Data Storytelling and Insight Communication Questions

Skills for converting quantitative and qualitative analysis into a clear, persuasive narrative that guides stakeholders from findings to action. This includes leading with the headline insight, defining the business question, selecting the most relevant metrics and visual evidence, and structuring a concise story that explains what happened, why it happened, and what the recommended next steps are. Candidates should demonstrate tailoring of language and technical depth for diverse audiences from engineers to product managers to executives, summarizing trade offs and uncertainty in plain language, distinguishing correlation from causation, proposing follow up experiments or investigations, and producing concise executive summaries and status reports with an appropriate cadence. Interviewers evaluate the ability to persuade and align cross functional partners, answer questions about data validity and methodology, synthesize qualitative signals with quantitative results, and adapt presentation format and level of detail to the decision maker.

MediumTechnical

0 practiced

You must present a result with significant uncertainty (wide CIs, small sample). Describe how you'd communicate this to executives and what decisions you would recommend while acknowledging uncertainty.

HardTechnical

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A pricing change rolled out in several regions; you must estimate its causal effect using observational data. Describe how you would use difference-in-differences (DiD) and two alternative methods (e.g., instrumental variables, synthetic control), including assumptions and tests for validity.

EasyTechnical

0 practiced

You have daily active users (DAU) over 12 months broken down by device (iOS, Android, Web). For executive, PM, and engineering audiences, recommend the best visualization(s) and explain the reasoning and what interactions (if any) you'd provide.

MediumTechnical

0 practiced

Given events(user_id, user_agent, is_bot boolean, occurred_at timestamp), write a SQL query to compute weekly active users excluding bots and deduplicated across devices (count unique users per week). Explain your approach for deduplication.

EasyTechnical

0 practiced

Given an events table schema: events(event_id int, user_id int, event_type text, occurred_at timestamp), write a PostgreSQL query to compute weekly active users (WAU) for the last 12 weeks. Show week start, wau count, and include users who had any event that week.

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