Introduction
To improve Gojek Tech's GoRide service and reduce wait times during peak hours, we need to analyze the current user experience, identify pain points, and develop innovative solutions. I'll approach this challenge by examining user segments, analyzing pain points, generating solutions, and proposing metrics for success.
Step 1
Clarifying Questions
Why it matters: This helps quantify the problem and set benchmarks for improvement. Expected answer: Peak hour wait times are 2-3 times longer than off-peak, averaging 15-20 minutes. Impact on approach: If the difference is significant, we'll focus on peak-specific solutions; if not, we'll look at overall system efficiency.
Why it matters: This informs whether we should prioritize pre-booking features or real-time matching algorithms. Expected answer: 30% pre-booked, 70% on-demand during peak hours. Impact on approach: A high percentage of on-demand bookings would lead us to focus on real-time supply-demand balancing.
Why it matters: This helps us understand if the issue is unique to GoRide or an industry-wide challenge. Expected answer: GoRide has a 40% market share, with wait times slightly higher than the nearest competitor. Impact on approach: If GoRide is underperforming compared to competitors, we'll need to look at industry best practices and differentiation strategies.
Why it matters: This ensures our solutions align with the company's strategic goals. Expected answer: KPIs include ride completion rate, average wait time, and driver utilization rate. Impact on approach: We'll tailor our solutions to directly impact these KPIs, prioritizing those with the highest strategic importance.
Now that we've gathered this crucial information, let's take a minute to organize our thoughts before moving on to user segmentation.
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