Measuring Product Design Success Using the HEART Framework

When designing a product, we naturally hope to achieve the goals we've set. However, it cannot be judged by subjective or personal opinion, since the success rate of a product is derived from data.



3 years ago | 1 min read

As product designers, obviously, we want the objectives we've planned to be met. Nevertheless, it cannot be viewed from a perspective of subjectivity or relative values since the success rate is based on numbers.

But the big question is, how do you measure the success of a Product Design?

But first, let's get to know about the HEART Framework❤️

— What is HEART?
HEART is a framework designed by Google to measure a matrix or a design's success.

HEART stands for Happiness, Engagement, Adoption, Retention, and Task Success.

‘Should I use them all?!’ - Certainly not.
This framework has no standard, so we don't have to use all of them and just adapt to our needs.

Don't get confused, bro
Don't get confused, bro

#H — Happiness😄

Happiness can be defined as user satisfaction.
For example, we see through ratings or user feedback on an application. Whether it's through the Playstore, Appstore, and others

#E — Engagement😍

The level of user intensity can describe engagement itself in using the product.
Examples of cases are if we order food through the application, how often do we order food using the application, or even open the application just because we are bored *lol.

#A — Adoption🤩

It is easy to illustrate with the implementation of new features.
For example, when we create a new feature in an app, we can calculate it from how many registered users use it.

#R — Retention😤

We can measure retention by how we retain users.
’What's to retain?’ We can maintain the number of registered users to return to our application or stay with our application.

#T — Task Success🥳

With all the features that we have created, we can measure the success rate of an element.
When a user has a problem, and we provide a feature to solve their problem. Then we can calculate it from how many users have used the part so that their problem is solved.

Last but not least, I want to remind you that when we create a product, we must refer to data, not just subjective assumptions.
Because you need to validate a product first whether it is really needed by the user or only a whim of ours ~.


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