MICRO-COURSE

Experimentation & Product Analytics

Experimentation & Product Analytics: 13 short lessons, one for each concept. Hypotheses, success metrics, event taxonomies, funnels, cohorts, activation, retention, controlled experiments, A/B testing, statistical power, guardrail metrics, causal inference, and experiment interpretation.

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02 / UNDERSTAND

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Hypotheses, success metrics, event taxonomies, funnels, cohorts, activation, retention, controlled experiments, A/B testing, statistical power, guardrail metrics, causal inference, and experiment interpretation.

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Concept scope

03 / TRY IT

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Choose one question about Experimentation & Product Analytics that you want to answer.
Write down a small example, its inputs or starting point, and the result you expect.
Explain your reasoning and note what you would like reviewed in a live or 1:1 session.

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A short example, reasoning and an open question

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Explain the concept in your own words and identify where it fits in the subject.
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Explore 13 focused topics.

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13 results1–12

Lesson

Hypotheses

A short lesson on hypotheses from the Experimentation & Product Analytics micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Success metrics

A short lesson on success metrics from the Experimentation & Product Analytics micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Event taxonomies

A short lesson on event taxonomies from the Experimentation & Product Analytics micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Funnels

A short lesson on funnels from the Experimentation & Product Analytics micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Cohorts

A short lesson on cohorts from the Experimentation & Product Analytics micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Activation

A short lesson on activation from the Experimentation & Product Analytics micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Retention

A short lesson on retention from the Experimentation & Product Analytics micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Controlled experiments

A short lesson on controlled experiments from the Experimentation & Product Analytics micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

A/B testing

A short lesson on a/B testing from the Experimentation & Product Analytics micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Statistical power

A short lesson on statistical power from the Experimentation & Product Analytics micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Guardrail metrics

A short lesson on guardrail metrics from the Experimentation & Product Analytics micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Lesson

Causal inference

A short lesson on causal inference from the Experimentation & Product Analytics micro course: what it is, where it shows up in real systems, and a practical example you can apply.

Open lesson

Experimentation & Product Analytics

Recorded video

Start with the topic guide.

Concept scope

Prepare a focused example

Check your understanding

Need a walkthrough?Stay with this topic.

Request a live session for this topic.

Explore 13 focused topics.

Hypotheses

Success metrics

Event taxonomies

Funnels

Cohorts

Activation

Retention

Controlled experiments

A/B testing

Statistical power

Guardrail metrics

Causal inference

Need a walkthrough?
Stay with this topic.