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The Benefits of a KPI-Driven Testing Plan

The process of developing an a/b testing roadmap is vital since it takes you to clearly define your objectives, align with testers, and assess risks and priorities; it is not simply about setting a regular testing schedule. 

It takes a detailed approach, which includes design, analysis, implementation, monitoring, and maintenance. In addition to all these three, the a/b testing team must continually revise their methods, tools, and strategies based on the needs of the project. Often a/b testing teams have a specific way in which they test a particular piece of software and when that method isn’t working they have to adapt or change it. Therefore, a proper a/b testing roadmap should be able to handle changing requirements.

It is critical to have a roadmap since it will help you understand your strategy and processes, risks, resource allocation; therefore, creating an a/b testing plan will lead to a better outcome. When you don’t define the process for a project, you risk not having real evidence of what works. This leads you to make decisions based on hearsay or assumptions rather than data-driven facts.

What is a Well-Defined A/B Testing Roadmap?

A well-defined roadmap should first prioritize the overall goals of a project. Prioritizing the goals makes it easier for a tester to understand where he/she needs help to accomplish his or her tasks. Once a prioritized list is in place, a testing team can proceed to the next step – identify the specific goal that is most important to the current release. In a case where a tester wants to test a particular bug, he/she should know what steps need to be taken to test that particular piece of code. For a/b testing, a well-defined list of the most critical bugs can help prioritize the list and save time for both testers and programmers.

What is a Well-Defined A/B Testing Roadmap?

Testing is usually divided into two types: 

  1. Manual, those that are performed by a person, for example, using a mouse, keyboard, or a pen;
  2. Automated tests, that are executed without any human interaction. 

Each category has its strengths and weaknesses. For example, a/b testing is best done by a person because it requires precise movements of the hands and eyes. However, automated tests are more convenient and cheaper because they are usually pre-programmed to perform certain tasks. Therefore, a/b testing must be split into a specific group with appropriate priority levels.

A well-planned a/b testing roadmap will ensure a coordinated and tested code quality process. It will also allow testers to determine the scope of the project based on their current tasks. In a worst-case scenario, a/b testing can also prevent a team from finishing a certain project because of a lack of sufficient knowledge about the current requirements.

Key Performance Indicators

KPIs, or key performance indicators, are crucial in a/b testing because they measure specific performance-based factors such as conversion rates, visit duration, response rates, page views, bounces, etc. In a/b testing, it is important to measure all of these factors to ensure that a/b testing is successful. To this end, a team can implement a keymap, which is a visual representation of a project’s key KPIs. The mapping should be dynamic so that it adjusts as the project proceeds and the traffic increases or decreases.

A KPI-driven testing process helps a team to understand what types of changes to make as well as the kind of changes that bring about the kinds of results a client wants. These results can be either good (a successful a/b testing) or bad (a failed a/b testing). In addition to determining the kind of result a client wants, a good KPI dashboard can also:

Key Performance Indicators
  • show a team the type of results a/b testing achieved so that an a/b testing roadmap can be developed;
  • serve as a basis for determining the cost of a project since it shows the percentage of cost overruns that come from individual activities or tests;
  • help a team prepare for the next activities and test accordingly. 

Finally, a KPI-driven testing methodology should also determine whether or not to split a test up into separate phases. This will allow a/b testing teams to evaluate the different phases at the same time because they will have the same goals to achieve. The goal of a test is to deliver a system or application with the lowest possible risk/reward ratio.


The roadmap to a/b testing is important because it allows for the early identification of risks, which can help prevent failed tests. Furthermore, since no two projects are exactly alike, the roadmap should be generated on an individual basis. Thus, when creating a project roadmap for a/b testing, you must look at all of your current in-house resources and expertise to understand what knowledge would be required to implement change. This process will allow you to identify any holes in your knowledge or capabilities so that you can plan accordingly.

Once your resources are identified, you can plot out a timeline of how an a/b test should proceed. The roadmap will allow for the creation of milestones that can be used to gauge if a project is on track or not. Thus, at any time, whether in the middle of a test or during its execution, your team can look at their progress and determine which areas must be improved upon to get back on schedule. Furthermore, it can help prevent issues later on by showing where changes are needed.