What are some effective ways to communicate and present your experiment results?

May seem obvious, but your defined metrics also need to be tied to readily available data sources. Its easy to decide conversions is a key metric for your organization. Tracing back to how you define conversions across disparate data sources is the difficult part.

Effective ways to communicate and present experiment results include: crafting eye-catching charts and graphs that even a layman would appreciate, summarizing key findings in a way that doesn't put people to sleep, and tailoring your presentation to your audience's tech-savviness!

Communicating and presenting experiment results effectively is crucial for ensuring that your findings are understood, appreciated, and utilized by your audience. Here are some effective ways to communicate and present your experiment results: - Know Your Audience - Clear and Concise Summary - Storytelling Approach - Use Visuals Effectively - Detailed Methodology - Interactive Elements - Highlight Practical Implications - Use Analogies and Comparisons - Format and Design etc.

Before starting any experiment, I like to do a thorough review of its objective, trigger criteria, intended audience, traffic split, success measures including primary, secondary, guardrail metrics along with a plan of action if the experiment does not hit statistical significance. In my experience, about 60% of the A/B test results will not reach statistical significance so it’s best to be ready with a pov prior to testing to avoid cherry picking the plan after. When presenting the experiment results, I would include the above as background and context which is useful in companies which runs several experiments in any given day.

1) Outline the experiment's goals and methods in straightforward language, grounding your audience in the purpose and process. 2) Use visual aids like charts and graphs to vividly present your findings. 3) Conclude with actionable insights, translating technical results into practical recommendations that resonate with your audience’s real-world challenges and opportunities.

Choosing the right experimental design was crucial for me to obtain valid and reliable results. I considered various designs like A/B testing, multivariate testing, and factorial experiments. Aligning my choice with my research question and available resources helped me isolate the effects of different variables and provided a clear path to actionable insights.

Once I had my design in place, I implemented and ran the experiment. I ensured that the setup was robust and that all variables were controlled as planned. Monitoring the experiment closely allowed me to catch any anomalies early on. Running the experiment for an adequate duration was essential to gather enough data for meaningful analysis.

After collecting the data, I analyzed it to interpret the results. Using statistical methods helped me determine the significance of my findings and understand the impact of different variables. Visualization tools like graphs and charts were invaluable in making sense of complex data and identifying trends and patterns.

When communicating and presenting your results, it is important to have visuals! Start simple and then work your way to the more nuanced and complex findings. If you have lost the audience 1 minute into the presentation then perhaps the whole project success could be limited. Practical suggestions would be to start with an executive, non-technical summary of the project, findings, and results.

In my experience, having a compelling story makes your presentation more memorable beyond simply stating the facts. Know your audience and understand what drives them. Ask yourself why should they care about your results? What will your results do for him/her/them? And just as important, have fun when presenting!

Having a clear intent as you move to communicating and presenting results is also key. Are you trying to convince stakeholders to take action based upon your experiment, or are you simply trying to communicate the broad based results of your experiment? Knowing your intent will help to inform how you design your visualizations in order to story tell with data.

Communicating my experiment results effectively was crucial for influencing decision-making. I tailored my presentation to my audience, using clear and concise language. Visual aids such as charts, graphs, and infographics made my findings more accessible and engaging. Highlighting key insights and actionable recommendations ensured that my audience understood the implications of the results.

For experiments that touch many customers, its best to share the results soon after the launch and at a certain repeated cadence thereafter. I have found success articulating experiment results at 3 levels: (1) Overall level which is usually at the trigger or impressions level, (2) Engagement level, (3) Conversion level. The last 2 levels may not have a comparable control if you are testing a brand-new feature, but it provides relevant insights into how the feature is performing.

Finally, I used the insights gained from my experiment to inform future actions. Reflecting on what worked well and what didn’t helped me iterate on my approach. Continuous learning and iteration have been essential for refining my strategies and achieving better outcomes over time.

When presenting your experiment results, the mantra "learn and iterate" should be your guiding star! Start by clearly defining your objectives and how your experiment addresses them. Use visuals like charts and graphs to make your data digestible and engaging. Summarize your findings succinctly, highlighting key takeaways and how they relate to your initial hypotheses. Don't shy away from discussing what didn't work; these insights are invaluable for learning and future iterations. Finally, propose next steps based on your learnings, encouraging feedback to refine your approach. Remember, effective communication is about clarity, relevance, and the continuous pursuit of improvement.