Your method for picking the metrics that show a product or feature is working

Quick Overview

A product manager analytics question on how to decide which metrics define success for a product or feature. It tests whether the candidate can connect goals and user value to a small set of precisely defined metrics, choose a primary metric suited to the product's stage, and add counter-metrics, targets and a review cadence.

Your method for picking the metrics that show a product or feature is working

Company: Amazon

Role: Product Manager

Category: Analytics & Experimentation

Difficulty: medium

Interview Round: Other

Explain how you go about deciding which metrics will show that a product or a feature is succeeding. ```hint Start before the metrics Pin down what the product is supposed to change, for its users and for the business, before you name a single number. ``` ### Clarifying Questions - Should I describe a general method, or apply it to a specific product, either one I pick or one you name? - Is the case a new launch, a feature inside an existing product, or a mature product line? The stage changes which part of the funnel matters most. - Are these metrics for tracking health over time, for judging an experiment, or both? ### What a Strong Answer Covers - How the goal and the value delivered to users and to the business are established before any metric is chosen - A path from the user journey to a short list of candidate metrics, each defined precisely enough to compute - Criteria for choosing the primary metric, and how the product's stage shapes that choice - Supporting and counter-metrics that expose gaming or harm elsewhere - How targets are set and how the metric set is reviewed and revised ### Follow-up Questions - Your primary metric is rising while revenue is falling. How do you work out which signal to trust? - How would you set metrics for a feature whose value only shows up months later? - How do you keep a team from improving the metric at the user's expense?

Overview: A product manager analytics question on how to decide which metrics define success for a product or feature. It tests whether the candidate can connect goals and user value to a small set of precisely defined metrics, choose a primary metric suited to the product's stage, and add counter-metrics, targets and a review cadence.

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Amazon
Feb 21, 2024
mediumProduct ManagerOtherAnalytics & Experimentation
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Explain how you go about deciding which metrics will show that a product or a feature is succeeding.

Clarifying Questions Guidance

  • Should I describe a general method, or apply it to a specific product, either one I pick or one you name?
  • Is the case a new launch, a feature inside an existing product, or a mature product line? The stage changes which part of the funnel matters most.
  • Are these metrics for tracking health over time, for judging an experiment, or both?

What a Strong Answer Covers Guidance

  • How the goal and the value delivered to users and to the business are established before any metric is chosen
  • A path from the user journey to a short list of candidate metrics, each defined precisely enough to compute
  • Criteria for choosing the primary metric, and how the product's stage shapes that choice
  • Supporting and counter-metrics that expose gaming or harm elsewhere
  • How targets are set and how the metric set is reviewed and revised

Follow-up Questions Guidance

  • Your primary metric is rising while revenue is falling. How do you work out which signal to trust?
  • How would you set metrics for a feature whose value only shows up months later?
  • How do you keep a team from improving the metric at the user's expense?