Adopting the Lean UX approach for product development means that you should not invest excessive effort in the initial design iteration as the benefits of such an endeavour would be minimal. Indeed, it is far more effective to create a product with a minimal feature set based on the available assumptions and begin collecting user feedback as soon as possible.
Scope creep, change requests, and stale research can all lead to significant inefficiencies and waste during the design cycle, which typically involves gathering user requirements, researching, and documenting. When these issues arise, teams can find themselves having to start from the beginning, resulting in a considerable amount of time and effort being wasted. Lean UX can help to mitigate these risks and ensure that the design process is as efficient as possible.
Lean UX includes the following procedures:
- Create hypotheses and assumptions.
- Planning and Development of a Minimum Viable Product in Collaboration
- Repetition; iteration.
Lean UX Assumptions and Hypothesis
In contrast to the traditional user experience (UX) process of initially identifying and recording user problems before beginning development of the project, Lean UX has a few key differences. Rather than determining concrete criteria, assumptions are drawn from the issue description to create testable hypotheses.
For example, we anticipate that streamlining the enrollment process for mobile users will result in a greater number of individuals fully completing it. If we can demonstrate a 30 percent improvement in the current rate of completion, we will have successfully demonstrated the efficacy of our proposal.
In this paper, we seek to detail the implications of a particular belief, and explore the individuals who are most directly affected by it. Our ultimate objective is to provide evidence to support our assertions.
Creating a Prototype (MVP)
The development of a Minimum Viable Product (MVP) involves constructing key principles of the product that are thought to be effective, assessing them, incorporating the concepts that pass the assessments, and discarding the concepts that do not meet the desired criteria. This process is designed to provide a foundation for the product that is both efficient and effective.
In this situation, heroism is not required; it is anticipated that a considerable proportion of your ideas and concepts will likely be unsuccessful when tested. Lean UX encourages designers to rapidly progress to the next concept.
Low-fidelity, user-interactive prototypes with several displays for accomplishing a task are one possibility.
In many cases, there are many methods to test whether a feature is producing the desired results once it has been implemented as an MVP.
The Following Are some Examples of these:
Observation – By watching people as they use a product, you may get a feel for the environment and routines in which they’re using it.
Analytical methods for use – Fullstory and GA are examples of analytics built directly into apps by Lean-Agile teams to aid in the validation of early use cases.
Using the A/B Method for Testing A/B Testing (also known as split testing) is a process used to determine the relative success of two different versions of a website. It involves using mockups, prototypes, or fully implemented stacks to compare the alternatives, and then launching each variant to a targeted group of users over a certain period of time. Through analytics, quantitative results can be collected to provide teams with the insight they need to remodel, modify, rethink, or even abandon a project based solely on qualitative data and user feedback.
Effectiveness of Lean UX includes;
An approach that promotes agile teams and encourages collaborative workflows can result in quicker progress through the design stages. This has the advantage of reducing the amount of time that needs to be allocated for the preparation of materials, thus leading to shorter project durations.
By incorporating user research and testing at the earliest stages of the design process, organisations can make more informed decisions regarding product selection. This methodology is based on an iterative cycle, which involves making assumptions, testing them with users, and then refining the assumptions based on the results. This cycle is repeated until the optimal design and product choices are identified.
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