Track and analyze the home design services pipeline, focusing on new requests, active projects, completion rates, and design complexity distribution to optimize resource allocation and maintain service quality.
Report Objective
Monitor the weekly performance of our design services pipeline, tracking project volumes, completion rates, and workload distribution to ensure efficient resource allocation and maintain high-quality design deliverables while managing client expectations.
Design Pipeline Flow
Line chart showing weekly trends in new requests, active designs, and completions
Questions to Consider:
How is the volume of new design requests trending week-over-week?
Are we maintaining a healthy ratio of active to completed designs?
What is our current pipeline capacity versus historical averages?
What is the trend in new design requests compared to our capacity?
How well are we managing our active project load?
Are there any concerning gaps between incoming requests and completions?
Project Type Distribution
Bar chart showing distribution of current projects by type and complexity
Questions to Consider:
Which project types are dominating our current pipeline?
How does the complexity mix affect our resource allocation?
Are there seasonal patterns in project type distribution?
Which project types require the most resource allocation?
How does project mix affect our overall pipeline efficiency?
Are we balanced across different project complexities?
Which project types have the longest completion cycles?
How does complexity affect completion time?
Are there opportunities to optimize certain project types?
Quality and Efficiency Metrics
Line chart tracking revision rates and completion times
Questions to Consider:
How are revision rates trending across different project types?
Are we meeting target completion times for each complexity level?
What factors are contributing to variations in completion efficiency?
What is driving changes in revision rates?
Are certain project types more prone to revisions?
How do revision rates impact overall completion times?