Problem Statement Framework vs A/B Test Planner

Problem Statement Framework

By Dean Peters (PM)

Frame customer problems with empathy and evidence before jumping to solutions.

A/B Test Planner

By Mohit Agarwal (PM Skills)

Design product experiments with clear hypotheses, metrics, sample sizes, and decision rules.

Problem Statement Framework

• Guides you through a five-part narrative: who the user is, what they're trying to do, what's blocking them, why, and how it makes them feel
• Produces a single-sentence problem statement that teams can rally around
• Helps you avoid solution smuggling and ensures you're solving a problem worth solving
• Provides quality checks and examples to validate your problem framing with real users

A/B Test Planner

• Creates structured test plans with hypothesis, variants, metrics, and decision criteria
• Calculates required sample size and estimates how long your test needs to run
• Defines primary success metrics and guardrail metrics to protect key business outcomes
• Provides a results interpretation guide so you know when to ship, iterate, or stop
• Flags risks like low traffic, multiple comparisons, and premature result-checking

Reach for Problem Statement Framework when…

• You're kicking off discovery or user research and need to align the team on what problem you're solving
• Stakeholders are pushing for features but no one has articulated the underlying user problem
• You need to pitch why a problem is worth solving to engineering, design, or executives
• You're writing a PRD and want to start with a rock-solid problem definition

Reach for A/B Test Planner when…

• You're planning to test a new feature, pricing change, or UI redesign
• You need to know how many users and how long a test requires
• You want a clear decision framework before launching an experiment
• You're unsure whether your test setup will produce trustworthy results