René Studio
Use case

Name the reason people leave at step four.

Point René at the step that bleeds. It reads the evidence, identifies the behavioural cause, and proposes an intervention scored for confidence, effort and expected effect.

Start free
By use case · Fix drop-offReplay
EnterProgressHesitateAbandonRecovered
Abandon
Friction detection

Stages flagged by drop-off, effort and emotion together, not volume alone.

drop-off −14pts
drop-off −14pts · time to diagnosis 3h · confidence 0.79
The problem

The cliff is visible. The cause is guesswork.

Everyone can see the funnel. What follows is a workshop that produces plausible theories at equal confidence, and a change shipped because it was the cheapest to build.

  • Plausible explanations with no way to rank them
  • Interventions copied from best-practice lists, not matched to the break
  • Effect measured against a moving baseline, if measured at all
“Forty-one percent left at identity verification. We assumed it was document friction. It was that nobody knew which documents counted.”
Digital lead, retail bank · intervention review
The operational fact

Abandonment at a mandatory step is routinely attributed to the step's existence rather than to how it is explained, which is the part that is actually a design choice.

What changes, measured*

Drop-off−14ptson the treated step
Time to diagnosis3hfrom flag to scored intervention
Confidence0.79on the leading recommendation

* Based on heuristics. These figures are modelled from the René method and observed sector patterns, not reported client results. Your own numbers replace them once a journey is measured.

What it costs to leave alone

The case for acting now
01Fixes aimed at the wrong causeSimplifying a form that was never the problem costs a release and returns nothing measurable.
02Compounding loss at scaleA drop-off left in place for a year is not an incident, it is an operating assumption about how many customers you are willing to lose.
03No basis for rankingSix theories at equal confidence means the cheapest one ships, not the one most likely to work.

How René handles it

4 capabilities
01
Friction detectionStages flagged by drop-off, effort and emotion together, not volume alone.
02
Bias attachmentThe documented bias that fits the observed behaviour, with the source study.
03
Intervention designA concrete change, written at the level a team can build.
04
Effect windowMeasurement scoped to the deployment date so the result is attributable.

The diagnosis

TodayWith René
Six theories, equal weightOne named bias, scored
Best-practice checklistIntervention matched to the break
Result assumedResult measured in a defined window

Questions we get asked

Enough to see the behaviour: funnel counts plus some open text. More evidence raises the confidence score rather than unlocking the feature.

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.

Or talk to the Renascence team about an enterprise evaluation.