PostHog Power User Identification Agent
AI-powered weekly power user behavioral analysis — fingerprints, aha moments, onboarding paths, segment profiles, and activation patterns that distinguish power from regular users.
Compares PostHog power users (top 10%) against regular users (bottom 50%) to identify distinguishing behaviors. Discovers behavioral fingerprints, aha moments in first 7 days, onboarding path differences, company segment clustering, and activation patterns. Generates actionable onboarding recommendations. Notion power user report + Slack insights digest. 24-node n8n workflow with Monday scheduler. BQS 12/12 certified.
Four Agents. Weekly Power User Analysis. Top 10% Behavioral Fingerprints.
Step 1 — The Fetcher
Code-only
Queries PostHog API for user-level activity data — event counts, feature usage breadth, session frequency, session depth, and engagement patterns. Retrieves the full user activity distribution for percentile analysis.
Step 2 — The Assembler
Code-only
Segments users into power users (top 10% by composite activity score) and baseline users (bottom 50%). Computes behavioral fingerprints: most-used features, session patterns, feature adoption sequence, time-to-first-value, and engagement cadence for each segment.
Step 3 — The Analyst
Tier 2 Classification
Identifies what differentiates power users from baseline: aha moment features, onboarding paths that lead to power usage, feature combinations that correlate with retention, and activation patterns. Generates actionable insights for product and growth teams.
Step 4 — The Formatter
Tier 3 Creative
Generates a Notion power user analysis report with behavioral fingerprints, segment comparison tables, and aha moment identification, plus a Slack digest with top 3 actionable insights for improving activation.
What It Does NOT Do
Does not contact or message power users directly — it identifies patterns for your team to act on
Does not create user segments in PostHog — it analyzes and reports, your team creates segments based on findings
Does not work with non-PostHog analytics tools — this is PostHog-specific
Does not predict individual user behavior — it identifies aggregate patterns across user segments
Does not guarantee activation improvements — it reveals behavioral patterns that teams must translate into product changes
The Complete Customer Success Bundle
6 files.
Tested. Measured. Documented.
Weekly power user behavioral analysis with top 10% vs bottom 50% comparison, aha moment identification, onboarding path analysis, and activation pattern insights delivered via Notion and Slack.
PostHog Power User Identification Agent 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 user analysis)Tool A: PostHog API — user activity dataTool B: Notion (httpHeaderAuth) — power user analysis reportTool C: Slack (httpHeaderAuth) — digest with top 3 activation insightsITP: 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 user-level event data
- ▪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 Power User Identification Agent v1.0.0
$199
one-time purchase
What you get:
- ✓24-node main workflow + 3-node scheduler
- ✓Weekly power user behavioral analysis from PostHog user data
- ✓Top 10% vs bottom 50% behavioral comparison
- ✓Power user fingerprints: most-used features, session patterns, engagement cadence
- ✓Aha moment identification — features that correlate with power user conversion
- ✓Onboarding path analysis showing which early actions predict power usage
- ✓Feature combination analysis revealing sticky feature clusters
- ✓Activation pattern identification for growth team experiments
- ✓Segment profile cards with behavioral characteristics
- ✓Notion power user analysis report with fingerprints and segment comparison
- ✓Slack digest with top 3 actionable insights for improving activation
- ✓Configurable: power user threshold, activity metrics, lookback window
- ✓Full technical documentation + system prompts
Frequently Asked Questions
What defines a power user?+
The top 10% of users by composite activity score — a weighted combination of event count, feature breadth (unique features used), session frequency, and session depth (events per session). The threshold and weights are configurable in the scheduler payload.
What are aha moments?+
Features or actions that, when completed by a user, strongly correlate with that user becoming a power user. The Analyst identifies these by comparing the feature adoption sequence of power users vs baseline users. If 85% of power users used Feature X within their first week but only 20% of baseline users did, Feature X is an aha moment candidate.
How does this help product teams?+
Three ways: (1) Aha moment identification tells you which features to promote during onboarding. (2) Power user fingerprints reveal the "ideal" usage pattern to design toward. (3) Onboarding path analysis shows which early actions predict long-term engagement, guiding product tour and nudge design.
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.
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