Executive summary

A method for turning a recurring revenue idea into a graded assumption register, a dated source log and a prioritized research backlog, ready for the investment case.

What is inside

What the research pack covers

The asset walks a business case team from the baseline diagnostic through drafting assumptions in five classes, tagging each as observation or hypothesis, grading confidence, quantifying ranges, logging sources, writing and running research questions, and freezing the pack at an evidence gate before the options appraisal begins.

  • Scope: the five assumption classes behind a recurring offer decision
  • Separating observations from hypotheses before anything is modeled
  • Grading evidence and confidence with behavioral anchors
  • Quantifying ranges for demand, price, cost to serve, retention and benefits
  • A dated source log that makes every number traceable
  • Research questions prioritized by sensitivity and confidence gap
  • An evidence gate that releases the pack to the options appraisal