Argue from the data what works here. Draft with peers, take feedback, revise—and leave a record of how you worked.
Explore · Practice · Evidence
The MeritInstitute
Find the work you’re capable of.
Merit helps ambitious people build capability for consequential work—and helps organizations discover what people can actually do.
Explore the work. Practice it. Get better at it. Build evidence.
Free for individuals and nonprofits.
Capability is built through work.
The people shaping important fields are rarely defined by a conventional job title. They work across policy, economics, governance, research, technical writing, product, and other emerging domains where the requirements change faster than traditional career paths can describe.
Merit gives people a way to understand what excellent work requires, develop those capabilities through practice, and demonstrate them through evidence.
Find your path
Fields where consequential work is hard to define on a résumé—and where practice matters more than pedigree.
Policy & Governance
Develop the judgment required to analyze institutions, incentives, regulation, and emerging technologies.
Research
Build the ability to interrogate evidence, review difficult work, synthesize knowledge, and form sound conclusions.
Economics
Practice analytical reasoning on problems where incentives, uncertainty, and institutional context matter.
Technical Writing
Develop the craft of translating complex technical and research material into clear, useful understanding.
Product & Strategy
Practice making decisions where information is incomplete, constraints conflict, and the consequences matter.
Don’t wait for the job to start doing the work.
Many people know what kind of work they want to do long before they have the opportunity to do it professionally. Merit gives you a way to cross that gap.
Understand the capabilities a field requires. Work on realistic problems. Receive feedback. Improve. Build a body of evidence that shows how you think and what you can produce.
Your experience becomes more than a list of claims. It becomes demonstrated capability.
See what people can actually do.
Traditional hiring relies heavily on proxies: institutions, titles, credentials, interviews, and previous employers. Those signals become weaker as roles become more interdisciplinary, technical, and difficult to define.
Merit gives organizations another layer. See people working through consequential problems—their reasoning, judgment, craft, collaboration, and response to feedback. Develop promising people before you need to hire them. Identify talent that conventional pipelines overlook.
A better signal than a résumé.
A résumé tells you where someone has been. An Evidence Profile shows what they have demonstrated.
Merit brings together evidence from real work: the quality of someone’s output, their understanding of the subject, how they reason through difficult problems, how they collaborate, and how they respond to feedback.
The result is a richer picture of capability that can move with a person across opportunities.
Blueprints. Practice. Evidence.
Together, these create a continuous loop: understand, practice, improve, demonstrate—then opportunity.
Blueprints
Understand what excellent work requires in emerging and difficult-to-define fields.
Projects
Put those capabilities into practice through realistic work with other people and experienced practitioners.
Evidence
Capture what was demonstrated and how capability developed over time.
Understand → Practice → Improve → Demonstrate → Opportunity
Where capability meets opportunity
Merit connects people who want to become exceptional at consequential work with the experts and organizations already doing it.
People come to build capability and demonstrate what they can do. Experts contribute standards, judgment, and experience. Organizations discover and develop talent.
The result is a system in which opportunity is based less on what someone can claim and more on what they can demonstrate.
Capability assessment as an empirical discipline.
Merit studies how human capability can be understood, developed, and demonstrated across complex domains—epistemic judgment, collaboration, human–AI interfaces, and the changing nature of expert work.
