In this piece, we’ll dive into the topic of measuring design debt. I’ll walk you through the qualitative and quantitative measurements and share how to put them into practice based on my experiences. You’ll benefit from this article the most if you find yourself struggling to pay off design debt in your organization or getting buy-in for this initiative. Enjoy!
Every product, purposefully or not, starts with design. This is when the domino effect of both good and bad events begins.
Measuring design debt requires a lot of resources. In addition, the process needs to happen in a perpetual state to understand the full context, guide in the right direction and help achieve the desired outcomes. It’s natural to ask: what’s the purpose of all that effort? Here are the main reasons why measuring design debt is necessary:
Having common understanding about design debt and finding out how much of it your organisation has accumulated over time is necessary to make decisions now and objectively assess any initiatives in the future.
Making it clear where your company is currently is a good first step to define and measure the goals.
For the short-term planning, take all the trade-offs into consideration.
List all the work that will not happen because of paying off the design debt and see how it affects your contribution to the company goals. You’ll probably need to adjust the scope of design-debt-related work to still be able to deliver urgent projects.
You need to determine if paying off design debt has as much of a positive impact on the product and the organization as you’ve foreseen initially.
If effects are misaligned with your projections, it’s a signal to course correct.
This will inform your decisions about how much design debt you can take on and use consciously to your advantage in the future.
Reading the signals, gathering data, analyzing it over time and finding your limits are necessary to truly assess the design debt. This process takes some experimentation and experience to establish. It is also unique for each product and organization.
I’ll distinguish between the qualitative and quantitative methods of performing design debt measurement. They are both important but serve different purposes:
Qualitative measurement focuses on gathering non-numerical information that let you:
The most effective methods of performing qualitative measurement differ depending on the type of design debt:
This type of debt has a direct connection to the business goals because of its impact on adoption rate, discoverability and general customer satisfaction.
How: gathering primary and secondary user feedback
There is a lot of value in side topics, especially if users bring them up unprompted!
In order not to lose track of the additional discoveries, create a process of cataloging, sharing and reviewing them with your team. If possible, point out the connection to ongoing discussions and projects.
Tools like GitHub or Productboard come useful for storing insights from usability tests and prioritize problems based on how validated they are. The important thing is to ensure visibility for team members, especially other Designers and PMs.
Analyzing visual inconsistencies in the product requires a cross-team effort to get complete and credible results.
How: design and engineering evaluation, subtle signals from users
Tracking visual inconsistencies is done best by people who are the closest to the product.
Design and engineering should collaborate on analyzing visual discrepancies. Based on their work, produce a comprehensive report and use it to prioritize. Focus on the most problematic and the most impactful areas first. Keep the report up-to-date to measure the volume of visual debt over time and track the progress of your work.
Understanding the shortcomings of underlying structure and processes requires listening to your team carefully, gathering feedback about design organization within your company and, if you are a manager, noticing clues from your reports during 1on1s.
How: surveys, interviews, 1on1s
All of the above should be provided in two contexts: internal for the design team and external for the design-engineering-product group.
It’s time to focus on gathering numerical data. As...
there is no single unit to express the amount of design debt,
the quantitative measurement is based on a group of metrics affected by and connected to it.
Please, note that I perceive the quantitative methods as secondary. Their analysis should be heavily informed by the context gained during the qualitative research.
How: observe key metrics
You can analyze metrics like DAU and MAU (daily/monthly active users), bounce rate, customer retention rate, NPS (Net Promoter Score), CSAT (Customer Satisfaction Score), to name a few. See the list of UX metrics & KPIs to choose the most suitable ones for your case.
Trends and changes in data can tell you a lot about the current state of the app’s UX. In order to spot areas suffering from design debt, put this knowledge in the context of the historical background of your product:
The first method that usually comes up when teams try to quantify the visual inconsistencies across the product is to create a thorough interface inventory of each page or flow: calculate the percentage of visual misalignment going page-by-page or component-by-component. It can be useful but, in many cases, percentages may be hard to relate to, especially given that they are usually based on a rough estimate of page real estate and that visually inconsistent elements can be used across many pages.
Instead, it’s better to focus on the most prominent quantifiable symptom of the visual design debt: time spent on ensuring visual design quality.
How: measure additional time spent on design QA
Track time spent on:
If your team doesn’t use time tracking software, you’ll need to ask designers and engineers to provide a perceived percentage to gather this data. It will not be as accurate but it will give you a fairly good understanding of the problem. If your organization uses a time tracking tool, you can add ‘visual QA’ to the project to distinguish it from other activities, especially the UX and code reviews.
To make it easier for your team to provide information, limit your research to 2–3 big projects only. Inform both designers and engineers about the need to track visual QA in advance.
To measure operational design debt, you need to examine both internal and external processes that engage the design team.
instead of solving actual design problems.
To understand the scale of the issue, track time spent on preparation vs. core activities in each project.
As previously, you may need to ask your team to give the perceived percentage. When preparation exceeds 3%, it’s a red flag.
If those problems delay your delivery by causing a significant difference between the estimated and actual time needed for the project, the operational design debt is probably a problem in your team.
Reducing design debt does not guarantee the success of the product, it only betters the chances of avoiding failure.
Acknowledge what are your company goals to properly balance paying off design debt and working on other projects.
It’s important to distinguish badly designed experiences and processes from actual design debt.
Always look for the root cause of the problem. Dig deeper: cross-reference the issues, gain an understanding of changes introduced to the business and product over time, to find the actual cause.
Understanding and measuring design debt is an ongoing process that gives the most value when continued over a long period of time. The initial examination shows the current state and gives a hint about what actions need to be taken to better the situation. It’s already a big contribution.
The positive effect on the product and organization grows exponentially when the work doesn’t stop. There is a chance of gaining a better understanding of the design debt’s impact on the product and the team. The strategy can be positively influenced by this knowledge and lead to better results overall.