--- name: solo-metrics-track-aee2a902d513 description: Set up PostHog metrics plan with event funnel, KPI benchmarks, and kill/iterate/scale decision thresholds. Use when user says "set up metrics", "track KPIs", "PostHog events", "funnel analysis", "when to kill or scale", or "success metrics". Do NOT use for SEO metrics (use /seo-audit). license: MIT metadata: author: fortunto2 version: "1.1.1" openclaw: emoji: "📈" allowed-tools: Read, Grep, Glob, Write, AskUserQuestion, mcp__solograph__kb_search argument-hint: "" --- # /metrics-track Set up a metrics tracking plan for a project. Defines PostHog event funnel, KPI benchmarks, and kill/iterate/scale decision thresholds based on lean startup principles. ## MCP Tools (use if available) - `kb_search(query)` — find PostHog methodology, analytics patterns If MCP tools are not available, fall back to Grep + Read. ## Methodology Reference This skill implements metrics tracking based on lean startup principles: - **Relative metrics vs niche benchmarks** — compare against your own trajectory, not vanity averages - **Kill/iterate/scale decision rules** — data-driven thresholds for product decisions (see step 7 below) ## Steps 1. **Parse project** from `$ARGUMENTS`. - Read PRD for features, ICP, monetization model. - Read CLAUDE.md for stack (iOS/Web/both). - If empty: ask via AskUserQuestion. 2. **Detect platform:** - iOS app → PostHog iOS SDK events - Web app → PostHog JS SDK events - Both → cross-platform identity (shared user ID across platforms) 3. **Load PostHog methodology:** - If MCP available: `kb_search("PostHog analytics events funnel identity")` - Otherwise: check project docs for existing analytics configuration - Extract: event naming conventions, identity resolution, funnel pattern 4. **Define event funnel** based on PRD features: Standard funnel stages (adapt per product): ``` Awareness → Acquisition → Activation → Revenue → Retention → Referral ``` Map to concrete events: | Stage | Event Name | Trigger | Properties | |-------|-----------|---------|------------| | Awareness | `page_viewed` | Landing page visit | `source`, `utm_*` | | Acquisition | `app_installed` or `signed_up` | First install/signup | `platform`, `source` | | Activation | `core_action_completed` | First key action | `feature`, `duration_ms` | | Revenue | `purchase_completed` | First payment | `plan`, `amount`, `currency` | | Retention | `session_started` | Return visit (D1/D7/D30) | `session_number`, `days_since_install` | | Referral | `invite_sent` | Shared or referred | `channel`, `referral_code` | 5. **Forced reasoning — metrics selection:** Before defining KPIs, write out: - **North Star Metric:** The ONE number that matters most (e.g., "weekly active users who completed core action") - **Leading indicators:** What predicts the North Star? (e.g., "activation rate D1") - **Lagging indicators:** What confirms success? (e.g., "MRR", "retention D30") - **Vanity metrics to AVOID:** (e.g., total downloads without activation) 6. **Set KPI benchmarks** per stage: | KPI | Target | Kill Threshold | Scale Threshold | Source | |-----|--------|---------------|-----------------|--------| | Landing → Signup | 3-5% | < 1% | > 8% | Industry avg | | Signup → Activation | 20-40% | < 10% | > 50% | Product benchmark | | D1 Retention | 25-40% | < 15% | > 50% | Mobile avg | | D7 Retention | 10-20% | < 5% | > 25% | Mobile avg | | D30 Retention | 5-10% | < 2% | > 15% | Mobile avg | | Trial → Paid | 2-5% | < 1% | > 8% | SaaS avg | Adjust based on product type (B2C vs B2B, free vs paid, mobile vs web). 