I jumped straight into metrics and kind of skipped the 'should we even do this' part, which I think hurt me.
Start by clarifying the goal and scope of the feature, then propose a structured evaluation using user research, competitive analysis, and data-driven metrics. Outline how you would design and run experiments to validate demand, measure impact, and decide on launch.
Pro tip: Emphasize that the decision should be based on incremental value and strategic alignment, not just user requests. Mention the importance of defining clear success metrics and guardrails before running experiments.
Understand the problem: why group calling? What user pain points or opportunities does it address? Define the target user segments and use cases.
Evaluate alignment with company mission and product strategy. Consider technical complexity, resource requirements, and potential risks.
Research competitor offerings, user behavior data, and survey feedback to estimate demand and potential adoption.
Establish success metrics (e.g., adoption, engagement, retention) and guardrail metrics. Design A/B tests or pilot launches to measure impact.
Analyze experiment results, weigh trade-offs, and recommend launch, iterate, or abandon based on evidence and strategic priorities.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.