Metrics and Unit Economics
Startup teams need clear metrics to judge growth, retention, and cash efficiency. This skill maps formulas, benchmarks, and reporting guidance to each startup model and stage.
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Review the Skillstore skill "startup-metrics-framework" from https://skillstore.io/skills/wshobson-startup-metrics-framework.md and its manifest at https://skillstore.io/api/skills/wshobson-startup-metrics-framework/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
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Test it
Using "startup-metrics-framework". Seed B2B SaaS company with $80,000 MRR, 14 percent monthly growth, CAC of $1,500, and 14-month payback.
Expected outcome:
- Track MRR growth, CAC payback, gross retention, burn multiple, runway, and pipeline coverage.
- The payback period is acceptable for seed stage. Validate retention before increasing sales spend.
Using "startup-metrics-framework". Marketplace team wants to know whether supply and demand are balanced.
Expected outcome:
- Review GMV growth, take rate, fill rate, time to transaction, repeat rate, and supply-demand ratio.
- Low fill rate with growing demand suggests a supply constraint. Low repeat rate suggests weak customer value.
Using "startup-metrics-framework". Founder preparing a monthly investor update after reaching $3 million ARR.
Expected outcome:
- Show ARR, monthly growth, NDR, CAC, LTV:CAC, burn, runway, and burn multiple with trend context.
- Add one short explanation for each metric that is below the relevant benchmark.
Security Audit
SafeStatic analysis flagged Markdown backticks in SKILL.md as potential shell execution, but they are formula fences and inline file path formatting. The network reconnaissance warning is also a false positive on the NDR retention benchmark, and no prompt injection or malicious intent was found.
Risk Factors
⚙️ External commands (61)
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APA citation
wshobson. (2026). startup-metrics-framework security audit report (audit version 4) [Author version 1.0.0]. Skillstore. https://skillstore.io/skills/wshobson-startup-metrics-framework/audits/4BibTeX citation
@techreport{wshobson-wshobson-startup-metrics-framework-2026,
author = {wshobson},
title = {startup-metrics-framework security audit report (audit version 4)},
institution = {Skillstore},
year = {2026},
number = {4},
url = {https://skillstore.io/skills/wshobson-startup-metrics-framework/audits/4},
note = {Author version 1.0.0}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "startup-metrics-framework security audit report (audit version 4)"
version: "1.0.0"
type: report
authors:
- name: "wshobson"
date-released: "2026-07-08"
url: "https://skillstore.io/skills/wshobson-startup-metrics-framework/audits/4"
identifiers:
- type: other
value: "skillstore:wshobson-startup-metrics-framework:audit:4"
description: "Skillstore immutable audit report identifier"
Compare variants
2 installable variantsEach author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
sickn33-startup-metrics-framework
2026-08-21
wshobson-startup-metrics-framework
2026-08-21
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Define Seed Metrics
Choose the five to seven metrics that best show growth, retention, unit economics, and runway before a seed raise.
Improve SaaS Efficiency
Review CAC, LTV, payback, NDR, magic number, and burn multiple before increasing sales and marketing spend.
Prepare Investor Reporting
Create a concise investor metric snapshot with current values, trends, benchmarks, and operational interpretation.
Try These Prompts
My startup is [stage] and uses a [business model]. Recommend five core metrics to track weekly and explain why each matters.
Use these values to calculate CAC, LTV, LTV:CAC, and payback. Values: [paste data]. Explain what the results mean.
Review these startup metrics: [paste metrics]. Identify the strongest signals, weak signals, and three actions for the next quarter.
Create a Series A investor metrics narrative from these metrics: [paste data]. Include benchmarks, risks, and questions investors may ask.
Best Practices
- Track a small set of core metrics consistently before adding secondary dashboard views.
- Segment metrics by customer type, channel, cohort, and product line when decisions depend on those differences.
- Pair every metric with a benchmark, trend direction, and clear operating action.
Avoid
- Do not optimize vanity metrics such as total users without retention or activation context.
- Do not compare metrics across business models without adjusting formulas and benchmarks.
- Do not scale sales and marketing spend before CAC payback, retention, and runway are understood.