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Product Intelligence

Product Analyst

Watches what users actually do in your product. Funnel analysis, feature adoption, experiments. Not guesses.

The Product Analyst has read/write access to PostHog. It can analyze conversion funnels, track feature adoption, manage feature flags, run A/B experiments, and identify the behaviors that predict retention.

Get startedSee how Inteldo orchestrates

Signups

2,400↑+12%

Activated

960↓-8%

Converted

384↑+5%
60% drop at activation

How it works

Watch what users do

Not what they say. What they actually do.Product Analyst watches the behavior.

The Funnel

Where do users drop off?

Not vanity metrics. The actual conversion points. See exactly which step loses users and how many.

Funnel analysis

Where do users drop off?

Landing10,000
Signup2,400
Activate960
Convert384
Activate step losing 60% of signups

The Behavior

What are they actually doing?

Session replays, click patterns, rage clicks. Watch what happens when users hit that broken step.

Session analysis

What are they actually doing?

Clicked 'Create Project'0:12
Entered project name0:24
Hit confusing modal0:31
Closed tab0:47
Pattern seen in 847 sessions

The Experiment

Does this change work?

A/B tests with statistical rigor. Know if the fix actually moves the metric, not just hope.

1 agents working
0:08
Product Analyst

Querying PostHog funnels...

The Activation

What predicts success?

Find the behaviors that predict retention. Turn vague 'engagement' into specific actions to drive.

Key Insight

Users who create 3+ projects in week 1 have 4x retention

90-day Retention by Week 1 Activity

1x
0-1
2x
1-2
4x
3+

Projects created in week 1

This is your activation metric. Optimize onboarding to hit 3 projects.

activation-analysis.md
cohort-retention.md

Sound familiar?

Questions about users

These used to require SQL queries and custom dashboards. Now they take one question.

1

“Why do users drop off at step 3?”

investigated

Mobile users hit a JS error on Safari

67% fail rate on iOS, desktop is fine

2

“Which feature drives retention?”

investigated

Users who create 3+ projects in week 1

4x higher 90-day retention than users who create 1

3

“Should we ship the new onboarding?”

investigated

Test shows 23% lift with 95% confidence

Ship it. Results are statistically significant.

Capabilities

What Product Analyst can do

Full PostHog access: read and write.

Analysis

Funnel analysis

Create and analyze conversion funnels. Find exactly where users drop off and why.

Land
10K
Sign up
7K
70%
Activate
4.5K
64%
Convert
2.5K
56%

35% drop at activation

Control

Feature flags

Manage feature rollouts. Toggle flags, set conditions, target segments.

new_checkoutON
dark_modeON
ai_assistOFF

Testing

A/B experiments

Run experiments with statistical rigor. Know when to ship.

A/B Test Results

A
12.4%
control
B
15.3%
+23% lift

95% confidence - ship it

Retention

Cohort analysis

Track how each cohort retains over time. Find activation patterns.

W0W1W2W3W4
Jan 1
Jan 2
Jan 3
Jan 4

Integrations

Connected data sources

Product Analyst cross-references these sources for compound intelligence.

PostHogRead + Write

Works with

Related specialists

Product Analyst often collaborates with these agents.

Revenue

Billing patterns, churn signals, pricing analysis

Traffic

Session analysis, acquisition channels, conversions

Browser

Live page testing, visual regression, screenshots

Ready to ask?

Stop guessing about users

Connect your PostHog. Ask your first product question.

Get started
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