A framework that ranks where to invest and checks whether conditions support it
A business was allocating budget across hundreds of product categories, but the rationale changed depending on who ran the process. We built a framework that ranks every option by evidence and checks whether conditions can support the investment.
Hundreds of categories across multiple markets. Every quarter, different people ran the process differently using different criteria. One person's top priority was another's afterthought, and nobody could explain why.
"Invest £200k in Category X."
Reviewer A, Q2 planning
"Pause Category X entirely."
Reviewer B, same meeting
Same data. Same quarter. Different conclusion.
They had plenty of data. What was missing was a consistent way to turn it into a recommendation. We built a framework that asks three questions in order, and stops if the conditions are not right.
| # | Area | Action | Score | Reason |
|---|---|---|---|---|
| 1 | Category A | Invest | 91 | Strong return, healthy conditions |
| 2 | Category B | Scale | 84 | Proven performance, growing demand |
| 3 | Category C | Hold | 72 | Concentrated, riskier than it appears |
| 4 | Category D | Test | 65 | Emerging, limited data |
| 5 | Category E | Pause | 38 | Conditions cannot support investment |
This team went from weeks of manual review and gut-feel arguments to a ranked list where every recommendation traces back to the data that produced it. Six weeks to build, and they have been running the framework on their own since.