PostHog Feature Adoption Intelligence

AI-powered weekly feature adoption analysis — adoption rates, usage frequency, retention, growth velocity, and power user ratios scored across 5 dimensions with adoption curve classification.

Analyzes PostHog feature usage weekly to compute per-feature Health Scores across 5 dimensions. Classifies features by adoption curve shape (S-curve, plateau, decline). Identifies underperforming features, power user patterns, and retention cliffs. Generates Notion weekly feature report and Slack product insights digest. 24-node n8n workflow with Monday scheduler. BQS 12/12 certified.

triggerSchedule01FetcherPostHog API02Assembler5 FHS Dims03AnalystAdoption Score04FormatterBrief + DigestNotionAdoption BriefSlackFHS Digest

Four Agents. Weekly Adoption Analysis. Feature Health Scoring.

The Fetcher

Step 1 — The Fetcher

Code-only

Queries PostHog API for feature flag usage, event data, and user properties across the configurable lookback window. Retrieves adoption rates, usage frequency, retention cohorts, and user segment breakdowns per feature.

The Assembler

Step 2 — The Assembler

Code-only

Computes five Feature Health Score (FHS) dimensions per feature: adoption rate (unique users / total active users), usage frequency (events per adopted user), retention (week-over-week retained users), growth velocity (new adopters trend), and power user ratio (top 10% usage share).

The Analyst

Step 3 — The Analyst

Tier 2 Classification

Scores each dimension 1-10, computes composite FHS, classifies each feature on the adoption curve: EARLY ADOPTER, GROWING, MATURE, DECLINING, or STALLED. Identifies features needing intervention and generates prioritized recommendations.

The Formatter

Step 4 — The Formatter

Tier 3 Creative

Generates a Notion feature adoption dashboard with per-feature health cards and adoption curve classification, plus a Slack digest with features needing attention and top recommendations.

What It Does NOT Do

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Does not modify feature flags in PostHog — this is a read-only analysis tool

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Does not replace PostHog dashboards — it provides weekly synthesized intelligence, not real-time metrics

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Does not work with non-PostHog analytics tools — this is PostHog-specific

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Does not A/B test features — it analyzes adoption patterns after launch

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Does not guarantee feature success — it identifies adoption patterns that teams must act on

The Complete Customer Success Bundle

6 files.

posthog_feature_adoption_intelligence_v1_0_0.json — Main workflow (24 nodes)
posthog_feature_adoption_intelligence_scheduler_v1_0_0.json — Scheduler workflow (3 nodes)
README.md — 10-minute setup guide
docs/TDD.md — Technical Design Document
system_prompts/analyst_system_prompt.md — Analyst prompt reference
system_prompts/formatter_system_prompt.md — Formatter prompt reference

Tested. Measured. Documented.

Weekly 5-dimension feature adoption analysis with adoption curve classification and dual-channel delivery (Notion feature dashboard + Slack digest with features needing attention).

PostHog Feature Adoption Intelligence v1.0.0──────────────────────────────────────────Nodes:        24 main + 3 scheduler (27 total)Agents:       4 (Fetcher, Assembler, Analyst, Formatter)LLM Calls:    2 per run (Analyst + Formatter)Model:        Sonnet 4.6 (SINGLE-MODEL)Trigger:      Schedule (weekly Monday 9:00 UTC) + WebhookPattern:      BATCH (weekly feature analysis)Tool A:       PostHog API — feature flags + eventsTool B:       Notion (httpHeaderAuth) — feature adoption dashboardTool C:       Slack (httpHeaderAuth) — digest with features needing attentionITP:          8/8 records, 14/14 milestonesBQS:          12/12 PASSCost:         $0.03–$0.10 per run

What You'll Need

Platform

n8n 2.7.5+

Est. Monthly API Cost

~$0.03-0.10 per weekly run + PostHog subscription.

Credentials Required

  • ▪Anthropic API
  • ▪PostHog API Key
  • ▪Slack (Bot Token, httpHeaderAuth Bearer)
  • ▪Notion (httpHeaderAuth Bearer)

Services

  • ▪PostHog account with feature flags or custom events
  • ▪Anthropic API key
  • ▪Notion workspace
  • ▪Slack workspace (Bot Token with chat:write)

Setup Track

Quick Start

~15 min

All credentials live, n8n running

Full Setup

1–2 hrs

Needs API config + tables

From Scratch

2–4 hrs

No n8n, no credentials

PostHog Feature Adoption Intelligence v1.0.0

$249

one-time purchase

What you get:

  • ✓24-node main workflow + 3-node scheduler
  • ✓Weekly feature adoption analysis from PostHog event and flag data
  • ✓5-dimension Feature Health Score (FHS): adoption rate, usage frequency, retention, growth velocity, power user ratio
  • ✓FHS 1-10 per dimension with adoption curve classification (EARLY ADOPTER/GROWING/MATURE/DECLINING/STALLED)
  • ✓Per-feature health cards with dimension breakdowns and trend indicators
  • ✓Adoption curve lifecycle classification for product roadmap decisions
  • ✓Power user ratio analysis identifying features with concentrated usage
  • ✓Growth velocity tracking for new feature launch monitoring
  • ✓Retention cohort analysis showing week-over-week stickiness
  • ✓Notion feature adoption dashboard with per-feature health cards
  • ✓Slack digest with features needing attention and top recommendations
  • ✓Configurable: feature list, lookback window, adoption thresholds
  • ✓Full technical documentation + system prompts

Frequently Asked Questions

What are the adoption curve classifications?+

EARLY ADOPTER: low adoption but growing fast. GROWING: increasing adoption with healthy retention. MATURE: high adoption, stable usage. DECLINING: dropping adoption or retention. STALLED: low adoption with no growth. Classification drives different recommendations — STALLED features may need promotion or deprecation.

What PostHog data does it need?+

Feature flag usage data and custom events associated with features. The Fetcher uses PostHog API to query event counts, unique users, and user properties. Feature flags must be set up in PostHog, or you can configure custom event names that map to features.

How does it differ from PostHog built-in analytics?+

PostHog shows individual feature metrics. This product scores features across 5 standardized dimensions, classifies lifecycle stage, compares features against each other, and generates prioritized recommendations. It is a weekly synthesized brief, not a dashboard you have to interpret.

Is there a refund policy?+

All sales are final after download. Review the Blueprint Dependency Matrix and prerequisites before purchase. Questions? Contact support@forgeworkflows.com before buying. Full terms at forgeworkflows.com/legal.

Read the full guide →

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