After the choice
Analytics
What happened?
Shows what happened after launch. It cannot compare the option you did not choose.
The evidence gap
Most teams learn the answer after the decision is expensive.
Past data explains what happened. Product teams still need to know what might happen under another choice.
Before the choice
Interviews
What do people say?
Explains what people say before launch. Stated intent can differ from behavior.
Before the choice
Causl
What changes behavior?
Runs both options as a controlled experiment before the team locks the offer.
How the experiment works
Compare one product change with the current offer.
Causl tests the same simulated buyers under two offers. Every other part of the simulation stays the same, which isolates the effect of the offer change.
Illustrative product experimentSame 18 buyers, one offer change
DecisionWill a simpler plan help more people start?
18 simulated buyers4 of 18 started
Buyer 01StayedBuyer 02StartedBuyer 03StayedBuyer 04StayedBuyer 05StayedBuyer 06StartedBuyer 07StayedBuyer 08StayedBuyer 09StayedBuyer 10StayedBuyer 11StayedBuyer 12StartedBuyer 13StayedBuyer 14StayedBuyer 15StayedBuyer 16StartedBuyer 17StayedBuyer 18Stayed
Current offerCurrent three-plan offer
The same buyers see the offer exactly as it is today.
Observed difference4 more buyers started
8 started with the simpler plan. 4 started with the current offer.
Confidence intervalAvailable in a full product run
A full run reports how certain the estimate is.
Buyer groupsIncluded in a full product run
A full run shows which groups changed most.
These 18 buyers show how the method works. A forecast requires your product and market.
0.73mean rank agreement
Validation against published research
The engine is tested against human experiments.
The behavioral engine behind Causl has been tested on 43 design-filtered human-study replications across 9 domains. A score of 1 would mean the engine ranked every choice in the same order as people. Failures are included in the public record.
From experiment to decision
See the whole system before you change it.
Causl turns one product question into a shared decision model. Your team can review the evidence together.
01
Model the decision
Connect the product change to the outcome your team cares about.
02
Compare the options
Compare the current path with one controlled change across the same simulated market.
03
See what changes
See how buyer behavior changes and how certain the estimate is.
04
Keep the evidence
Record the question and result with the decision they support.
Decision recordWill a simpler plan help more people start?
- Market
- The buyers included in the test
- Change
- A single starter option
- Outcome
- More buyers begin
- Evidence
- The result and its limits
One shared record keeps the evidence with the decision.