Interpret Product Analytics

Background: Native [platform] app collecting the events from my taxonomy
(Section 4.5). Here's the data/question: [paste funnel numbers, retention
curve, or describe what I want to understand—e.g., "users drop off at
onboarding step 3"].

Use case: Help me interpret this and find the actionable insight, not
just describe the numbers.

Implementation details:
- Analyze the funnel/retention/engagement data for where and why users
  drop off or disengage
- Separate correlation from likely cause; propose what to investigate
  next to confirm
- Compare against sensible mobile benchmarks where relevant (e.g., D1/D7/
  D30 retention) with appropriate caution
- Identify the single highest-leverage place to intervene
- Flag where the data itself is suspect (tracking gaps, sampling)

Deliverable: An interpretation of the data, the most likely explanation
for the pattern, the highest-leverage intervention to try, and what to
measure to validate it.