Urban Company's service completion rate has fallen by 18% in Bengaluru

Urban Company

Product Case Study

Identify the nature of the problem:

Firstly, I'd try to understand when this drop started. Was it a sudden drop or a gradual decline over time? Identifying the timeline will help in correlating the problem with any internal or external changes/events.

Segmentation of the problem:

I'd analyze whether this issue is spread across all services or specific to certain ones. Also, I would segment the data by customer type (new vs. repeat), time of day, type of service requested, individual service professionals, and location within Bengaluru, to understand if the drop is specific to any segment.

Analyze internal factors:

  1. Product changes: Was there any recent update or bug in our application that might have made service completion harder?
  2. Operational issues: Any issues with the service professionals? Are they facing difficulties in reaching the locations on time?
  3. Policy changes: Have there been any recent changes in our company policies that might be affecting the service completion rate?

Analyze external factors:

  1. Competitor activities: Has a new competitor entered the market? Or has an existing competitor rolled out a similar service or offer?
  2. Regulations: Are there any new local regulations or restrictions that are impacting service completion?
  3. Market events: Any major events or holidays that could affect the service completion rate?

Cross-Reference with Other KPIs:

Are there any other metrics that are also showing significant changes? For instance, has there been an increase in the cancellation rate or customer complaints?

Collaborate with Other Teams:

I'd work closely with teams like Customer Service, Operations, Tech, and Marketing to gain additional insights into potential reasons for the drop. They might have field-level information that can help pinpoint the issues.

Hypothesize and Test:

Based on all the collected data and insights, I'd form a hypothesis about the root cause(s) of the drop. Then, I'd design some tests or experiments to verify these hypotheses.

Take Action and Monitor:

Upon confirming the root cause(s), I'd prioritize and take action. This could be fixing bugs, changing a feature, retraining service professionals, or adjusting operational procedures. After implementing the changes, it's essential to closely monitor the service completion rate and other related metrics to ensure that the situation improves.

Browse Related Product Case Studies

Come For the Content
Stay For the Community