I fumbled this a bit because my first instinct was to talk about a time I got more data before deciding, which kind of misses the point.
Use the STAR method to structure your answer, focusing on a specific situation where you had to make a decision with incomplete data. Highlight how you assessed the available information, weighed risks, and made a timely decision, then emphasize the outcome and what you learned. Showcase your ability to balance speed and accuracy in ambiguous situations, which is crucial for a Technical Product Manager at Google.
Pro tip: Emphasize that you proactively identified what data was missing and took steps to mitigate risks, rather than just proceeding blindly. Demonstrate that you can make decisions with 70% of the information and adjust as new data emerges, a key principle at Google.
Briefly describe the project, your role, and the decision that needed to be made. Explain why the data was incomplete and the constraints (e.g., time, resources).
Detail what data you did have, how you evaluated its reliability, and any assumptions you made. Mention any quick research or consultation with experts to fill gaps.
Describe the alternatives you considered, the trade-offs, and how you weighed potential risks and benefits. Explain how you prioritized what mattered most.
Explain the decision you made, how you communicated it to stakeholders, and how you ensured alignment. Highlight any steps to monitor and adjust as new data emerged.
Summarize the results, whether the decision was successful, and what you learned. Emphasize how this experience improved your decision-making in ambiguous situations.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.