Research Tools and Platforms Proficiency Questions
Demonstrate proficiency with research tools and platforms commonly used at FAANG companies: user research platforms (Validately, UserTesting, Respondent), analytics tools (Google Analytics, Mixpanel, Amplitude), survey tools (Qualtrics, SurveyMonkey), and analysis software (NVivo, ATLAS.ti, or custom analysis approaches). Be prepared to discuss tool selection based on research needs.
MediumTechnical
31 practiced
Describe how you would build a repeatable dashboard in your BI tool (Looker, Mode, or internal dashboard) that surfaces the top 10 research-derived product insights each quarter by combining Amplitude event exports and survey results. Outline data transforms, join keys, and how you'd operationalize citations to original artifacts (video clips, transcripts).
EasyTechnical
32 practiced
Explain how event tracking works in Mixpanel/Metrics SDKs: distinguish between events, properties, user identification (distinct_id), and super-properties. Provide an example event with properties you might instrument to measure a successful checkout flow in a mobile app.
MediumTechnical
32 practiced
Write a SQL query (PostgreSQL dialect) that returns weekly active users (WAU) for the last 12 weeks from an events table named events(event_id, user_id, event_name, occurred_at TIMESTAMP). Group output by week starting on Monday and ensure users are counted once per week regardless of events.
MediumTechnical
32 practiced
Design a UserTesting study to evaluate three alternate onboarding flows. Specify the screener questions, task script for participants, key quantitative metrics (e.g., task success, time-on-task), and at least three qualitative probes. Describe how you'd randomize flows and ensure sample balance across demographics.
HardTechnical
47 practiced
Propose an algorithmic approach to attribute task success in remote usability studies by combining: (1) screen recordings (video), (2) heatmaps, and (3) product event logs. Discuss synchronization across data sources, automated heuristics vs manual coding, and a metric definition for 'task-success-score' you could compute at scale.
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