Company Context

Andreessen Horowitz (a16z) operates a growing portfolio platform that supports founders through content, software, and network-driven products. Assume you are working on a16z.com plus founder-facing portfolio tools, where growth decisions are typically driven by funnel data, retention dashboards, and campaign performance.

Problem

The growth team is deciding whether to invest in a new onboarding and personalization experience for founders entering the a16z ecosystem. Quantitative data shows that only 32% of newly referred founders complete onboarding, and just 18% become weekly active users by week 4. However, the data does not clearly explain why users drop off. Early interviews suggest several possible issues: unclear value proposition, too many setup steps, and mismatch between founder stage and recommended resources.

Leadership wants a recommendation on how qualitative research should be used alongside quantitative data to make the growth decision. The challenge is not just to collect more data, but to decide when interviews, usability sessions, and open-ended feedback should influence prioritization versus when the team should rely primarily on behavioral metrics.

Deliverables

1. Explain how you would combine qualitative and quantitative inputs to diagnose the onboarding problem.
2. Identify which user segments you would prioritize and what questions you would answer with each research method.
3. Recommend what product changes, if any, should be prioritized first.
4. Define how you would know whether qualitative insights are strong enough to justify action before full experimental proof.
5. Outline the trade-offs and risks of over-weighting either qualitative or quantitative evidence.

Constraints

• You have 6 weeks to produce a recommendation and launch an MVP change.
• Research bandwidth is limited to 15 user conversations and one part-time designer.
• Engineering can support only one meaningful onboarding change this quarter.
• Leadership expects a clear growth rationale tied to activation and retention, not a generic research plan.