You are tasked with reducing the 30% drop‑off rate in the onboarding flow of a SaaS product. How would you diagnose the problem and iterate on a solution?

Use the CIRCLES framework: Context, Input, Roles, Constraints, List, Evaluate, Solution. 1) Gather analytics and user interview data. 2) Define the core problem and success metrics. 3) Identify constraints (technical, business, regulatory). 4) Generate a list of potential fixes. 5) Evaluate each using RICE (Reach, Impact, Confidence, Effort). 6) Prototype top solutions, run A/B tests, iterate based on results.

I would start by applying the CIRCLES framework to structure my investigation. First, I gather quantitative data from analytics dashboards and qualitative insights from user interviews to understand where users abandon the flow. Next, I define the problem in terms of a clear metric—reducing drop‑off to below 15%—and identify constraints such as platform limitations and compliance rules. I then generate a list of potential improvements, such as simplifying form fields, adding inline validation, or providing contextual help. Using the RICE scoring model, I prioritize these ideas, focusing on those with high reach and impact but low effort. I prototype the top solutions, run A/B tests, and iterate based on statistical significance and user feedback. Finally, I monitor post‑launch metrics to ensure sustained improvement and communicate results to stakeholders.