MIRAS
Case Study

Smarter Prioritisation

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.

The problem

Anyone who makes allocation decisions will recognise this.

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.

The approach

We studied how the team was making decisions and where the logic broke down.

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.

01
Can it absorb more?
If the area cannot support more investment right now, the framework stops. It checks whether the foundations are healthy before anything else.
02
What is the return?
What is the performance on existing spend? Is there enough data to be confident? The framework uses standardised windows with fallbacks when recent data is thin.
03
How big is the real opportunity?
The framework looks past the headline number to what you can actually capture. It separates broad-based potential from concentrated revenue that looks bigger than it is.
What it produces

The budget meeting used to be a political argument. Now it starts with this.

Prioritised Recommendations
Q2 2026
# 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
The framework does not replace judgment. It replaces the blank page. The team still overrides when they know something the data does not.
Impact

What the team got back.

Before

  • Weeks of manual review every quarter
  • Criteria changed depending on who did it
  • Budget went to whoever argued loudest
  • High headline numbers mistaken for real opportunity

After

  • Hours instead of weeks
  • Consistent criteria every time
  • Every recommendation backed by evidence
  • Concentration risk flagged and separated
What this means

Every investment decision should be defensible.

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.

#Strategy #Prioritisation #DecisionFramework