skills/posthog/skills/posthog-onboarding

posthog-onboarding

Installation
SKILL.md

PostHog CS Improvement Skill

Help existing PostHog customers get more value from their instance. This skill is for Customer Success, not sales — the customer already has PostHog installed, something isn't working well, and your job is to diagnose the gaps and give them a clear path forward.

Core assumption: Their current implementation is probably underinstrumented, inconsistently named, or not being used by the right people. Start from that baseline.

Workflow

  1. Research – Understand what the company builds
  2. Current State – Ask the customer to describe their setup and pain points
  3. Customer Profile – Synthesize into a structured profile
  4. Ideal Schema – Design best-in-class events and properties for their business type
  5. Insights Plan – Prescribe insights by problem + maturity (see references/insights-plan.md)
  6. Improvement Plan – Prioritized, actionable recommendations
  7. Output – Customer-facing improvement plan

Writing Style: Follow references/writing-style.md for all outputs. Conversational and direct — not corporate, not salesy.

Step 1: Research

When triggered with a company name or domain, research:

  • What they build (product/service)
  • Their customers (B2B/B2C, market)
  • Business model (pricing, signup flow)
  • Tech signals (job postings, docs, stack)

Determine business type: B2B SaaS, B2C SaaS, E-commerce, Marketplace, Developer Tools, Fintech, Healthcare, Content/Media

See references/business-types.md for events and metrics by type.

Step 2: Current State

The goal here is to understand what's broken, missing, or ignored — not to validate what's working. Ask questions that surface problems.

Ask 2–3 questions max per message. Skip anything already known from research or context.

Must-Have

Context Why Question
Primary pain point Drives everything "What's the #1 thing PostHog isn't giving you right now?"
Key user journeys Core of any tracking plan "What are the 2–3 most important flows in your product?"
Current events Identifies gaps "What events are you tracking today? What do you wish you were tracking?"
Who uses PostHog Shapes recommendations "Which teams actually open PostHog — and which ones should but don't?"
Products in use Finds expansion areas "Which PostHog products are you actively using vs. ignoring?"

Should-Have

  • How long they've had PostHog
  • Whether engineers are engaged or if CS/PM are blocked waiting for instrumentation
  • Any previous attempts to fix the problem that didn't stick
  • Compliance constraints

Step 3: Customer Profile

## Customer Profile: [Company]

### Overview
- **Business Type:** [type]
- **What They Build:** [1–2 sentences]
- **Their Customers:** [B2B/B2C, who]
- **Revenue Model:** [subscription/usage/etc]
- **Stage:** [Seed/A/B, employee count]

### PostHog Setup
- **Time Using PostHog:** [months/years]
- **Products Active:** [Analytics, Replay, Flags, Experiments, Surveys, etc]
- **Analytics Maturity:** [Beginner/Intermediate/Advanced]
- **Who Uses PostHog:** [roles]
- **Who Doesn't (But Should):** [roles being left out]

### Current State
- **What They Think Is Working:** [their perception]
- **Primary Pain Point:** [the #1 problem, in their words]
- **Likely Gaps:** [based on what they told you — missing events, underused products, no dashboards, wrong people]

### Technical Context
- **Stack:** [web/mobile/backend, frameworks]
- **User Volume:** [DAU/MAU or events/month if known]
- **Compliance:** [requirements if any]

### Their Product
- **Key Journeys:** [1] [2] [3]
- **Activation Metric:** [what success looks like for their users]

Step 4: Ideal Schema

Don't try to audit what they have — you don't have visibility into their data. Instead, design the best-in-class schema for their business type and key journeys, then use it as a benchmark. The customer can map their current tracking against it.

See references/data-schema.md for full property lists, group schemas, and AARRR event templates. See references/business-types.md for events and metrics specific to their business type.

What to design

Person properties — what you'd want to know about every user (role, plan, signup source, activation status, etc.)

Group properties — for B2B: org name, plan, seat count, MRR, health score

Core events — cover the full AARRR journey for their product type:

  • Acquisition: how users arrive and sign up
  • Activation: the moment they first get value
  • Retention: the actions that predict they'll come back
  • Referral: sharing, inviting, expanding
  • Revenue: upgrade, purchase, renewal

Key properties on each event — include context that makes the event useful: source, method, plan, is_first_time, duration_seconds, etc.

