How To Ensure Value-Driven Design In Website?

Data-driven web designers put empirical evidence that is, evidence we can directly observe through tests at the forefront of the design process. While prior experience and an innate sense of design can play a role in the process, these come second to insights gleaned from user data.

Value-driven design in website

Identify the area of ​​focus

The first step in our data-driven design method is to find the aspect of your website that you want to create or change. Tools like Google Analytics, a reporting plugin, or a native CMS/CRM reporting dashboard can help you answer some of these questions. You can also ask existing users or customers using survey forms, send surveys via email, or review past research to find opportunities to improve the user experience.

Set a goal

After specifying the area you want to optimize, set the goal you want to achieve in the design process. Your first draft of this goal might be something like increase website conversions or reduce bounce rates. While these goals are valid, they represent larger, long-term challenges that consist of smaller goals built up over time and may be difficult to achieve in a single test cycle.

Define your measurements and tests

Quantitative data

Quantitative data is numerical that’s what most people think of when they think of data as it relates to technology. Quantitative results are objective indicators of performance and you can use them to determine whether your goals are being met.

Qualitative data

You might think that quantitative data is enough to get you by, and it might be. However, if you want to understand why users take the actions they do, you need to include qualitative data in your research. Qualitative data is anything that cannot be directly measured with numbers.

Collect data

You’ve planned and planned and it’s finally time to run the tests and collect the data you need. If you haven’t already considered the number of participants in your user tests, now is a good time to do so. The ideal sample size will vary based on your time and budget.

Review and present results

A visual representation of development has more power than a simple table of numbers with the same information. For more objective results, consider performing statistical significance tests. You can choose to save any conclusions for a set amount of time, say after a month of running the tests.

Conclusion

Your product will change and your brand will change, your design preferences and your users preferences will change. As your business, users and the Internet evolve, you’ll be able to draw solutions from a data-driven approach.