PESTLE Analysis
Enter external factors, rate their impact and likelihood, and calculate priorities and a risk-adjusted DCF valuation.
Fuzzy Logic Rules
Impact and likelihood are converted into overlapping fuzzy memberships. This avoids an abrupt change in classification when a slider moves by only one point.
| Impact membership | Likelihood membership | Fuzzy conclusion | Severity centre |
|---|---|---|---|
| Threat | Low | Low threat | 25% |
| Threat | Medium | Material threat | 60% |
| Threat | High | Critical threat | 100% |
| Neutral | Low / Medium / High | Monitor | 0% |
| Opportunity | Low | Low opportunity | 25% |
| Opportunity | Medium | Material opportunity | 60% |
| Opportunity | High | Strategic opportunity | 100% |
Interactive rule example
Rule activation uses the minimum AND operator. The DCF premium uses the average fuzzy threat severity, adjusted for time horizon and trend, and is capped by the selected maximum PESTLE premium.
PESTLE-Adjusted DCF Valuation
Enter annual free cash flows and rates as percentages. The model converts the weighted PESTLE threat scores into a transparent risk premium capped by the maximum premium below.
Risk premium = maximum premium × average fuzzy threat severity. Only threat memberships increase the discount rate; opportunities remain visible but do not reduce WACC.