Defining and Using Success Metrics Questions

Learn to propose metrics that directly tie to business or product goals. Understand primary metrics (direct measure of success, like feature adoption rate or API call volume) versus secondary metrics (supporting indicators like latency, error rates, or user satisfaction). Practice proposing 2-3 realistic metrics for different scenarios. At entry-level, you don't need statistical sophistication, but you should understand how to measure whether something worked and why certain metrics matter.

EasyTechnical

0 practiced

Design a 4-stage funnel for an e-commerce checkout flow and define one metric for each stage. Explain how you'd compute drop-off between stages, compute overall cart-to-purchase conversion, and describe one experiment to improve conversion at the biggest drop-off point.

EasyTechnical

0 practiced

Explain what baseline measurement is and why capturing a baseline is important before making changes. Provide an example: how would you capture a baseline for page load time and how long would you measure to be confident the baseline is stable?

MediumTechnical

0 practiced

You're prioritizing three competing features for the roadmap. Propose a metric-driven scoring rubric: list four metrics to include (impact, confidence, effort, risk), describe how to quantify each, propose weights, and explain how you'd validate the resulting priority ordering with stakeholders.

EasyTechnical

1 practiced

You're an entry-level PM asked to propose success metrics for a small feature rollout. List the concrete steps you would take from identifying business goals to finalizing metrics, including stakeholders to consult, validation you'd perform, and how you'd document the metrics.

EasyTechnical

0 practiced

Describe how you would measure customer satisfaction using NPS and CSAT for a product. For each metric include recommended question wording, sampling cadence, segmentation approach, minimum sample size considerations, and one limitation of the metric.

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