Naming conventions

  • snake_case for everything
  • is_ prefix for booleans
  • _count suffix for numbers
  • _at suffix for timestamps
  • Be specific: subscription_upgraded not upgrade

Present this as: "Here's what great looks like for a company like yours — let's figure out how close you are."

Step 5: Insights Plan

Prescribe insights based on their pain point and maturity. See references/insights-plan.md for full detail.

Maturity Levels

Beginner: No analytics or just GA, no custom events, no dashboards Intermediate: Some events, knows funnels/cohorts, has used Mixpanel or Amplitude Advanced: Mature tracking, warehouse integration, running experiments

By Problem

Problem Beginner Intermediate Advanced
Churn Retention chart, replays of churned users Behavioral cohorts, correlation analysis LTV analysis, churn prediction experiments
Trial conversion Signup funnel, replays Breakdown by source/plan Exit surveys, A/B test CTAs
Onboarding Step funnel, replays Paths, device breakdown A/B test flows, in-product surveys
Feature adoption Usage trends, stickiness Feature retention, power users Correlation with retention
PMF 12-week retention, WAU/MAU Power user cohorts Sean Ellis survey

Always suggest 2–3 capabilities they're probably not using:

  • Session Replay with filters (most underused)
  • Correlation analysis
  • Feature flags for safe rollouts
  • In-product surveys
  • User paths
  • Group analytics for B2B accounts

Step 6: Improvement Plan

Prioritize by what unblocks the most value fastest. Frame as three phases:

Fix first (Days 1–7): Broken or missing events that are blocking any meaningful analysis. Naming fixes. Enabling products they already have access to.

Strengthen (Week 2–3): Add tracking for key journeys identified in Step 2. Build 2–3 core dashboards tied directly to their pain point. Get the right people in PostHog.

Expand (Week 3+): Add PostHog products they're not using (Flags, Experiments, Surveys). Deepen with group analytics or warehouse if relevant.

SDK reference (for instrumentation fixes)

Stack SDK Notes
React/Next.js posthog-js + Provider Use PostHogProvider
Vue/Nuxt posthog-js Manual init
React Native posthog-react-native Handles persistence
Flutter posthog-flutter Dart
iOS posthog-ios Swift/ObjC
Android posthog-android Kotlin/Java
Node.js posthog-node Server-side
Python posthog-python Django/Flask/FastAPI

Watch-outs

  • No engineering bandwidth to implement fixes — flag this early, don't build a plan that requires it
  • Pain point is vague — keep asking until it's specific and measurable
  • Tracking exists but no one looks at it — this is an insights gap, not a data gap; solve differently
  • The champion isn't actually using PostHog — whoever you're talking to needs to be a real user

Step 7: Output — Customer Improvement Plan

One document, shared with the customer. Conversational and direct — written like a PostHog doc, not a sales deck.

# PostHog improvement plan – [Company]

## What we're trying to fix
[One or two sentences. Name the problem specifically — not "improve analytics" but "understand why users churn in week 2" or "know which features drive retention."]

## Where you are now
[Honest, kind assessment. What's working, what isn't, and what's missing. Don't sugarcoat but don't be harsh. 3–5 sentences.]

## The ideal setup for a company like yours
[Brief description of what best-in-class looks like for their business type — reference the ideal schema from Step 4. Frame as "here's where you want to get to."]

## What we recommend

### Fix first
[2–3 specific, immediately actionable fixes. Name the event or property. Explain what it unlocks in one sentence.]

### Events to add
[Key missing events from the ideal schema. For each: event name, why it matters, one key property to include.]

### Insights to build
[3–5 specific insights tied to their pain point. Name the insight type, what question it answers.]

### Products to start using
[Any PostHog products they have access to but aren't using. One sentence on why each is relevant to their problem.]

## Your action plan

### Week 1
**Your team:**
- [ ] [Specific action + who owns it]

**We'll handle:**
- [ ] [What PostHog CS will do]

**End of week 1 goal:** [What "done" looks like]

### Week 2–3
[Next phase actions, same format]

## How we'll know it's working
| What | Target | How to check |
|------|--------|--------------|
| [Metric] | [Specific number or outcome] | [Where to look in PostHog] |

Reference Files

  • references/data-schema.md – Person/group/event properties with stakeholder value
  • references/insights-plan.md – Insights by problem and maturity
  • references/business-types.md – Events and metrics by business type
  • references/writing-style.md – PostHog writing guidelines
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