PXL Prioritization Scorer
Gut-scored prioritization (everyone rates their own idea a 9) ranks your backlog by enthusiasm. PXL replaces the guesswork with concrete, evidence-weighted questions — so the tests most likely to win rise to the top. Score an idea and see its priority.
PXL is CXL’s bias-resistant prioritization framework: instead of subjective 1–10 scores, it asks concrete yes/no questions about a test’s potential (visibility, reach, size of change), confidence (weighted by the research behind it), and ease. This scorer sums them into a comparable priority score so you can rank a backlog consistently — with the score, not the HiPPO, deciding what runs next. Runs in your browser.
PXL Prioritization Scorer inputs and result
How to use this tool
- Score one test idea at a time.Answer the concrete yes/no questions for the specific idea, and set its ease of implementation.
- Note the score.PXL sums potential (visibility, reach, size of change), confidence (the evidence behind it), and ease — a higher total means a higher-priority test.
- Repeat for every idea, then rank.Score your whole backlog and sort by PXL score, highest first. The point is a consistent, comparable ranking — not a precise truth.
- Let the score order the queue.Run the top-scoring tests first, regardless of who proposed them. The framework, not the HiPPO, sets priority.
- Export the score.Copy a share link, download the CSV, or print a one-page PDF for your backlog.
RGM Expert Says
We use PXL instead of ICE because ICE’s 1–10 ‘confidence’ score is wishful thinking dressed as math — everyone rates their own idea a 9, so the ranking is noise. PXL, from CXL, swaps the gut scores for concrete, mostly yes/no questions, so two people score the same idea the same way, and the score is tied to evidence rather than enthusiasm.
The design choice that matters most: confidence is weighted by the kind of research behind the idea. An idea grounded in qualitative research scores highest, because that’s the evidence most predictive of a win. An idea with no research scores low no matter how much its author likes it — which is exactly the bias PXL exists to remove. If you only take one habit from this tool, make it ‘score confidence by evidence, not by enthusiasm.’
Treat the number as a comparable ranking, not a precise prediction. The value is that it orders your backlog consistently and depersonalizes it — the score, not the loudest voice, decides what runs next, which is as much a political tool as an analytical one. Score the whole backlog, sort descending, and run from the top.
How it works
PXL scores a test idea by summing concrete, weighted questions across three areas:
- Potential — is it above the fold, noticeable in 5 seconds, a real change (add/remove an element), on a high-traffic page, and aimed at motivation/friction/value prop?
- Confidence — what evidence backs it? Qualitative research scores highest (+2), then analytics, heuristic review, and prior tests/principles (+1 each).
- Ease — how cheap it is to build and ship (0–3), since effort consumes scarce capacity.
Adapted from CXL’s PXL prioritization framework. Scores are comparable across ideas, not absolute. Runs in your browser.
Why PXL beats gut-scored prioritization
Every prioritization framework that uses subjective 1–10 scores has the same disease: confidence inflation. The person who proposed the idea scores its impact and confidence high because they believe in it, so almost everything lands at 7–9 and the ranking carries no information. The backlog ends up ordered by enthusiasm, which is exactly what prioritization is supposed to prevent.
PXL fixes this by making the inputs objective and evidence-tied. ‘Is it above the fold?’ has one right answer. ‘Is it based on qualitative research?’ can’t be inflated by passion. By weighting research-backed ideas highest, PXL operationalizes the truth that win rate is driven by evidence — so the tests that rise to the top are the ones most likely to actually win, not the ones with the most internal champions.
It also defuses politics. When the score — not the highest-paid opinion — orders the queue, you can decline a pet idea without declining a person, and anyone can raise an idea’s rank the legitimate way: by bringing research. Score the whole backlog with this tool, sort by PXL score, and you have a defensible, depersonalized roadmap.
PXL vs the gut-scored frameworks
Any consistent framework beats none; PXL is the most bias-resistant.
| Framework | Inputs | Bias resistance |
|---|---|---|
| ICE | Impact, Confidence, Ease (1–10 gut) | Low |
| RICE | Reach, Impact, Confidence, Effort | Medium |
| PXL | Concrete yes/no + research-weighted confidence | High |
What operators say
The success of your testing program is the sum of two factors: the number of tests you run, and the percentage that win.
Score confidence by the strength of the evidence, not by how much you like the idea — that one habit is most of what drives win rate.