Relying on storytelling works when things are going well, but erodes trust when outcomes don't match the narrative. Metrics provide factual evidence that supports your story, demonstrating to other executives that you can accurately diagnose business problems. This builds confidence and credibility, especially during downturns.
Avoid getting lost in hundreds of metrics by using a two-tiered system. L1 metrics are high-level, lagging indicators showing business health (e.g., qualified pipeline, win rate). When an L1 metric is off, use its underlying L2 metrics (e.g., connect rate, stage conversion) to diagnose the root cause without analyzing the entire business.
Once you identify a problem metric, determine its root cause. Conversion rates (e.g., conversation-to-meeting) typically point to a skill issue that requires coaching and training. Counting stats (e.g., leads to call) often indicate an operational or process problem (e.g., lead routing) that RevOps must fix. This prevents misallocating resources, like training a rep for a system failure.
A common mistake is calculating a quarterly win rate by dividing deals won in Q2 by deals opened in Q2. This is inaccurate because many deals won in Q2 were opened in previous quarters. The correct method is cohort analysis: track all deals opened in a specific period (e.g., Q4) and measure their eventual win rate over time. This provides a true, albeit lagging, measure of performance.
The revenue equation models your sales process as a series of inputs and conversion rates. Instead of just tackling the biggest problem, this model helps identify the variable that can be improved with the least effort for the same or greater impact. For example, lifting a 1% connect rate to 6% is often easier than lifting an 80% conversion rate to 85%, yet it can yield a similar lift in the final output.
Never evaluate a number in isolation. A metric like "83 meetings booked" is meaningless until you add context (What was the goal?) and trend (How does this compare to previous weeks?). Knowing you booked 83 against a goal of 50 is good, but not if you booked 100 for the last seven weeks. Both are required to accurately interpret performance.
A common but critical error is conflating percentage points with percentage change. Moving a win rate from 25% to 30% is a 5 percentage point increase, but it represents a 20% performance increase (5/25). Failing to make this distinction can cause leaders to misinterpret the magnitude of a problem or an improvement, leading to flawed decision-making.