🎨 How to Read User Minds with Data: A Complete Guide to the HEART Framework

Jun 15, 2026

—

Hello! Today, I’d like to introduce the HEART Framework, which helps measure service success not just by numbers, but from the perspective of ‘User Experience (UX)’. If you invest just 10 minutes to read this article to the end, you’ll gain insights you can immediately apply to your projects. 😊

Planners or developers who feel lost between data analysis and UX design often encounter the question, ‘Is our service truly providing a good experience to users?’ It’s difficult to find the answer with just visitor numbers or click-through rates.

Today, we’ll delve into the HEART Framework, a magical tool devised by Google researchers to measure user experience with data. 🚀

1. What is the HEART Framework? 🤔

The HEART Framework is a metric system developed by Google’s UX Research Team (Kerry Rodden et al.). It was created to quantitatively measure the quality of user experience in large-scale software services.

While traditional data analysis focused on technical metrics like ‘page views’ or ‘session time,’ HEART focuses on ‘What do users feel and how do they behave when using our service?’

2. The 5 Core Elements of HEART 🖐️

The name HEART is an acronym for the first letters of the five categories below. Shall we take a closer look at each one?

① Happiness (Happiness) 😊

Measures how satisfied users are with the service. This is primarily an indicator for understanding subjective attitudes.

What does it measure?: User satisfaction, ease of use, visual appeal, willingness to recommend, etc.
Collection Methods: In-app surveys, NPS (Net Promoter Score), user interviews.
Example: Score for the question, “Would you recommend this app to a friend?”

② Engagement (Engagement) 📈

Measures how often and how deeply users interact with the service.

What does it measure?: Usage frequency, number of interactions per session, usage of specific features.
Collection Methods: Log analysis (e.g., average visits per person per week).
Caution: The key is not just total visitors, but ‘how actively individual users are engaging’.

③ Adoption (Adoption) ✨

Refers to the rate at which new users start using a service, or existing users first use a new feature.

What does it measure?: Number of new sign-ups, click-through rate for new features after a specific update, profile completion rate.
Example: “What percentage of users who signed up last month have uploaded a profile picture?”

④ Retention (Retention) 🔄

Measures whether existing users continue to use the service after a certain period. It is one of the most important indicators of service sustainability.

What does it measure?: Churn Rate, re-visit rate, paid subscription renewal rate.
Example: “What percentage of people who installed the app today are still running it a week later?”

⑤ Task Success (Task Success) ✅

Measures how easily and quickly users achieve their desired goals. This is particularly important for tool-centric services or when evaluating the efficiency of specific features.

What does it measure?: Task completion rate, task execution time, error rate.
Example: “Time taken to complete payment on the payment page” or “Percentage of users who left without finding what they wanted in search results”.

3. 3 Steps to Apply HEART in Practice: The GSM Process 🛠️

Simply listing the HEART framework is not enough. To transform it into concrete metrics, Google recommends using the GSM (Goals-Signals-Metrics) process alongside it.


Step	Description	Example Question

—	—	—
1. Goals	The ultimate goal to be achieved through the product/feature	“I want users to find the information they want quickly through the search function.”
2. Signals	User behaviors that indicate the goal has been achieved	“Clicking on the top list of search results.”
3. Metrics	Specific data that quantifies the signals	“Average time (seconds) taken to click the first result after searching.”

—

4. Why Use the HEART Framework? 💡

Align Team Goals: Planners, designers, and developers can define service success using the same criteria.
Data-Driven Decision Making: Instead of subjective opinions like ‘I think the design is pretty,’ you can provide objective evidence like ‘Happiness score increased by 20%.’
Identify Problem Areas: If many users are joining (Adoption) but leaving quickly (Retention), you can immediately identify where the problem lies.

5. Points to Note ⚠️

Not all services need to use all five of these metrics.

For a search engine, Task Success would likely be the most important.
For an SNS, Engagement and Retention would be key metrics.
It’s important to choose and focus on metrics that suit the nature of your service.

🌟 Conclusion

The HEART Framework is not just a checklist; it’s an effort to understand the user’s mind through numbers. Try applying at least one item to your service right now. You’ll start hearing the user’s voice hidden in the data! 🎧

We hope your service captures the ‘HEART’ of your users! 💖