How Does The Decision Lab Work With Client Organizations?

Updated

The Decision Lab works with client organizations through consulting-led engagements that apply behavioral science and AI to specific problems in the public and private sectors. The work is framed around a question the client is trying to solve, and the engagement typically moves from problem definition to applied research and measurement. Organizations start by describing their problem through the contact form on the site or by emailing [email protected], and a team member follows up.

What an engagement looks like

The site presents the firm's work as a set of problem-led case studies rather than a fixed service menu. Each case study is framed as a question, which shows how the firm scopes work with clients:

Client type Problem framing on the site Method signal
Fortune 500 HR technology company How do you get 20,000 employees to actually use AI? Building AI trust across a large workforce to drive adoption
Digital wellness platform How do you use AI to personalize care for 25M members? Decision intelligence
Unnamed platform (influence study) How do you measure a platform's real influence on what people buy? Simulated environments
American Financial Solutions Preventing debt repayment dropouts Predictive modeling
A bank Defining the bank's next decade of AI Applied research

The pattern: the client brings a concrete behavioral or adoption problem, and the firm combines research methods with AI to define, test, and measure a response.

The methods clients can expect

Based on the published work, engagements draw on several applied methods:

  • Simulated environments — used to test how a platform or intervention affects real decisions, such as purchase behavior, before or alongside live deployment.
  • Predictive modeling — used to identify who is likely to drop off (for example, debt repayment dropouts) so interventions can be targeted.
  • AI adoption and trust work — helping large workforces actually use AI tools, not just deploy them.
  • Decision intelligence — applying AI to personalize decisions at scale, as in the 25M-member care example.
  • Applied research and measurement — including published research such as work on sycophancy in LLM advisors and cultural fit in mental-health LLMs.

How the process starts

  1. Describe the problem. The contact form asks for your name, work email, and "What are you trying to solve?" The site also lists [email protected].
  2. Team follow-up. The site states that filling in the form prompts a member of the team to reach out.
  3. Scoping around the problem. Given how the case studies are framed, expect the first conversations to center on the specific decision or behavior you want to change, and which methods (simulation, modeling, research) fit.

Who this fits

The published clients are large organizations — Fortune 500 companies, financial services firms, digital health platforms, and a bank — with problems that involve getting people to adopt a tool, change a financial behavior, or make better decisions at scale. The firm also positions its insights as read by "over 100,000 leaders and innovators," and publishes research and articles on topics like digital nudging ethics, persuasive algorithms, and misinformation defenses.

If your problem is a behavioral or adoption challenge inside a sizable organization, the case-study pattern suggests a fit. If you need a fixed-scope product or self-serve tool, the site does not describe one; the model shown is consulting engagement via inquiry.

Practical notes

  • The site does not publish pricing or engagement terms; those would come up in the follow-up conversation.
  • The contact form is the stated entry point, so prepare a one- or two-sentence problem statement before submitting.
  • Reading the case studies first helps you match your problem to a method the firm has already applied.