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Jean John

Product Management.

Jean John is the Lead Product Manager at Careem, a prominent ride-hailing and delivery service based in Dubai. With over 12 years of experience in technology, he has spent more than 8.5 years specializing in mobility product management, which is supported by a solid foundation in computer science.12

Before his current role, Jean served as a Senior Product Manager at Careem, where he contributed significantly to various product initiatives.23 His expertise lies in user engagement and acquisition, focusing on creating reliable and efficient solutions within the company.4

In addition to his professional experience, Jean is recognized for his problem-solving skills and enthusiasm for product development, continually seeking opportunities to learn and grow in his field.4

Highlights

May 23 · linkedin

🚀 Experimentation in the product world is essential, but it's crucial to design and interpret experiments effectively to maximize their impact.

Here are some pointers that can help you or someone you know:

1️⃣ Conduct thorough research: Utilize both quantitative and qualitative insights🔬 to formulate a clear hypothesis before conducting experiments. Remember, not everything that's possible is plausible. Focus on plausible hypotheses that are based on reliable insights for more meaningful results.

2️⃣ Select relevant metrics: Measure metrics that are closely associated with the specific change you are testing. Avoid testing the impact on outcome metrics📊 that are not directly related to your feature.

3️⃣ Optimize experiment duration: Instead of setting an arbitrary duration⏱️, aim for at least 80% power to detect the minimum effect size you are interested in. Adjust the minimum detectable effect (MDE) based on the expected impact of your new features to avoid extended durations for trivial effects. Often, PMs set a duration of two weeks for their experiments and then conclude that the results are not statistically significant. However, it's important to note that this short duration may not be sufficient to draw reliable conclusions. Statistical significance is influenced not only by the effect size but also by the sample size and variability of the data.

4️⃣ Define success criteria: Clearly define what success🎯 looks like for your experiment before you start. Determine the specific metrics or thresholds that indicate a successful outcome. This helps you stay focused on the desired outcomes and prevents bias in interpreting the results.

5️⃣ Choose the appropriate experiment type: Familiarize📚 yourself with various experiment types such as A/B, switchback, factorial and others. Select the one that aligns best with your specific objectives.

6️⃣ Analyze and interpret results comprehensively: If your results are not statistically significant, don't merely dismiss 🚫🗑️ them. Instead, report the observed delta, assess the p-value and its significance relative to the conventional threshold of 0.05. Consider the confidence interval as well. Even if the effect is small, you can decide whether to proceed with launching if you observe a positive impact. If the impact is negative, leverage your domain knowledge in conjunction with the experiment results to understand potential causes.

Continuous improvement in experimentation practices empowers product managers to derive meaningful insights and make data-driven decisions. Let's unlock the full potential of experiments!💪

#productmanagement #experimentation #datadrivendecisions

Nov 10 · linkedin

We are hiring for a Senior Product Manager to lead our Ride Hail Matching squad under the leadership of Andrey Pavlov and Saket Ahuja. Experience in building products for two-sided or three-sided matching domain is a must. You get to work in a fast paced environment, solve complex problems and perhaps do one of the most meaningful and challenging works of your career. Come join us!

Reach out to Andrey/Saket, if you are interested. #hiring #productmanagement

Related Questions

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Jean John
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Location

Dubai, United Arab Emirates