Prioritization Scoring: Impact, Feasibility, Risk, Reuse

Why two dimensions quietly misprice the portfolio

Most prioritization scoring uses two dimensions: impact and feasibility. The two-dimension scorecard produces decisions that look defensible at the funding meeting and break down at the operating review. It cannot distinguish between a high-impact, high-feasibility initiative that solves one customer's problem and a high-impact, high-feasibility initiative that produces a reusable platform component. The first is a project. The second is a compounding asset. The difference matters more than the impact score, and the two-dimension grid is blind to it.

Four dimensions hold the decision better. Impact and feasibility cover the standard ground. Risk forces the conversation about what could go wrong before the money is committed rather than after. Reuse forces the conversation about whether the initiative will compound or merely complete. Adding the two missing dimensions is not more bureaucracy; it is the pricing information the two-dimension scorecard leaves out, and it reorders portfolios in ways the shorter version cannot. The point of the added dimensions is to move the argument from advocacy to evidence, so the portfolio is set by what the scores show rather than by who spoke last. That shift, from persuasion to evidence, is the entire reason the two extra dimensions are worth the effort of scoring them.

Four dimensions, one to five each

Score every initiative one to five on each dimension, using a named unit rather than a feeling. Sum the four for the ranking score.

Impact measures the size of the outcome and is honest only when the unit is named at the start and measured at the end. Feasibility is not a vote; it is the engineering, data, and change leads in combination, and if any one of them scores it low, the score is low. Risk measures what fails if the initiative ships, scored against named scenarios such as data leakage or customer harm rather than a general unease. Reuse measures whether the components built here serve future initiatives, and a high reuse score earns higher portfolio weight because it lowers the cost of everything that comes after.

Consider a worked case. A firm weighs two initiatives that both score four on impact and four on feasibility, so the two-dimension grid calls them a tie. Initiative A is a bespoke report for one flagship account: risk two, reuse one, sum eleven. Initiative B is a shared retrieval service three teams will build on: risk two, reuse five, sum fifteen. The four-dimension scorecard funds B first, because B lowers the cost of the next three initiatives while A completes and ends. The two-dimension grid would have funded whichever had the louder sponsor. The added dimensions turned a tie into a clear order.

Score, sum, rank, and fund

The scorecard is a ranking instrument, not a gate. Score honestly, publish the result, and let the ranking drive the funding conversation.

The scorecard earns its keep at the moment two initiatives tie on the familiar two dimensions. Impact and feasibility alone will call them equal and hand the decision to whichever sponsor argues hardest. The risk and reuse dimensions break the tie on evidence: the initiative that builds a component three future initiatives will extend outscores the one that solves a single problem and ends, even when their impact is identical. Published to the room, the four scores turn the funding meeting from a contest of advocacy into a reading of the ranking, which is the conversation worth having.

• Name the impact unit for each initiative before scoring, so impact is measured against something concrete at the end rather than argued about at the start.
• Score feasibility as the combined judgment of the engineering, data, and change leads, treating any single low vote as a low score.
• Score risk against specific named scenarios such as data leakage, regulatory exposure, or customer harm, not against a general unease.
• Sum the four dimensions, rank the whole portfolio by the total, and fund down the list until capital is exhausted.
• Publish the full scorecard to the executive team so the discussion that follows argues about evidence rather than about whose initiative feels most important.

Where four-dimension scoring goes wrong

• Leaving impact unitless. An unnamed unit cannot be measured later and invites inflation. The fix: name the unit at scoring time and hold the initiative to it at the review.
• Treating feasibility as a group vote. Averaging hides the one function that knows the work is not feasible. The fix: take the minimum of the specialist assessments, not the mean.
• Scoring risk in the abstract. A vague high risk score is unactionable and easy to argue away. The fix: tie the score to named failure scenarios with owners.
• Ignoring reuse to keep the scorecard simple. Dropping reuse reintroduces the exact blindness the framework exists to fix. The fix: always score reuse, even when the answer is a deliberate one for single-use work.
• Keeping the scorecard private to the sponsors. Hidden scores let advocacy substitute for evidence. The fix: publish the scorecard so the portfolio conversation runs on the numbers everyone can see. A portfolio set behind closed doors is a portfolio no one can challenge on the merits, and the merits are exactly what the four dimensions were built to make visible to everyone in the room.

Before the funding meeting

• Every initiative is scored one to five on impact, feasibility, risk, and reuse.
• Each impact score has a named unit and each risk score names its failure scenarios.
• Feasibility reflects the minimum of the engineering, data, and change lead assessments.
• The four scores are summed and the whole portfolio is ranked by total.
• The scorecard is published to the executive team before the funding discussion begins and the ranking, not the loudest sponsor, decides what gets funded