Tool

Hypothesis Prioritization Matrix

An interactive prioritization matrix that helps teams capture up to six testable hypotheses, score them across configurable weighted criteria (Impact, Feasibility, Novelty, Risk), compare weighted results, record decisions, and capture next steps for action and experimental planning.

Interactive Tool

Hypothesis Prioritization Matrix

Prioritize hypotheses so experiments focus on the best learning opportunities.

Enter up to six hypotheses, set criterion weights to reflect your team's priorities, score each hypothesis on a 1–10 scale, then compute and record the weighted score, decision, and next steps. Use this matrix to make prioritization repeatable, auditable, and easy to revisit.

Note: The form captures inputs. If your site supports automatic score calculation, that can be enabled later; otherwise use the provided formula in each hypothesis section to compute weighted scores manually and record them in the weighted score field.

Criterion weights (set priorities)

Assign numeric weights to each criterion. Higher weight increases that criterion's influence on the weighted score. Typical totals equal 100 but any positive weights work; normalized formula below divides by the sum of weights.

Impact weight

How important expected impact is (default 40).

Feasibility weight

How important ease of implementation or feasibility is (default 30).

Novelty weight

How much you value novelty or potential originality (default 20).

Risk weight

How much you penalize risk (default 10). Risk is inverted in the score formula so a higher risk lowers the score.

Decision threshold (1–10)

A suggested cutoff for proceeding (for example 7). Use this as a guide, not a rule.

How to calculate the weighted score (recommended formula)

WeightedScore = (impact*W_imp + feasibility*W_feas + novelty*W_nov + (10 - risk)*W_risk) / (W_imp + W_feas + W_nov + W_risk). This returns a 1–10 value where higher is better. Record the result in the hypothesis' Weighted Score field. If automatic calculation is available in your environment, it can be enabled later.

Hypotheses (enter up to six)

For each hypothesis provide a concise statement, key assumptions, owner, scores, and next steps.

Hypothesis 1 — short title

A concise name for this hypothesis (e.g., 'Lowering price increases trial').

Hypothesis 1 — clear, testable statement

Write a falsifiable hypothesis in plain language (if A then B under C).

Hypothesis 1 — key assumptions

List assumptions that must hold true for the hypothesis to be meaningful.

Hypothesis 1 — owner

Person or team responsible for experimentation and follow-up.

Hypothesis 1 — Impact (1 low — 10 high)

Expected benefit or value if hypothesis is true.

Hypothesis 1 — Feasibility (1 hard — 10 easy)

How feasible it is to design and run a test that meaningfully evaluates the hypothesis.

Hypothesis 1 — Novelty (1 common — 10 novel)

How original or differentiating the hypothesis could be if true.

Hypothesis 1 — Risk (1 low — 10 high)

Operational, ethical, technical, or compliance risk if pursued. Higher values reduce the weighted score via the formula above.

Hypothesis 1 — Weighted score (1–10)

Record the weighted score (use the formula above). If your environment supports automatic calculation, this may be filled in automatically later.

Hypothesis 1 — Decision

Record your decision after review and scoring.

Hypothesis 1 — Next steps

Capture immediate next actions (e.g., draft experiment plan, assign resources, define measurement).

Hypothesis 1 — Priority rank (1 = highest)

Optional team-assigned rank after comparing weighted scores.

Hypothesis 2 — short title

Hypothesis 2 — clear, testable statement

Hypothesis 2 — key assumptions

Hypothesis 2 — owner

Hypothesis 2 — Impact (1–10)

Hypothesis 2 — Feasibility (1–10)

Hypothesis 2 — Novelty (1–10)

Hypothesis 2 — Risk (1–10)

Hypothesis 2 — Weighted score (1–10)

Hypothesis 2 — Decision

Hypothesis 2 — Next steps

Hypothesis 2 — Priority rank (1 = highest)

Hypothesis 3 — short title

Hypothesis 3 — clear, testable statement

Hypothesis 3 — key assumptions

Hypothesis 3 — owner

Hypothesis 3 — Impact (1–10)

Hypothesis 3 — Feasibility (1–10)

Hypothesis 3 — Novelty (1–10)

Hypothesis 3 — Risk (1–10)

Hypothesis 3 — Weighted score (1–10)

Hypothesis 3 — Decision

Hypothesis 3 — Next steps

Hypothesis 3 — Priority rank (1 = highest)

Hypothesis 4 — short title

Hypothesis 4 — clear, testable statement

Hypothesis 4 — key assumptions

Hypothesis 4 — owner

Hypothesis 4 — Impact (1–10)

Hypothesis 4 — Feasibility (1–10)

Hypothesis 4 — Novelty (1–10)

Hypothesis 4 — Risk (1–10)

Hypothesis 4 — Weighted score (1–10)

Hypothesis 4 — Decision

Hypothesis 4 — Next steps

Hypothesis 4 — Priority rank (1 = highest)

Hypothesis 5 — short title

Hypothesis 5 — clear, testable statement

Hypothesis 5 — key assumptions

Hypothesis 5 — owner

Hypothesis 5 — Impact (1–10)

Hypothesis 5 — Feasibility (1–10)

Hypothesis 5 — Novelty (1–10)

Hypothesis 5 — Risk (1–10)

Hypothesis 5 — Weighted score (1–10)

Hypothesis 5 — Decision

Hypothesis 5 — Next steps

Hypothesis 5 — Priority rank (1 = highest)

Hypothesis 6 — short title

Hypothesis 6 — clear, testable statement

Hypothesis 6 — key assumptions

Hypothesis 6 — owner

Hypothesis 6 — Impact (1–10)

Hypothesis 6 — Feasibility (1–10)

Hypothesis 6 — Novelty (1–10)

Hypothesis 6 — Risk (1–10)

Hypothesis 6 — Weighted score (1–10)

Hypothesis 6 — Decision

Hypothesis 6 — Next steps

Hypothesis 6 — Priority rank (1 = highest)

Overall comments and rationale

Summarize trade-offs, disagreements, or context that affected the scoring and decisions.

Review date

Optional: date when this prioritization was completed (YYYY-MM-DD).

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Hypothesis Prioritization Matrix