Innovation Prioritization Matrix

Add your own opportunities, score each one on five criteria, set how much each criterion matters, and see them ranked and plotted on a value versus feasibility 2×2.

Your list is saved in this browser only (localStorage). Nothing is sent to Commercify.

1. Set criterion weights

Weights are relative: the tool divides by their total (100), so they don't need to add up to 100.

30 (30%)
20 (20%)
15 (15%)
25 (25%)
10 (10%)

2. Add an opportunity

5 / 10

Market size, customer demand and willingness to pay. 10 = large, proven demand.

5 / 10

Defensibility of patents or know-how, freedom to operate. 10 = strong, clear position.

5 / 10

Match with your priorities, expertise and relationships. 10 = core to your strategy.

5 / 10

Readiness and development risk. 10 = proven, low remaining risk.

5 / 10

Cost, time and specialist skills needed. 10 = needs very little; 1 = needs a lot.

3. Value vs. feasibility

Each dot is numbered by rank. Quadrant lines sit at 5.5, the middle of the 1–10 scale.

Strategic betPrioritizeDeprioritizeQuick win / fill-inFeasibility (1–10) →Value (1–10) →110110

Nothing plotted yet. Add an opportunity, or click Load example to see how it works.

4. Ranked list

Weighted score = Σ (weight × score) ÷ Σ weights, across all five criteria. Current: 30×Commercial + 20×IP + 15×Strategic + 25×Technical + 10×Resource ÷ 100

Value = the same weighted average over commercial potential, IP strength and strategic fit. Feasibility = over technical feasibility and resource ease.

No opportunities yet.

How to Use the Prioritization Matrix

Most research groups, technology transfer offices and early-stage companies have more promising ideas than people or money to develop them. This matrix gives you a consistent way to compare them. You score every opportunity on the same five criteria, decide how much each criterion matters, and the tool ranks the list and plots it on a value versus feasibility chart.

  1. Set the weights. Start with the defaults or move the sliders to reflect your priorities. A seed-stage startup with little cash might raise the weight on resource ease; a technology transfer office focused on licensing might raise IP strength.
  2. Add each opportunity. Give it a name, a short note on the evidence, and a score from 1 to 10 on each criterion. The helper text under each slider says what a 10 means.
  3. Read the chart and the table together. The table ranks by the overall weighted score. The chart shows whether that score comes from value, feasibility or both.
  4. Edit as you learn. Use Edit on any row to change scores. Your list stays in this browser between visits, and Download CSV exports it for a spreadsheet or a review meeting.

If you want to see the tool working before entering your own projects, click Load example. The example items are invented and labelled as such; Clear all removes them.

The Five Criteria and Default Weights

The criteria are split across two axes. Three describe how much an opportunity is worth if it succeeds; two describe how likely and how costly success is.

CriterionAxisDefault weightQuestion to ask
Commercial potentialValue30How large and how proven is the demand? Would a customer pay, and how much?
IP strengthValue20Can you defend the position through patents, trade secrets or know-how, and do you have freedom to operate?
Strategic fitValue15Does it build on your expertise, partners and stated priorities?
Technical feasibilityFeasibility25How mature is the technology and how much development risk is left?
Resource easeFeasibility10How little money, time and specialist skill does it need? Score high when it needs little.

The default weights are a starting point, not a standard. They put the most emphasis on commercial potential and technical feasibility because those are usually the two questions that decide whether a technology reaches a market. Change them to match your own strategy, and write down why, so the next review uses the same reasoning.

Resource ease is scored the other way round from cost: a project that needs little money, time and specialist skill scores high. That keeps every criterion pointing the same direction, so a higher score is always better.

The Formula

For each opportunity the tool calculates three numbers. All of them are weighted averages, so they stay on the same 1 to 10 scale as your inputs.

  • Weighted score = Σ (weight × score) ÷ Σ weights, across all five criteria. This sets the rank.
  • Value = the same calculation over commercial potential, IP strength and strategic fit only. This is the vertical position on the chart.
  • Feasibility = the same calculation over technical feasibility and resource ease only. This is the horizontal position.

The quadrant lines sit at 5.5, the midpoint of a 1 to 10 scale. They are a convention for splitting the chart, not a benchmark. An opportunity at 5.4 is not meaningfully different from one at 5.6, so treat items near the lines as borderline and look at the underlying scores.

What Each Quadrant Suggests

Prioritize (high value, high feasibility)

Worth doing and achievable with what you have. Give these people and budget first, and set clear milestones so they don't stall for lack of attention.

Strategic bet (high value, low feasibility)

Potentially large but hard. Rather than funding the whole project, fund the experiment that resolves the biggest technical or resource risk, then rescore.

Quick win / fill-in (low value, high feasibility)

Easy, but the payoff is modest. Do these when they are cheap and don't pull people off the prioritized work. Some can be licensed out rather than developed in house.

Deprioritize (low value, low feasibility)

Hard and not very valuable on current evidence. Shelve them, note what would have to change for the scores to move, and revisit at the next review.

A Worked Example

These four opportunities are hypothetical and match the Load example data in the tool. Scores are listed in the order commercial potential / IP strength / strategic fit / technical feasibility / resource ease, using the default weights of 30 / 20 / 15 / 25 / 10.

