Advocacy and Constructive Disagreement Questions
Share examples of times you disagreed with leadership, colleagues, or customer requests and advocated for your perspective. Demonstrate healthy disagreement: listening to others' views, building evidence for your position, expressing concern diplomatically, accepting decisions even when you disagree. Show that you can influence outcomes through persuasion rather than authority. At mid-level, demonstrate both advocating for your views and respecting final decisions by others.
HardTechnical
0 practiced
Senior marketing drafts a PR-friendly product story that omits known technical limitations. As PM, outline how you would approach this tension: list ethical and legal considerations, potential business risks, alternative messaging strategies that balance marketing goals with technical honesty, and a proposed statement or FAQ that preserves trust.
MediumTechnical
0 practiced
Contrast 'advocacy by data' and 'advocacy by empathy' in product discussions. Give examples of when each approach is most persuasive, explain how to combine both when presenting to skeptical stakeholders, and identify pitfalls of relying exclusively on one type of advocacy.
MediumTechnical
0 practiced
Sales is pushing for an earlier delivery date for a large enterprise deal. Create a negotiation playbook template PMs can use in these situations: list possible concessions (commercial and product), non-negotiable items, sample communication scripts for sales and engineering, and a framework to quantify and present trade-offs so sales understands cost to accelerate.
MediumTechnical
0 practiced
A conversion funnel shows a sharp drop at checkout. Marketing blames landing pages, engineering blames backend latency, and leadership demands quick answers. As the PM, outline a diagnostic plan: events to instrument, quick experiments or canaries to run, rollback criteria, stakeholders to involve, and a communication approach that prevents finger-pointing while you find the root cause.
MediumTechnical
0 practiced
You observe weekly retention dropping after a UI redesign. Sample data:| week | new_users | retained_week1 ||------|----------:|---------------:|| 1 | 10000 | 40% || 2 | 9800 | 37% || 3 | 10200 | 33% || 4 | 10500 | 31% |Design the analysis you would run to determine whether the redesign caused the retention drop. Include specific queries or metrics, cohorting strategy, statistical checks, instrumentation validation, and how you'd present a recommendation to a design team that claims the drop is a data anomaly.
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