Packt
Design for Impact: A Guide to Product Experimentation

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Packt

Design for Impact: A Guide to Product Experimentation

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Apply research to generate testable, insight-driven hypotheses

  • Prioritize ideas and workflows based on value and feasibility

  • Test solutions using data-centered validation techniques

Details to know

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Recently updated!

November 2025

Assessments

9 assignments

Taught in English

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There are 9 modules in this course

In this section, we replace opinion-driven decisions with a seven-step Conversion Design workflow, using A/B tests and isolated metrics to compound user value and business impact.

What's included

2 videos4 readings1 assignment

In this section, we blend qualitative observation with quantitative analytics to craft mixed-method UX research, prioritize high-value customer problems, and translate evidence-based insights into measurable product and business gains.

What's included

1 video2 readings1 assignment

In this section, we apply the scientific method to business experimentation, formulating null and alternate hypotheses, implementing randomized sampling, detecting sample ratio mismatches, and interpreting results for data-driven decisions.

What's included

1 video5 readings1 assignment

In this section, we learn to prioritize high-impact experiments, allocate effort with a 60/40 foundational-innovation split, and deploy Kanban to surface bottlenecks, blockers, and bloat, accelerating validated learning.

What's included

1 video6 readings1 assignment

In this section, we design conversion experiments by prioritizing accessibility, usability, and culturally aware localization, then leverage aesthetic cues and feedback loops to motivate engagement and collect reliable test insights.

What's included

1 video7 readings1 assignment

In this section, you will learn to craft hypothesis-driven variant-A-versus-B tests, compute minimum detectable effect and sample size, and interpret confusion matrices to support confident, evidence-based product choices.

What's included

1 video7 readings1 assignment

In this section, you will interpret experiment data with p-values, confidence intervals and conversion math while avoiding peeking bias and volatility, enabling sound, evidence-based design decisions.

What's included

1 video7 readings1 assignment

In this section, we expose cognitive biases that distort experiment analysis and apply guardrail metrics and peer review boards to drive balanced, evidence-based product decisions.

What's included

1 video8 readings1 assignment

In this section, we analyze cultural levers, build reinforcement systems, and embed norms, traditions, and artifacts that reward rigorous A/B experimentation, scaling Conversion Design's data-driven impact across the organization.

What's included

1 video7 readings1 assignment

Instructor

Packt - Course Instructors
Packt
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