Store outcomes, not stories
Record whether a proposal received a reply, advanced, or won. Keep interpretation separate so the underlying history remains trustworthy.
Review patterns in batches
One result is noisy. Review a meaningful group of proposals and compare similar opportunity types before changing your default approach.
Change one thing
When a pattern is credible, make one bounded adjustment and observe the next set of outcomes. That keeps learning attributable and reversible.