• The Pixel Team

Lean UX in action: an iterative learning process

Updated: Jul 30

Like Lean Startup, Lean UX follows an iterative process of formulating hypotheses and designing solutions that respond to specific problems, to later develop an "MVP” (Minimum Viable Product). This translates into a space for research, learning and innovation for companies, through experimentation and collaboration with real users.

👀 What you need to know about the Lean UX Canvas

To achieve a clear work process, we recommend Lean UX Canvas, a tool that allows focused and multidisciplinary teams to have a common understanding of the problem to be solved.

As in the Lean Startup methodology, the Lean UX Canvas starts with the formulation of objectives, metrics, hypotheses to be validated and experiments to be carried out.

This canvas will help you keep track of the process, of the learning or knowledge generated in each iteration, and to follow an order and maintain alignment within the team.

🚀 If you want to try the Lean UX process

here we share the key questions to ask and some recommendations for when you start working with your team:

1. Identification of the business problem:

What business problems are you trying to solve?

This phase is the definition of the problem. As in any lean methodology, you must understand the importance of spending the correct time only to identify and define the problem or problems to be solved. Avoid jumping to conclusions!

2. Business results:

How will you know that the identified problem was resolved? What is to be measured? What business metrics are related to the problem you are trying to solve, are they qualitative or quantitative?

3. Users:

What type of users or clients should you focus on first? What user groups have this problem? Identify your users and group by similarity and relevance in relation to the problem to be solved.

4. User results and benefits:

Why would users search for your product or service? What benefit would they get from using it? Try to identify qualitative and / or quantitative metrics that help measure these results.

5. Solutions:

What can we do to solve our business problem and meet user needs at the same time? Analyze the most important and easiest solutions to execute in a short time, the most feasible according to the needs of your business.

6. Hypothesis:

Combine quadrants 2, 3, 4, and 5 in the following hypothesis statement:

"We believe that [🚀business outcome] will be achieved if [👤the user] attains [❤benefit] with [📱functionality]."

Important: Each hypothesis must focus on a single functionality.

7. What is the most important thing to learn first?

For each hypothesis in quadrant 6, identify the highest risk assumptions. Then determine the riskiest to do right now.

8. What is the least amount of work we need to do to learn something VERY IMPORTANT? (Our favorite part👯‍♀️!!!)

Design experiments to learn as quickly as possible if the riskiest hypothesis is true or false.

Use this graph to understand the relationship between the different quadrants with respect to business and users, and the key questions to consider:

Are you ready for the first iteration with the Lean UX canvas?

➡️ Download the canvas

If it is still not very clear how to apply the Lean UX method, we share the case study of Hotjar, Behavioral Analytics company, current leader in UX Research, where they share the 3 key steps or phases to be taken into account within the "customer centric" observation process for the correct definition of hypotheses and objectives.

This phases are:

💡 Thinking Phase: Brainstorm possible areas for improvement based on customer feedback, customer research, competitor comparisons, and observation of the product in use. Once the key conclusions of each point have been compiled, you will be able to define the problem more clearly and detect the most important areas for improvement to work on.

🎬 "Action phase": Key moment for designers and programmers to make a small sample of a product with which to start experimenting.

👩‍🔬 Analysis phase ”: Moment where experiments begin, using tools such as surveys or A / B tests, to name a few examples, to determine if the hypothesis was correct. If the key objectives are met, then it is appropriate to include it as a new design. If the customer experience does not improve, you return to the thinking phase to perform another experiment again.

If you have liked what you have read and you think that it is worth a little more information, contact us, we will be more than happy to solve any problem. I don't know if we've told you before, but we are experts solving problems 🤓.

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