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Is your PostHog setup actually working?

Score your setup across 6 dimensions in under 5 minutes. See where your analytics infrastructure is strong — and where it's silently failing you.

HOW TO USE THIS

Rate each criterion from 1 (not in place) to 5 (fully implemented). Your total score out of 30 appears below as you go.

01 / 06

Event Taxonomy

How consistently your events are named, structured, and documented. Poor taxonomy makes every query harder than it needs to be.

— /5

section score

Naming convention — Events follow a consistent pattern (e.g. object_action) with no duplicates or synonyms
Parameter coverage — Events carry the properties needed for segmentation (user tier, plan, cohort, feature area)
Documentation — Your tracking plan is written down, current, and shared with the team
02 / 06

Tracking Coverage

Whether the right actions are being captured. Gaps here mean entire user journeys are invisible to you.

— /5

section score

Activation events — The specific actions that define "activated user" are tracked and queryable
Funnel events — Every step of your signup, onboarding, and conversion funnel has a corresponding event
Feature adoption events — When users discover and engage with key features, those moments are captured
03 / 06

Dashboard Strategy

Whether your dashboards answer real questions or just display activity. Dashboards nobody acts on are clutter.

— /5

section score

Hypothesis-driven — Each dashboard was built to answer a specific question, not to display available data
Segmentation — Dashboards break down by plan, cohort, or user persona — not just aggregate numbers
Ownership — Someone is accountable for reviewing each dashboard regularly and acting on what it shows
04 / 06

Experiment Infrastructure

Whether you can run reliable A/B tests. Without proper infrastructure, experiments produce noise, not signal.

— /5

section score

A/B test setup — You have run at least one experiment in PostHog with a defined hypothesis and success metric
Feature flags — You use feature flags for staged rollouts, not just A/B tests — and flags are cleaned up after use
Statistical rigour — Experiments run to sufficient sample size before decisions are made — no peeking and calling early
05 / 06

Data Quality

Whether you can trust your numbers. Duplicate events and fragmented identity make every metric suspect.

— /5

section score

Deduplication — You have an active strategy to prevent duplicate events from inflating counts
Identity resolution — Anonymous visitors are reliably merged to identified users on signup — no split journeys
Group analytics — Where relevant, events are associated with accounts or organisations — not just individual users
06 / 06

Team Adoption

Whether PostHog is actually used — or just installed. A tool nobody touches is a liability, not an asset.

— /5

section score

Cross-functional users — People outside the data team (product, growth, engineering) actively query PostHog themselves
Self-serve reporting — Team members can build their own insights without requiring analyst support for every question
Training and onboarding — New team members receive structured onboarding to PostHog — not just access and good luck
0 / 30

Total Score

Complete the scorecard above

Rate all six sections to see your result.

INTERPRETING YOUR SCORE

What each band means — and what to do next

0 – 10

Foundation needed

Your PostHog installation is active but your analytics infrastructure isn't reliable yet. Event taxonomy, tracking coverage, or data quality issues mean queries will return misleading numbers. Fix foundations before building dashboards or running experiments.

11 – 20

Good start, gaps to fill

You have a working setup and some good habits, but specific areas are holding you back. Review which sections scored lowest — those are where your time investment will return the most. Dashboard strategy and team adoption are the most common gaps at this level.

21 – 30

Strong setup

Your PostHog infrastructure is solid. At this level, the work shifts from fixing foundations to extracting more value — more sophisticated experiments, deeper segmentation, and connecting analytics to revenue outcomes. The ceiling is high from here.

WANT AN EXPERT REVIEW?

We review PostHog setups for B2B SaaS teams

If your score surfaced gaps you want help fixing — or you want a second opinion from someone who works inside PostHog every week — we do setup reviews as part of our analytics engagements.

Talk to us about your PostHog setup →