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Wealthsimple·Product Manager·Onsite - Product Sense / Strategy·Senior

Senior
Apr 2026

Summary

PM interview at Wealthsimple, one question deep into a product analytics case about diagnosing a conversion drop. Pretty standard fintech case but the specifics made it trickier than expected.

Questions Asked (1)

Q1

Wealthsimple's landing page conversion rate dropped by 25%. Walk through how you'd diagnose what's causing it.

Root Cause AnalysisProduct Analytics & MetricsA/B Testing & Experimentation
Author's notes

I jumped straight to external factors first which was probably the wrong order.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the metric definition and time frame, then segment the drop by traffic source, device, user cohort, and funnel stage to isolate where the decline is concentrated. Form hypotheses about potential causes (technical, external, product changes, seasonality) and validate them with data before proposing solutions.

Pro tip: Before diving into analysis, ask if there were any recent deployments, marketing campaigns, or external events—this often reveals the cause immediately and shows you think holistically.

1. Clarify the metric and scope

Define what 'conversion rate' means (e.g., sign-up, deposit, etc.), the exact time period of the drop, and whether it's a sudden or gradual decline. Confirm data accuracy and rule out tracking issues.

2. Segment the data

Break down the drop by dimensions like traffic source, device, geography, user type (new vs. returning), and funnel step to identify where the decline is concentrated.

3. Generate hypotheses

Based on segments, brainstorm potential causes: technical issues (page load, bugs), external factors (competitor launch, seasonality), product changes (UI/UX updates), or marketing shifts (ad quality, targeting).

4. Validate hypotheses with data

Use analytics, A/B tests, session recordings, or user feedback to confirm or eliminate each hypothesis. Prioritize the most likely and impactful causes.

5. Recommend next steps

Propose immediate fixes if a clear cause is found, or design experiments to test remaining hypotheses. Outline how to monitor recovery and prevent future drops.

Key Points to Mention

  • Check for technical issues: page load time, JavaScript errors, broken links, or form validation problems.
  • Analyze traffic source changes: a shift in ad campaigns, SEO ranking, or referral traffic could bring lower-quality visitors.
  • Consider external factors: competitor promotions, economic events, or seasonality (e.g., tax season for financial products).
  • Review recent product changes: A/B tests, UI updates, or new features that might have inadvertently hurt conversion.
  • Segment by device and browser: mobile vs. desktop issues are common culprits.
  • Use qualitative data: session recordings, heatmaps, or user surveys to understand behavior changes.

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.