Opportunity (hypothetical)ScoresValueFeasibilityWeighted scoreQuadrant
Water-quality sensor7 / 8 / 9 / 7 / 67.776.717.40Prioritize
Battery recycling process9 / 7 / 6 / 3 / 27.692.715.95Strategic bet
Lab scheduling software4 / 2 / 5 / 9 / 83.628.715.40Quick win / fill-in
Novel imaging dye4 / 3 / 4 / 4 / 33.693.713.70Deprioritize

Take the water-quality sensor. Its weighted score is (30×7 + 20×8 + 15×9 + 25×7 + 10×6) ÷ 100 = 740 ÷ 100 = 7.40. Its value score uses only the first three criteria: (210 + 160 + 135) ÷ 65 = 7.77. Its feasibility score uses the last two: (175 + 60) ÷ 35 = 6.71. Both are above 5.5, so it lands in Prioritize.

The battery recycling process ranks second overall at 5.95, ahead of the lab scheduling software at 5.40, even though it is far harder to deliver. The chart makes the difference plain: the battery project sits high and to the left, a strategic bet, while the software sits low and to the right, a quick win. A team reading only the ranked list would miss that the battery project needs a de-risking step before it deserves a full budget.

Weights matter. If the team raised the technical feasibility weight from 25 to 40, the total becomes 115. The battery project drops to (270 + 140 + 90 + 120 + 20) ÷ 115 = 5.57 and the software rises to (120 + 40 + 75 + 360 + 80) ÷ 115 = 5.87, so the two swap places. Try it in the tool with the example loaded: this is the kind of sensitivity check worth running before a decision.

Scoring Well

A weighted matrix is only as good as the scores that go into it. A few habits make the output more trustworthy.

  • Anchor the scale. Agree what a 3, a 6 and a 9 look like for each criterion before you score anything. For technical feasibility, technology readiness levels are a useful anchor; the TRL assessment gives you a level to translate.
  • Score one criterion across all items at a time. Comparing every opportunity on commercial potential in one pass is more consistent than scoring each opportunity on all five criteria in turn.
  • Write down the evidence. Use the notes field for the customer interviews, prior art search or test result behind a score. When someone challenges a number, you can point to the reason.
  • Score independently, then discuss. If several people are involved, have each person score alone first, then compare. Large disagreements usually point to missing information, which is more useful than an averaged number.

Common Mistakes

  • Treating the score as the decision. The matrix organizes judgment; it doesn't replace it. Use the ranking to structure the conversation, not to end it.
  • Tuning weights to get the answer you wanted. Set the weights before scoring, or at least before looking at the ranking, and keep them for the whole review.
  • Scoring on enthusiasm. A favorite project tends to get generous scores. Ask what evidence would justify a 9 and whether you have it.
  • Mixing directions. Every criterion here is scored so that higher is better, including resource ease. If you track cost elsewhere, convert it before entering a score.
  • Comparing unlike things. A platform technology and a single product feature are hard to score on the same scale. Group similar opportunities and run the matrix on each group.
  • Never rescoring. Scores go stale as experiments succeed or fail and markets move. Revisit the list at every portfolio review.

Once an opportunity is in the Prioritize quadrant, the next questions are about the route to market. The GTM readiness assessment checks team and market readiness, and the market sizing calculator helps you put numbers behind a commercial potential score.

Frequently Asked Questions

How is the weighted score calculated?

Each opportunity gets a score from 1 to 10 on five criteria. The tool multiplies each score by that criterion's weight, adds the results, and divides by the total of the weights. With the default weights of 30, 20, 15, 25 and 10, an opportunity scoring 7, 8, 9, 7 and 6 gets (210 + 160 + 135 + 175 + 60) ÷ 100 = 7.40.

What do the value and feasibility axes mean?

Value is the weighted average of commercial potential, IP strength and strategic fit. Feasibility is the weighted average of technical feasibility and resource ease. Both use the same weights you set, so changing a weight moves dots on the chart as well as the ranking.

Do the weights need to add up to 100?

No. Weights are relative. The tool divides by their total, so weights of 3, 2, 1, 2 and 1 give the same result as 30, 20, 10, 20 and 10. The percentage next to each slider shows its current share of the total.

Where is my data stored?

In your own browser, using localStorage. Nothing you enter is sent to Commercify. Clearing your browser data, or using a private window, removes the list, so use Download CSV to keep a copy or share it with colleagues.

Why does a project rank high but sit in the strategic bet quadrant?

The ranking blends value and feasibility into one number, while the quadrant keeps them apart. A project with very high value and low feasibility can outrank an easier, lower-value one. That is useful information: it tells you the project is worth pursuing but needs its biggest risk addressed first.

How often should we rescore?

Rescore whenever you learn something that changes a score, such as a failed experiment, a patent search result or a customer conversation, and at least at each portfolio review. Keep notes on the evidence behind each score so you can see what changed.

Is this the same as a weighted scoring model or an Eisenhower matrix?

It combines a weighted scoring model, which ranks options by a weighted sum of criteria, with a 2×2 chart similar to an impact-effort matrix. It is not an Eisenhower matrix, which sorts tasks by urgency and importance rather than value and feasibility.