Itaipu 43 Cuide com os erros comuns do MVP

Summary

This video focuses on prioritizing and testing hypotheses effectively in a business context. It highlights the importance of selecting a few key hypotheses to test, avoiding the temptation to test everything at once. The speaker advises on using MVPs (minimum viable products) for testing, selecting appropriate metrics, and setting realistic goals. Emphasizing the value of learning through experimentation, the video encourages refining goals and metrics as new insights emerge. The overall message is about speeding up the testing process while ensuring tests are well-prioritized and focused on clear outcomes.

Takeaways

• 😀 Prioritize the hypotheses you will test, selecting three to five from the list you created earlier.
• 😀 For each hypothesis, define the MVP (Minimum Viable Product) to be used in the test.
• 😀 Identify the metric that will be used to measure the outcome of the test.
• 😀 Set a goal or target for the test, but remain flexible to adjust it based on the insights gained.
• 😀 Avoid testing too many things at once; focus on testing one hypothesis at a time.
• 😀 Don’t conduct multiple tests for the same hypothesis in parallel without isolating what you're testing.
• 😀 Prioritize and sequence your tests, rather than trying to validate all hypotheses at once.
• 😀 Establish your test goals before starting, but be open to revising them based on what you learn from the tests.
• 😀 It’s important to have humility and adjust your approach as new information comes in from the tests.
• 😀 Testing should be an iterative process, where insights from each test help refine the next.
• 😀 The goal of testing is not to validate all hypotheses at once, but to test effectively and learn from each test.

Q & A

What is the main task in this session?

The main task is to go back to the hypotheses that were listed earlier, select 3 to 5 hypotheses to test, and then define the Minimum Viable Product (MVP), metrics, and goals for each hypothesis.

Why is it important to prioritize which hypotheses to test?

Prioritizing hypotheses is essential because testing too many at once can lead to confusion and inefficiency. Focusing on a smaller number of hypotheses ensures more focused testing and faster results.

What is an MVP and how does it relate to testing hypotheses?

An MVP (Minimum Viable Product) is the simplest version of a product that can be used to test a hypothesis. It helps in gathering data with minimal resources to validate or invalidate assumptions.

What are the common mistakes people make when testing hypotheses?

Common mistakes include testing too many things at once, conducting multiple tests for the same hypothesis without isolating variables, attempting to validate all hypotheses in a single test, and not revisiting goals even if the initial metrics no longer make sense.

What is the recommended approach for testing hypotheses?

The recommended approach is to test one hypothesis at a time, use a single MVP for each test, and sequence tests to ensure that variables are isolated. This approach ensures clarity and better learning from each test.

How should goals be handled during the testing process?

Goals should be set based on what is known at the time, but they must remain flexible. As more data is gathered, it is important to adjust goals to reflect new insights and learnings.

Why is it important to isolate variables when conducting tests?

Isolating variables ensures that the results of a test are directly attributable to the hypothesis being tested. Testing multiple variables simultaneously can make it difficult to understand which factor is influencing the outcome.

What does 'sequencing tests' mean in the context of hypothesis testing?

'Sequencing tests' means conducting tests one after another, with each test focused on a specific aspect of the hypothesis. This ensures better control over the process and helps refine the testing methodology based on results from prior tests.

How can testing help improve the understanding of business metrics?

Testing provides valuable insights that help refine the metrics being used. As hypotheses are tested, the goals and metrics can be adjusted based on the knowledge gained, leading to a more accurate assessment of what works and what doesn’t.

What is the role of humility in the hypothesis testing process?

Humility is important because it allows for the acknowledgment that initial goals and assumptions may not always be correct. Being open to revising goals and strategies based on new insights is crucial to improving the testing process.