Hypotheses are a common practice in product development. Hypotheses are what allow teams to test their assumptions and validate their ideas.before investing significant resources.In this article, we will discuss the common practice of developing hypotheses in product development and how this approach can provide greater security when making strategic decisions.
The value proposition and market analysis
In general, hypotheses can be classified mainly into two types: problem hypothesis and solution hypoth”We believe we are experiencing low new signups because users are having difficulty setting up their accounts because the current process is so complex.”esis . Let’s get to know each of them.
Problem hypothesis
Problem hypothesis focuses on identifying and validating. A specific problem or need of users Your writing should be formulated. To verify whether there is in fact a problem. In the solution that needs to be solved and whether. This problem is in line with the business objectives. To be included in the team’s development pipeline. Since the goal of problem hypothesis is to understand the relevance of a given situation to users, these assumptions tend to arise from observations, feedback, or qualitative data collected during initial research.Consider, for example, a context in which the number of new accounts registered in a personal development application is low. It is possible to write the following hypothesis.
Phone number library is a database where you phone number library can find a list of new phone numbers. By this anyone can buy phone number and start business quickly. If anyone wants to improve his business then he can purchase this database.
Note that the structure is divided into three moments:
the situation that was observed: we have low new registrations the possible problem that generates the observed situation: users are having social media advertising why it’s essential difficulties in setting up their accountsthe reason why the problem happens: because the current process is too complex.New call to actionHypothesis solution
The solution hypothesis is formulated to test whether the proposed solution effectively solves the problem and improves the user experience.
Once the problem hypothesis has been written
Because its objective is validation it arises from collaborative work sessions, such as brainstorms, or from data analysis. Its focus is on identifying the best practices to solve the problem.Consider the same problem above, of the low number of new user registrations in the personal development app.
and it has been established that there is indeed bold data need to simplify the registration process, it is time to think of solutions. Thus, it is possible to write the following hypothesis:
If we add an account registrationbutton to the home page, then the number of new user registrations will increase because access to registration will be easier and less confusing.”
proposed change from the test adding an account registration
result that can be measured: the number of new registered users will increase rationale of the dependence between the change and the result: access to the registry will be easier and less confusing.That is, hypothesis writing provides a framework for exploring and validating assumptions about problems and solutions. This allows product teams to operate with greater agility and precision, aligning development with real user needs and strategic business objectives. However, for them to be effective, it is necessary to write good hypotheses. Below are some tips for writing hypotheses.
Step by step: writing hypotheses
Although there is no specific model, writing hypotheses allows you to develop an experimentation mindset and guide the product innovation process.One of the primary factors in developing hypotheses is the creation of testable assumptions that guide the validation and experimentation process.
To write good hypotheses consider the following tips
Define the problem: Be clear about your problem. Define what needs to be solved and what the focus of your investigation is. Write problem hypotheses that can be proven with data. Think of solutions: A problem can generate several possible solutions, and each solution requires a hypothesis. If you have three possible solutions to your problem, write down three separate hypotheses. The solution is the idea you want to test to solve the problem.
Plan the Experiment: All solutions need to be testable for validation. Therefore, define how the proposal will be tested: will it be an A/B test, a prototype, or a “fake door”? A rapid prototyping approach using minimum viable products (MVP) may be interesting to test the possibilities of solutions.
Know the metrics
Define the success factors and monitor the metrics. In an A/B test, for example, the solution needs to have a higher conversion rate than the control group. Therefore, always have the answer to the questions: “What validates the solution?” and “What invalidates the solution?”
By developing hypotheses, product teams can conduct successful experiments that validate assumptions based on data.This approach allows solutions to be adjusted and optimized before major investments, reducing risks and increasing delivery effectiveness.
Adopting a mindset of continuous experimentation not only improves product quality, but also aligns initiatives with strategic business objectives.Take advantage of the tips presented and start transforming your ideas into measurable results. For more practical frameworks like these, why not join the Tera community?
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