---
title: HEART Framework · Google's UX Measurement Model | RGM®
url: https://realgrowthmatters.com/learn/frameworks/heart-framework-google-ux/
updated: 2026-06-10
source_html: https://realgrowthmatters.com/learn/frameworks/heart-framework-google-ux/
---

**Attribution.** The HEART framework was developed by Kerry Rodden, Hilary Hutchinson, and Xin Fu at Google around 2010 and published in a 2010 CHI conference paper. It became the standard UX measurement approach across Google products and has been widely adopted across the tech industry. This article reviews the framework.

## The five categories

HEART organizes UX measurement into five categories. Each category captures a different aspect of user experience.

- **Happiness.** Attitudinal — how do users feel about the experience? Captured via satisfaction surveys, NPS, perceived ease of use.
- **Engagement.** Behavioral — how often, how deeply, how long do users interact? Sessions per user, depth per session, intensity of use during sessions.
- **Adoption.** New user pickup — how many new users start using a feature or product?
- **Retention.** Returning users — how many users continue using over time?
- **Task success.** How efficiently and effectively do users complete the things they came to do?

## The Goals-Signals-Metrics process

Keep going · Free training

### Measurement & Attribution

Concepts only go so far. Operate them — RGM's measurement training covers GA4 setup, attribution model selection, MMM basics, and incrementality testing. Hands-on, free.

[Start the training →](/training/)

HEART pairs with a process called Goals-Signals-Metrics for picking the actual measurements:

1. **Goals.** For each HEART category, what does success look like for this product? "Users feel confident enough to recommend us" might be the Happiness goal.
2. **Signals.** What behavior or attitude would tell us we're moving toward the goal? "Higher NPS scores" might be a signal for the above goal.
3. **Metrics.** The specific quantitative measurement. "NPS score on the post-purchase survey, measured monthly, segmented by purchase value" is a metric.

The three-step process forces teams to articulate why each metric matters — preventing the common failure of measuring whatever is easy to measure.

## Why HEART matters for marketers

Most marketing measurement focuses on acquisition (CAC, conversion rate, CTR) and revenue (LTV, ARR, MER). HEART captures the experience quality that drives all the downstream business metrics. If Happiness, Engagement, and Task success are weak, marketing has to work harder forever — every customer churns sooner, every reference is harder to earn, and acquisition efficiency erodes.

Companies that monitor HEART metrics alongside business metrics catch experience degradation before it shows up in revenue. Companies that only monitor business metrics learn about experience problems through churn, six months too late.

**HEART is not exhaustive.** Not every product needs all five categories. A one-off purchase product cares about Adoption and Task success, less about Retention. A daily-use SaaS product cares about Engagement and Retention more than one-time Task success. Pick the categories that map to your product's actual user behavior.

## Common applications

**Onboarding redesign:** Adoption metrics tell you how many new users complete the first key action. Happiness tells you how the onboarding feels. Task success tells you whether they're achieving what they came for. All three matter for evaluating a new onboarding flow.

**Feature launch:** Engagement metrics show whether the feature is being used. Adoption shows how broadly. Retention shows whether use sustains over time.

**Site / app redesign:** Pair Task success (can users still complete key flows?) with Happiness (do they like the new experience?) to evaluate launch impact.

### Related on RGM

- [North Star Metric](/learn/frameworks/north-star-metric/) — pairs with HEART (NSM is the one number; HEART is the diagnostic layer).
- [Voice of Customer](/learn/frameworks/voice-of-customer-voc-research/) — feeds Happiness measurement.
- [Data scaling stages](/learn/frameworks/data-scaling-stages/) — the instrumentation prerequisite.

Sources & further reading

1. Rodden, K., Hutchinson, H., & Fu, X. (2010). "Measuring the User Experience on a Large Scale: User-Centered Metrics for Web Applications." *CHI 2010*.
2. Google UX Research publications on HEART framework.
3. Nielsen Norman Group writeups on HEART — [nngroup.com](https://www.nngroup.com)
4. RGM operator notes — HEART implementation in product analytics engagements 2023–2026.
