How do you learn from your experiment results?

If you clarify your hypothesis, take a step back, and examine how others have solved the given or similar problems. Research at least 200 companies in the relevant sector using tools such as Crunchbase, LinkedIn, F6S, Similarweb, etc. Most likely, your competitors have already conducted numerous experiments. Draw conclusions from their experiences, understanding which experiments they abandoned and why. This will enable you to choose THE RIGHT DIRECTION for your own experiments.

In my experience, having a look at what your competitors have done always gives you clarity. Tons of data is available to compare with. Begin by collecting relevant data from tests, such as app user behavior, engagement rates, conversion metrics, or any other relevant key performance indicators (KPIs). This data is meticulously analyzed to uncover trends, patterns, and insights that provide a clear picture of how the product is being used by consumers.

It's good to start with a hypothesis, but, in my experience this comes to life with action. You should consider connecting with industry experts and potential clients to use as a sounding board. You will typically find that you will iterate on your idea several times through feedback and experiences.

A/B testing is typically used to compare different versions of our product or features. We can accurately analyze the impact of certain modifications by conducting controlled experiments. If one version outperforms the other, we investigate further to see why. Based on these data, we iterate to improve our product and provide a better user experience. It is critical that we listen to our customers. We aggressively solicit feedback through questionnaires, reviews, and face-to-face conversations. User feedback frequently reveals pain problems, feature requests, and suggestions that we had not previously considered. Engaging with our users allows us to better match our product roadmap to their requirements and preferences.

Your methodology is key to demonstrating your axiomatic position. Indeed it puts you in the proper framework to accurately assess and analyse your objectives. Finally, your methods define the results you get using multiple strategies to evaluate your objectives

Yes. Don't sit on your results. Keep in mind taht you are not the only one who is running the same experiment at the same time. So, the faster you test the results of your experiment in real life - the better. It provides a reliable leverage you can use in the future. Remember, there can never be two of anything "first to market".

Learning from experiment outcomes boils down to being open-minded, data-driven, and adaptable. It's a never-ending cycle in which each trial acts as a stepping stone towards improving our product, increasing user pleasure, and reaching our larger ambitions.

Experiment outcomes learning is not limited to a single department. We encourage a collaborative atmosphere in which experiment insights are shared across teams ranging from product development and marketing to customer service and sales. This multidisciplinary approach guarantees that everyone knows the consequences of the findings and has a say in decision-making.