Sales Effectiveness & Pipeline Dashboard (Feb 2025 - Feb 2026)
Total Revenue Closed
Over trailing 12 months
Proposals Sent
0% of total incoming leads
Incoming Leads
Avg 0 leads per week
Sales per Hour Worked
0 total hours logged
Correlating hours worked (bars) against leads entering the pipeline and proposals sent out (lines).
Insight: Notice the "lag effect". Spikes in the blue line (Leads) are often followed a week or two later by spikes in the green line (Proposals). When leads drop to near zero, Andrew successfully works through his backlog to maintain proposal volume.
Comparing weekly revenue closed against total hours worked.
Insight: Desk hours do not perfectly correlate to immediate sales. Andrew has multiple weeks where he logged less than 30 hours but brought in over $100k (e.g., late December, mid-September), proving that his effectiveness is based on prior pipeline building, not immediate hourly effort.
How many proposals is Andrew sending per 40 hours of work? (Normalizes low/high hour weeks)
Insight: The peak in mid-June shows his highest recorded productivity burst (pushing a rate of 25 proposals per 40-hour block). Analyzing these peak efficiency spikes can help identify what processes or motivations work best for his workflow.