What it is and where it came from
A relative ranking tool, not an automatic decision
PIE is attributed to WiderFunnel founder Chris Goward for prioritizing conversion-optimization opportunities. Published worked examples average Potential, Importance, and Ease to produce a score out of 10; multiplication is a variant rather than a uniquely canonical rule.
Source: Segment experimentation guide: PIE attribution and worked exampleDimensions
What each letter must make explicit
Potential
How much improvement appears possible on the page, flow, or experience.
Guardrail: Use research and current performance to identify room for improvement.
Importance
The value and volume of users affected by the opportunity.
Guardrail: Define the audience and why this touchpoint matters to the business.
Ease
Relative cost and complexity of implementing and measuring the change.
Guardrail: Count dependencies and analysis work, not only build time.
Formula disclosure
Documented method and Hypotize method
(Potential + Importance + Ease) ÷ 3
(Potential + Importance + Ease) ÷ 3
The documented average and Hypotize both return a 1–10 score. The multiplicative variant returns 1–1000. A product and an average do not always preserve the same ranking, so a record should store which method produced the number.
Deterministic · No account required
Compare both calculations
Inputs stay in this browser. Nothing is sent to Hypotize by this calculator.
Documented source units
1 = little room, 10 = large room
1 = low-value audience, 10 = critical
1 = difficult, 10 = easy
Documented average
Hypotize input scale
Hypotize input, 1–10
Hypotize input, 1–10
Hypotize input, 1–10
Hypotize score
Multiplicative variant using these inputs: 336
Worked example
One experiment, reproducible arithmetic
Decision rules
When to use PIE, and when not to
Use it when
- You are prioritizing page or funnel optimization opportunities.
- Traffic value and room for improvement matter separately.
- A shared 1–10 rubric is sufficient for relative ranking.
Do not let it decide when
- You are comparing projects rather than conversion opportunities.
- Reach and effort need explicit real-world units.
- Potential cannot be grounded in research or current performance.
Common input failures
- Low-performing pages can look high-potential even when demand is weak.
- Importance can double-count traffic and business value.
- Ease estimates often omit analytics and QA work.
Product behavior
Exactly what Hypotize does
Hypotize calculates the arithmetic mean of Potential, Importance, and Ease and keeps the result on a 1–10 scale. It stores PIE as the framework and the resulting priority score. The current MCP connector has no dedicated PIE vote tool, so a connected client cannot claim it scored PIE through a parallel operation.
A score is one field in the experiment record. It does not execute a test, prove a hypothesis, or replace owner, state, evidence, outcome, learning, and next step.
Choose the right lens
The same pricing experiment in three rubrics
| Framework | Example inputs | Hypotize result | Best question |
|---|---|---|---|
| ICE | 8, 6, 7 | 7.00 | What is impactful, evidenced, and easy? |
| PIE | 8, 7, 6 | 7.00 | Which conversion opportunity matters? |
| RICE | 8, 7, 6, 3 | 112.00 | How much impact per unit of effort? |
Keep the context
A score is useful when its reasoning survives
Reviewed 29 August 2026. Source links identify the documented method; product behavior is derived from the current Hypotize framework configuration and calculator implementation.