7. **Define decision rules** (lean startup kill/iterate/scale): ```markdown ## Decision Framework **Review cadence:** Weekly (Fridays) ### KILL signals (any 2 = kill) - [ ] Activation rate < {kill_threshold} after 2 weeks - [ ] D7 retention < {kill_threshold} after 1 month - [ ] Zero organic signups after 2 weeks of distribution - [ ] CAC > 3x LTV estimate ### ITERATE signals - [ ] Metrics between kill and scale thresholds - [ ] Qualitative feedback suggests product-market fit issues - [ ] One stage of funnel is dramatically worse than others ### SCALE signals (all 3 = scale) - [ ] Activation rate > {scale_threshold} - [ ] D7 retention > {scale_threshold} - [ ] Organic growth > 10% week-over-week ``` 8. **Generate PostHog implementation snippets:** ### For iOS (Swift): ```swift // Event tracking examples PostHogSDK.shared.capture("core_action_completed", properties: [ "feature": "scan_receipt", "duration_ms": elapsed ]) ``` ### For Web (TypeScript): ```typescript // Event tracking examples posthog.capture('signed_up', { source: searchParams.get('utm_source') ?? 'direct', plan: 'free' }) ``` 9. **Write metrics plan** to `docs/metrics-plan.md`: ```markdown # Metrics Plan: {Project Name} **Generated:** {YYYY-MM-DD} **Platform:** {iOS / Web / Both} **North Star:** {north star metric} ## Event Funnel | Stage | Event | Properties | |-------|-------|------------| {event table from step 4} ## KPIs & Thresholds | KPI | Target | Kill | Scale | |-----|--------|------|-------| {benchmark table from step 6} ## Decision Rules {framework from step 7} ## Implementation ### PostHog Setup - Project: {project name} (EU region) - SDK: {posthog-ios / posthog-js} - Identity: {anonymous → identified on signup} ### Code Snippets {snippets from step 8} ## Dashboard Template - Funnel: {stage1} → {stage2} → ... → {stageN} - Retention: D1 / D7 / D30 cohort chart - Revenue: MRR trend + trial conversion --- *Generated by /metrics-track. Implement events, then review weekly.* ``` 10. **Output summary** — North Star metric, key thresholds, first event to implement. ## Notes - PostHog EU hosting for privacy compliance - Use `$set` for user properties, `capture` for events - Identity: start anonymous, `identify()` on signup with user ID - Cross-platform: same PostHog project, same user ID → unified journey - Review dashboard weekly, make kill/iterate/scale decision monthly ## Common Issues ### Wrong platform detected **Cause:** Project has both web and iOS indicators. **Fix:** Skill checks package manifests. If both exist, it generates cross-platform identity setup. Verify the detected platform in the output. ### KPI thresholds too aggressive **Cause:** Default thresholds are industry averages. **Fix:** Adjust thresholds in `docs/metrics-plan.md` based on your niche. B2B typically has lower volume but higher conversion. ### PostHog SDK not in project **Cause:** Metrics plan generated but SDK not installed. **Fix:** This skill generates the PLAN only. Install PostHog SDK separately: `pnpm add posthog-js` (web) or add `posthog-ios` via SPM (iOS). --- Source attribution: fortunto2 Original project: https://github.com/meghal86/stacksignal/blob/54afe4b75ed2eb8f0feabb2f5b57dfa4bcbb3c44/.agents/skills/solo-metrics-track/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: fortunto2 Original project: https://github.com/meghal86/stacksignal/blob/54afe4b75ed2eb8f0feabb2f5b57dfa4bcbb3c44/.agents/skills/solo-metrics-track/SKILL.md Attribution basis: Source repository record Fields of work: Marketing, Data & Analytics, Product Management Roles: Growth Marketer, Marketing Analyst, Product Marketer, Data Analyst, Product Manager Specialties: API Tools: Posthog Country applicability: Country not specified Classification basis: Source category, role and specialization labels Instruction SHA-256: fdae5eda8d830714dde7d4e9305cf3b09b62428aab73379b1ccd2bba7ab7beea