Behavioral science for climate action

People will help the planet if you ask them properly.

We run experiments on the moments where a good intention can turn into action: a checkout page, a pre-ticked box, a prompt that reaches someone at the right time. We find the small changes that help people follow through, and hand the evidence to the companies and policymakers big enough to use it.

29.7%
donated real money with a redesigned booking flow
18.6%
donated with the baseline design, under the same real stakes
11.1 pp
real-money participation lift in a clean Phase 1 comparison

Try it yourself

Same booking step, rebuilt. More people gave.

We recreated checkout donation asks in three simulated booking experiments with confidential airline partners. In Phase 1, participants could keep their study payment or give part of it to charity. Flip the switch to see a simplified clean baseline-and-redesign comparison.

booking / passenger details / extras

Add to your trip

Make a contribution to our climate programme

Enter an amount to add to your booking total.

GBP
Continue to payment
18.6%

of participants donated real money with the baseline booking flow.

A simplified representation of the baseline request used in the confidential airline experiment.

Clean Phase 1 comparison: baseline n = 242; redesigned n = 239. Donations were deducted from study payments and transferred to charity (p = .005).

Our two kinds of evidence answer different questions. Separately from the airline work, an online study with no money at stake found 69% chose to add a conservation contribution and 75% preferred the platform that asked. That study measures appetite for the idea. The airline studies above measure behavior when the money is genuinely theirs.

Both studies, with methods and limitations →

What comes next

The evidence is ready for a live test that measures revenue.

1,752

participants completed three simulated booking experiments. Phase 1 measures consequential donation behavior; a production A/B test measures ticket sales and abandonment.

A production A/B test should measure contribution uptake, completed bookings, and customer response together.

What the study establishes

In Phase 1, donations were deducted from participants' study payment and transferred to charity. Phase 2 amount comparisons used hypothetical choices and estimate projected donations.

See the per-experiment results and limitations ->

Putting the evidence to work

A European travel operator’s sustainability team reviewed the research and is taking the redesign in-house to develop it further and test it internally.

The study flows were simulated. A real production test is where the design can be checked against completed bookings, customer experience, and an operator’s own baseline.

One method, two programs

Most people want to help. We just need to create the right moment.

Caring is often already there. What matters is building the next step well. A traveller who would happily give something needs a donation moment that has actually been tested. A household that invested in solar panels deserves a clear read on what dirt on the glass is costing. In both cases, the willingness to act is already there.

Both programs do the same job. We take information that is technically public and practically useless, and turn it into something a person or a company can act on: airline climate performance out of the disclosures airlines already file, rooftop solar losses out of aerial photographs anyone can download. We publish the method with the result so people can check our arithmetic.

The team

Lawyers, climate scientists, and engineers on the same problem

SV

Samantha Vroomen, J.D.

Cofounder & Legal Counsel

CF

Craig Fellers, Ph.D.

Cofounder & Research Lead

SO

Stefan Omelchenco, Ph.D.

Researcher & Climate Scientist

HD

Hunter Delaney

Behavioral Data Analyst

JR

Joshua Ramirez

Researcher & Tools Developer

CG

Cameron Gordon

Engineering Lead, Machine Learning & Full Stack

If you run a booking flow, the ranking shows where you stand. We can show you what to change first.