Getting insights from Product Adoption Insights — a practical guide

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This guide walks through how to use Product Adoption Insights to answer common product questions. It assumes you've already set up No-code Event Tracking and have events firing. If you haven't done that yet, start there.

Common questions PAI can answer

  • Where are users dropping off in my onboarding flow?

  • Which plan tier has the highest feature activation rate?

  • How many users completed [key action] in the last 30 days?

  • Which users haven't activated a core feature yet?

  • How did my product change affect engagement?

Which tool to use

Question type

Use this

"How many users did X over time?"

Chart Builder — Usage Analysis

"Where do users drop off in a process?"

Chart Builder — Funnel Analysis

"How does behavior differ between segments?"

Chart Builder + Group By

"I want to monitor several metrics at once"

Dashboards

"I want to target users who did/didn't do X"

No-code Event Tracking → Flow conditions

Answering "where do users drop off?"

Use Funnel Analysis for drop-off questions.

  1. Go to Charts and click Create chart.

  2. Select Funnel analysis.

  3. Add each step in the user journey as a separate step in the funnel. Example: Step 1 = "Signed up" event, Step 2 = "Created project" event, Step 3 = "Invited teammate" event.

  4. Set your time range using the global filter.

  5. Read the % Step Drop-off column to see where the largest loss happens.

What to do with drop-off data:

  • A high drop-off at Step 1→2 suggests friction immediately after sign-up. Check whether your onboarding flow is targeting the right users.

  • A high drop-off mid-funnel often points to a specific feature or step that's confusing. Use Userflow Flows to add guidance at that point.

  • Export the users who dropped off at a specific step (hover right of the step → export icon → Export users as CSV) to follow up directly.

Answering "which segment performs best?"

Use Usage Analysis with Group By.

  1. Create a Usage Analysis chart for the event you want to analyze.

  2. In the chart configuration panel, click Group By.

  3. Select the attribute to segment by — for example, Plan Type, Company Size, or Region.

  4. The chart splits into separate lines/bars for each attribute value.

Tips:

  • Group By shows up to the top 10 values by volume. Remaining values appear as "Other."

  • Combine Group By with a global filter to narrow your dataset first.

Building a monitoring dashboard

  1. Go to Dashboards and click Create dashboard.

  2. Give your dashboard a name (e.g., "Onboarding Health" or "Feature Adoption — May 2026").

  3. Click Add chart and select existing charts to add.

  4. Arrange and resize charts by dragging.

  5. Share the dashboard URL with teammates who need visibility.

Troubleshooting: why is my chart empty?

No data is appearing:

  • Check that the event you're tracking is actually firing. Go to a user's profile and check their event history to confirm the event name matches exactly (case-sensitive).

  • Verify the time range — charts default to the last 30 days.

  • Confirm your No-code Event Tracker is published in Production (not just Staging).

Group By shows only one segment:

  • The user profiles in your dataset may not have the attribute you're grouping by.

Funnel shows 0% completion at step 2+:

  • Verify the event names for each step are correct and distinct.