From hypothesis to requirement m · Sergey Sukharevsky

Requirements are useful when explaining the desired behavior and boundaries of the solution, rather than pre-dictating all the details of the implementation. Keep each requirement linked to the user scenario, risk, or business rule so the team can simplify the solution without losing the goal.

Briefly: What is the path from hypothesis to requirement m

Why the process

The path from hypothesis to requirement is a way to turn a value proposition for the user into specific design tasks. It is important to travel this route quickly and without distortion. If you lose the chain, you get functionality for the sake of functionality, not a solution for the client.

How does it relate to delivery?

In delivery teams, it is important not only to come up with and test a hypothesis, but also to correctly convey to the development information about why and for whom a particular functionality is needed. This reduces the number of bugs, speeds up delivery and minimizes recycling.

Example in practice

There is a hypothesis: a timely reminder will reduce the number of missed payments. The research shows that channel and time depend on the type of commitment and user preferences. The requirement therefore involves managing notifications, sending rules and measuring the actual payment, not just the delivery of a push message.

Steps of the process: from idea to requirements

Formation and testing of a hypothesis

Delivery usually starts with a business problem or metric (e.g., a churn rate above x%). A hypothesis is formed - what will change if you implement a specific feature.

To make the hypothesis work, use a template:

If it is the case, then it is the case because it is the case.

Example

If you add automatic recommendations during the order process, the average check will increase, because 30% of users do not notice related products.

Qualifications and evaluation

Express verification is carried out: data, user interviews, fast MVP tests. Then the decision is whether to invest in the development of requirements or leave the idea.

Mistake.

Immediately go into writing requirements without a short hypothesis test. As a result, no one needs a feature - the sprint is wasted.

Formalization of requirements

When the hypothesis is confirmed, it is converted into User Story, Acceptance Criteria and technical requirements. The main task is to remove ambiguity. The team needs to see what success looks like.

** Structure of requirements:**

User Story: What Users Should Get or Do
Acceptance Criteria: How to know that the task is completed
Restrictions: What to leave (design, platforms, dependencies)

Example

Hypothesis: push notifications will improve onboarding. Requirement: push comes within 5 minutes of registration, contains a trigger word, and is displayed on all supported Android devices.

Development and feedback

Delivery-team discusses requirements with the development, clarifies incomprehensible places, fixes the level of completion.

After release, it is important to check whether the intended effect is achieved. If not, quickly swing the reverse cycle: refining the hypothesis - clarifying the requirements - new delivery.

Anti-patterns and traps

Step-jumping

Even if “it’s clear,” document the hypothesis and criteria for success. Skipping the evaluation step leads to a feature-krast.

Insufficient communication with metrics

Formulate the hypothesis through the metric (delayed registration, increase retention, ARPU). Without this, it is difficult to assess the real result after the release.

Requirements without context

Often the task is to make a button. The developer does not understand: what is considered a success? What priority? You have to go back and find out the details after the work is done.

Example

The platform asked to implement the “Recommend Friends” button, but did not add restrictions - as a result, the link did not work for unauthorized users. A mistake that could have been avoided if the requirement included this condition.

How not to lose quality at every stage

Techniques

UX Analytics: Prototypes, Quick User Tests
Cross-checking requirements: who writes, he does not say
Use of User Story and Acceptance Criteria templates (see Atlassian guide)

Working with the team

Ensure the participation of the analyst, tester and design specialist at the stage of fixing the requirements. Usually the discussion takes 1-2 stand-up, if the preliminary documentation is prepared clearly.

Example

Before the release of the new form in the personal account conducted a test – revealed that some users do not see the button “Continue”. The requirement has been adjusted to increase the size of the button and add shadow on mobile. Side effect – the number of appeals in support has decreased.

References and materials for study

Questions of claims

**What to do with ideas when you don’t have time to work hard? Use rapid assessment: short customer interview, fast quants or analysis of available data. Make it in the backlog without elaborated requirements, but with the formula of the hypothesis through the metric.

What is the minimum requirement structure for transfer to development? User Story, Acceptance Criteria, limitations or assumptions, basic use cases.

**Do I need to describe a user story if the task is obvious? Be sure to record even simple scenarios. This reduces the number of returns and disputes after release.

**What are the main mistakes in the transition from hypothesis to requirement? The lack of validation of the hypothesis, requirements without metrics, overcomplicating documentation, ignoring the feedback of developers.

**How can quality assurance be integrated into this process? Involve QA in the requirements collection phase. Use custom script templates and completion criteria.

**Where to find best practices and standards for documenting requirements? **
Look at the examples of Atlassian and Mind the Product – there are regularly updated and discussed modern approaches.