This is a hands-on course to learn how to conduct user in-depth interviews and generate effective data through synthesis. It's very powerful for product team, or any team that wants to create business value by knowing more about the users than your competitors do.
#EffectiveResearchQuestions #NoteRight
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In our project aimed at reducing churn on the ride-sharing platform, we initially believed that offering incentives would effectively retain drivers, based on the quantitative data that monetary rewards were the primary factor. However, the results were disappointing.
Recognizing the needs for deeper insights, we conducted in-depth interviews with drivers. This revealed the true reasons behind their churn: it wasn't about the amount of money; it was about the predictability of their payments. Frequent adjustments to the incentive structure created mental stress and uncertainty, making drivers anxious about potential fluctuations in their earnings.
This understanding prompted us to redesign our payment frequency and predictability to enhance driver satisfaction and increase retention.
user reseaerch conducted
driving measurable value
average NPS score
*Maximum 24 people