What Is The Decision Lab?

The Decision Lab (thedecisionlab.com) is a behavioral science consulting firm that applies decision science and AI to problems in the public and private sectors. It is a good fit to know about if you are looking for a partner to diagnose why people behave the way they do — and to design interventions that change that behavior at scale — rather than a pure research publication or a software vendor.

What the firm actually does

The site frames its work as "frontier behavioral science for the age of AI." In practice, that means combining behavioral science methods with AI and data work to solve applied problems for organizations. The homepage organizes its offer around five areas:

• AI — adoption, trust, and measurement questions around AI systems
• Consulting — engagement with client teams on behavioral problems
• Industries — sector-specific applications
• Resources — research, insights, and case studies
• About Us — who the firm is and how it works

The two entry points it pushes most are "View our work" (case studies) and "How we work" (methodology), which is a useful signal: the firm positions itself on demonstrated outcomes and process, not on a product catalog.

The kinds of problems it takes on

The homepage's featured work gives a concrete sense of scope. Each example is framed as a question, which is a fair summary of how behavioral consulting engagements are usually scoped:

Two things stand out. First, the work spans workforce adoption, consumer influence, health-adjacent personalization, and financial behavior — a wide range, but all of it is about human decisions under uncertainty. Second, the firm publishes its own research alongside client work, including topics like measuring sycophancy in LLM advisors and the ethics of digital nudging. That combination — applied case studies plus methodological research — is the main reason to treat it as a consulting firm with a research arm rather than a content site.

Who its content is for

The site states that over 100,000 leaders and innovators follow its insights, and the featured articles are aimed at that audience: ethical lines in digital nudging, the behavioral ethics of persuasive algorithms, a taxonomy for countering AI-amplified misinformation, and behavioral defenses against deepfakes. If you work in product, policy, HR, or consumer research and need to reason about how people respond to AI-mediated systems, the insights section is the low-commitment way in. If you have a specific behavioral problem to solve, the case studies are the better starting point.

How to engage

The contact route is direct: a short inquiry form on the site (name, work email, and "What are you trying to solve?") plus a general address, [email protected]. The form's phrasing suggests the firm expects a described problem rather than a generic request, so come with a concrete behavioral question and, ideally, the metric you want to move.

What to check before deciding

• Scope fit: confirm your problem is a behavior problem, not a pure engineering or analytics one — the firm's value is in the decision layer.
• Evidence for your sector: browse the case studies for an industry close to yours before reaching out; the published set is a sample, not a complete list.
• Research vs. engagement: the insights and research articles are free to read; consulting work is a separate commercial relationship. The site does not publish pricing, so terms are discussed directly.
• Timeline expectations: case studies describe multi-stakeholder programs (a 20,000-person workforce rollout, a 25M-member platform), which suggests engagements sized for large organizations rather than short one-off studies.