Build a true growth team that runs effective high-tempo testing.
Develop a methodology that forces your team to organize around growth and properly planned experiments.
For example, when somebody comes up with an idea for an improvement, this should be considered a hypothesis. Before implementing a hypothesis, you need to test it. The process for this would be:
- Outline the hypothesis.
- Summarize an experiment to test it.
- Define what success and failure would look like.
- Identify tasks to run the experiment.
- Outline the timescales for running the experiment.
Define your hypotheses using a standard format, to force the team to specify what you’re changing, how it will affect users, and the impact it could have on business.
Your hypotheses should read: By changing A into B, I can get more prospects to C, and thus increase D. For example: By changing the product filters on the website into a product wizard, we can get prospects to more easily select the right product for them, so increasing sales by at least 10%.
For example, the metrics for the example above would be a 10% increase in sales of the product.
This ensures everybody is brought into the hypotheses and the measurements of success. That results in everybody agreeing on the outcome.
For example, having your data analysts leading pricing tests, product owners driving feature experiments, and everyone collaborating to make each test a success.
For example, have your data analysts teach the team how to better integrate and use data.