Comprehensive Staff Level Capability Verification Questions
Synthesis of all previous assessment areas to verify you possess authentic Staff-level expertise: customer success domain mastery, strategic thinking, team leadership, operational excellence, cross-functional influence, and business acumen.
MediumTechnical
0 practiced
Propose a lightweight but effective decision-rights model and review cadence for cross-functional roadmap changes across 10 product teams. Specify which changes require executive review, which can be decided by team leads, who holds veto rights, and how dependencies and conflicts are surfaced and resolved.
HardTechnical
0 practiced
A growth team proposes a UI change that is likely to increase conversions but relies on a dark pattern that reduces transparency. As a staff PM, describe the process you would use to evaluate this tactic: stakeholders to consult, short- and long-term metrics to consider, legal and brand risks, ethical framework you'd apply, and your likely recommendation and communication plan.
MediumTechnical
0 practiced
Propose three product-led-growth experiments to improve free-to-paid conversion in a self-serve Customer Success tool. For each experiment, state the hypothesis, target cohort, primary metric, success criteria, and rollout plan including guardrails for adverse outcomes.
EasyTechnical
0 practiced
Prioritize the following three feature requests for a Customer Success product using RICE (provide RICE score calculations) and justify your final ranking:1) Auto-assign at-risk customers using ML: Reach=1,000 accounts/month, Impact=3, Confidence=0.6, Effort=8 person-weeks2) In-app knowledge base for customers: Reach=10,000 accounts/month, Impact=1.5, Confidence=0.8, Effort=4 person-weeks3) Executive account health dashboard: Reach=200 accounts, Impact=4, Confidence=0.7, Effort=6 person-weeksShow the math and discuss other qualitative factors you would consider.
MediumTechnical
0 practiced
You need to choose between investing in personalized onboarding (Option A) expected to reduce churn by ~3% within 6 months and building scalable self-serve resources (Option B) expected to increase conversion by ~5% over 12 months. Data is noisy. Walk through a decision framework, list critical assumptions you must validate, and propose short experiments to de-risk each investment.
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