What Executives Accept as Evidence

Evidence is not equal. An executive evaluating a recommendation weighs different types of evidence differently, and the weight they assign is not always intuitive. Understanding the executive evidence hierarchy is the difference between a recommendation that closes decisions and one that generates more questions.

1. Primary Data (strongest) Data you collected from your own environment — a pilot, a controlled test, an internal analysis. Primary data is strongest because it is specific to the executive's context and cannot be dismissed as someone else's results. 'Our 90-day pilot across 847 claims reduced average processing time from 8.2 hours to 1.4 hours' is primary data. It is difficult to challenge without challenging the measurement methodology.
2. Peer Examples Named, comparable organizations that have done what you are recommending and measured the outcome. The peer example works because it converts an abstract capability into a competitive reality. 'Acme Corp deployed a similar system in their underwriting workflow in Q3 2025 and reduced manual review by 40% in year one' is a peer example. Vague references to 'industry leaders' or 'companies like yours' are not.
3. Expert Opinion Recognized authorities in the relevant domain who agree with the approach. Gartner, Forrester, McKinsey, peer executives at other firms. Expert opinion is weaker than primary data and peer examples because it is not specific to the executive's context — but it reduces the risk of being alone in the decision, which matters.
4. Logical Inference (weakest) 'This approach works in comparable contexts, so it should work here.' Logical inference is the weakest form of evidence because it is an argument, not data. Use it only when stronger evidence is unavailable, and be explicit that you are inferring rather than measuring.