Drop-off with a named cause and a tested fix.
Funnel tools tell you where users leave. René tells you why, names the bias behind the behaviour, and hands you an intervention with a confidence score you can put in a sprint.
The bias driving the drop-off, named, with the study it comes from.
You know where it breaks. Why is still an argument.
Analytics gives you a cliff at step four. Replay shows twenty people hesitating. The room then generates six theories and ships the one held by the most senior person present.
- Quantitative tools locate the problem but cannot explain it
- Fixes get chosen by seniority, not by evidence
- Post-launch, nobody confirms the fix was what moved the number
“Analytics told us step four was the problem. We shipped three different fixes for it and never learned which theory was right.”
Funnel tools locate abandonment precisely and explain it not at all, which is why the same step gets re-fixed across consecutive quarters.
What changes, measured*
* 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 nowHow René handles it
4 capabilitiesThe sprint
Questions we get asked
No. Point René at the funnel data you already have. It adds the behavioural layer and the intervention, not another counter.
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.