Introduction
To improve Cars24's car valuation algorithm for more precise and competitive offers, we need to analyze our current approach, identify key pain points, and develop innovative solutions. I'll outline a comprehensive strategy to enhance our algorithm's accuracy and competitiveness in the used car market.
Step 1
Clarifying Questions (5 mins)
Why it matters: Determines the baseline for improvement and helps identify specific areas of focus. Expected answer: 80% accuracy rate with 70% user satisfaction. Impact on approach: Would focus on improving accuracy first if it's below industry standards.
Why it matters: Helps understand if the valuation is the primary bottleneck in the sales funnel. Expected answer: 40% conversion rate from valuation to sale. Impact on approach: Low conversion might indicate need for more competitive pricing or better user trust.
Why it matters: Determines if we need to focus on competitiveness or if there are other factors affecting our performance. Expected answer: Slightly lower than market average to ensure quick inventory turnover. Impact on approach: Might need to balance between competitive pricing and maintaining profit margins.
Why it matters: Helps identify if we need to adjust our algorithm to account for new market realities. Expected answer: Recent chip shortage has increased used car values by 20% in the past year. Impact on approach: Would need to ensure our algorithm can quickly adapt to rapid market changes.
Tip
At this point, I'd like to take a 1-minute break to organize my thoughts before diving into the next step.
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