Surface · Decide

144 documented biases, attached to your drop-offs.

This is the part no other tool does. René reads the journey, finds where behaviour breaks, names the bias driving it, and proposes an intervention from documented behavioural science with a confidence score.

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Product · Behavioural Intelligence

Diagnosis · payment stageconfidence

Loss aversion0.81

Ambiguity aversion0.74

Effort aversion0.62

Salience bias0.55

Intervention · ranked firstShow the all-in total before the card formCited: Kahneman & Tversky 1979 · 14 deployments

The problem

Best-practice lists are not a diagnosis.

Reduce friction, add trust signals, simplify the form. Advice that is true in general and useless in particular, because it never names what is actually happening in the mind of the person leaving.

Generic recommendations that fit every journey and diagnose none
No way to rank competing explanations of the same behaviour
Behavioural science cited in decks, not applied to the specific break

The answer, on screen

Behavioural Intelligence as it ships

Screenshot of Behavioural Intelligence in the René customer-journey workspace

One screen, unretouched. Annotations go in the caption rather than on the image.

Specification

Bias library144 documented

Each entry citesSource study and contexts

ScoringConfidence, effort, expected effect

ApprovalHuman, always

What it does

6 capabilities

Bias detectionThe documented bias matching the observed behaviour, with its source study.

Intervention designA concrete change, written at the level a delivery team can build.

Confidence scoringHow strongly the evidence supports the diagnosis, shown as a number.

Expected effectProjected movement on the index and the operational metric.

Effort estimateLow, medium or high, so it can be sized against the roadmap.

Outcome learningDeployed interventions and their measured results feed the Experience Engine.

In the product

Bias diagnosed at the step: The bias named, the mechanism explained, the expected lift sized. — Behavioural Intelligence in the René customer-journey workspace — The bias named, the mechanism explained, the expected lift sized.

Intervention detail: The proposed change with its effort, time to impact and pillars. — Behavioural Intelligence in the René customer-journey workspace — The proposed change with its effort, time to impact and pillars.

Against a best-practice list

TodayWith René

"Reduce friction""Loss aversion at the card step"

Applies to any journeyMatched to this break

No confidence statedConfidence 0.81, with sources

Questions we get asked

It proposes. You approve, edit or reject, and nothing deploys without a person. Every proposal cites the evidence behind it.

Keep reading

LearnBias Library144 cognitive biases, mapped to journey contexts.By use caseFix drop-offName the reason people leave at step four.By roleProductDrop-off with a named cause and a tested fix.

Make one journey measurable this week.

Start with the journey that costs you the most. Free plan, one journey, all four views — no card, no call.

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Or talk to the Renascence team about an enterprise evaluation.