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Model

HEART framework

A framework for choosing what to measure in a digital product (happiness, engagement, adoption, retention and task success), starting from goals rather than available data.

In Spanish
Métricas HEART
Origin
Rodden, Hutchinson and Fu (2010), at Google

What problem it addresses

Avoids measuring only visits or clicks and connects the numbers to what you actually want to improve.

Components

  • Happiness

    What people feel and think, for example their satisfaction.

  • Engagement

    How much and how often they use the product.

  • Adoption

    How many people start using it.

  • Retention

    How many keep using it afterward.

  • Task success

    Whether they achieve what they set out to do, how fast and with how many errors.

How it works

  1. Goals what the product should achieve.

  2. Signals what behavior or response would show it.

  3. Metrics how to count it to track it over time.

Applications in design

  • Use it like this

    Decide what to measure before launching a change and check afterward whether the experience improved.

  • Avoid

    Always using all five categories; choose the ones that make sense for your product.

  • Don’t fall for it

    Metrics say what happens, not why: combine them with qualitative research.

Authors and works

  1. 2010

    Kerry Rodden, Hilary Hutchinson and Xin Fu

    Proposed the five categories and the goals, signals and metrics process based on their work with product teams at Google.

Sources

Original sources

  • Rodden, K., Hutchinson, H., & Fu, X. (2010). Measuring the user experience on a large scale: User-centered metrics for web applications. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’10). ACM. View source: Rodden, K., Hutchinson, H., & Fu, X. (2010)

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