Project prioritisation becomes difficult when every initiative has a persuasive sponsor, a different business case and an urgent reason to start. A scoring model can help, but only if it supports a real discussion about trade-offs.

Begin with the capacity constraint

First establish how much change the organisation can deliver. Look at the scarce roles, not only total headcount. Ten approved projects may all depend on the same data engineer, finance lead or operational team.

Portfolio research from Tempo’s 2026 State of Strategic Portfolio Management identifies capacity planning, prioritisation and resource allocation as leading execution concerns. Treat capacity as an input to selection, not a problem to solve after approval.

Score a small number of useful criteria

A practical model might include:

  • contribution to a strategic outcome
  • financial or service value
  • urgency or cost of delay
  • risk reduction
  • confidence in the evidence
  • delivery effort
  • demand on scarce skills
  • dependency readiness

Use a consistent scale and define what each score means. Otherwise one sponsor’s “high” will differ from another’s.

Keep value and confidence separate

A project may promise significant value but rely on weak assumptions. Do not hide that uncertainty inside a blended score. Show expected value and confidence separately so leaders can decide whether to approve discovery, run a pilot or commit fully.

Compare projects as a portfolio

The highest individual scores do not automatically create the best portfolio. Check balance across strategic goals, regulatory needs, short-term returns and foundational work. Also identify combinations that compete for the same capacity or depend on each other.

Make stopping visible

Prioritisation is not complete until leaders decide what will wait, reduce scope or stop. Keep a visible deferred list with the reason and the condition for reconsideration. This is better than allowing unapproved projects to continue unofficially.

Revisit the decision regularly

Scores are not permanent. Review the portfolio when assumptions change, capacity moves or results fail to appear. A short quarterly reset is usually more useful than an annual exercise that becomes obsolete within weeks.

The goal is not mathematical certainty. It is a transparent conversation about value, evidence and capacity, followed by an explicit decision.

See how LUKiN approaches portfolio visibility and governance.