Your credential means something.
Let’s build the evidence that proves it.
Most credentials are worth more than their organizations can currently demonstrate. The competencies are sound and the intent is there. What tends to be missing is the assessment evidence, the outcome data, and the documented governance that turn a credible claim into a provable one. That is the work JANSON Research & Strategy does, and it starts with a free twenty-minute conversation about whether we are the right people to help.
Six situations, and the evidence that they are not unusual
Almost nobody contacts us because their credential is failing. They get in touch because one specific thing has become difficult to defend. Our 2026 provider study suggests that whichever one it is, you are in a great deal of company. Open any situation to see what we would do about it.
Build a minimum viable evidence system: three to five outcome measures tied to what your credential actually claims, a six-to-twelve month follow-up people will realistically complete, and analysis you can hand to whoever is asking.
Credential-holder outcome research →Map every competency claim against the evidence actually collected, so the gap is visible rather than suspected. Then add richer evidence only where the claim requires it — not everywhere, which is how assessment reform usually stalls.
Competency frameworks and assessment strategy →Inventory how AI is actually being used, including the informal use nobody has logged, then turn the human review you already do into written protocol: approved uses, prohibited uses, validation criteria, and named accountability for high-stakes decisions.
AI readiness, policy, and workflow design →Build the sensing mechanism: which external signals you watch, what triggers a review, who decides whether a change matters, and how that decision flows into competencies, content, and assessment. A calendar reminder is not a system.
Currency systems and change detection →Treat it as a budget and ownership problem, because that is what it is. We cost the work honestly, sequence it so something produces usable evidence inside ninety days, and help you argue for it internally rather than absorbing it heroically.
Operating model and business case →Name the specific barrier the program is trying to reduce, then measure whether it moved — participation, completion, time-to-completion, pass rates — using privacy-safe thresholds so small cohorts stay protected and the numbers stay usable.
Equity and access measurement →We ran the study because nobody had asked providers these questions all at once.
The Currency of Credentials is a provider-side study of quality, relevance, assessment, AI practice, and value in U.S. credential programs — twelve exhibits, six findings, and a ninety-day roadmap. The figures on this page come from it.
Its central finding is that across five unrelated parts of the credential lifecycle, intent consistently runs ahead of infrastructure. Reading it is genuinely optional. The consultation works either way.
Independent research and design work, matched to the gap you actually have
We work with professional associations, certification bodies, training providers, education organizations, and internal workforce programs. Engagements are scoped to the capacity you have, not the capacity a consulting deck assumes.
Independent credential program audit
Independent credential program audit
A structured current-state review of what your credential claims, what evidence supports it, how it is maintained, and what outcome data exists. You leave with an evidence map and a prioritized gap register.
Competency frameworks and assessment strategy
Competency frameworks and assessment strategy
Construct-to-evidence mapping shows where the credential promises more than it demonstrates. Then the design work: practitioner-validated frameworks, and richer methods only where the claim requires them.
Currency systems and change detection
Currency systems and change detection
Defined signals, review triggers, named owners, and a path from detected change through to revised competencies, content, and assessment. Job-task research where the picture needs rebuilding.
AI readiness, policy and workflow design
AI readiness, policy and workflow design
An inventory of real AI use, including the informal kind nobody has logged. Then approved uses, prohibited uses, validation criteria, and explicit human accountability for high-stakes decisions.
Credential-holder outcome research
Credential-holder outcome research
A focused set of measures tied to what your credential actually claims, a follow-up people will complete, and analysis you can put in front of a board or a funder. Equity measurement designed alongside it.
Operating model and business case
Operating model and business case
Quality infrastructure has recurring costs: SME time, assessment development, psychometrics, governance, data systems. We cost it, sequence it, assign it, and help you argue for it internally.
A short conversation first, and you can stop there
The consultation
Deliberately short. You describe the program and what has become hard to defend; I tell you whether this is work we do and what it would take from your team. If we are not the right help, I will say so.
An independent diagnostic
The current-state review, run from outside your team. You get an evidence map and a prioritized gap register — yours to act on with us or without us.
A sequenced roadmap
Design and pilot work on whichever systems you need, phased so something produces usable evidence inside ninety days.
Capability, not dependency
The goal is not to replace the expertise already inside your organization. Most credentialing teams know their occupation far better than any outside adviser will. What they need is a system that holds after the project ends — documented, owned, and funded — not a consultant on retainer.
If the outcome of a conversation is that you now know what to do and can do it yourselves, that is a good outcome.
“Credential quality should be treated as an operating system, not a one-time design project.”
The Currency of Credentials, p. 5
Work is grounded in original research rather than borrowed frameworks. Where the evidence is thin, we say so — including our own.
Worth twenty minutes if…
- You run or oversee a certification, certificate, microcredential, or internal workforce credential
- You suspect the credential claims more than its assessment evidence supports
- You are being asked for outcome or equity data you don’t currently collect
- AI has entered your workflows faster than your policies
- You need to make the internal case that quality work requires budget and an owner
It probably isn’t if…
- You need accreditation preparation specifically — that is a different specialist’s job
- You need psychometric services alone, without the surrounding program questions
- You want someone to validate a decision that has already been made
- The real constraint is that nobody internally believes the credential needs to change
Dr. Elisa Janson Jones
Principal of JANSON Research & Strategy and the researcher behind The Currency of Credentials. EdD in Instructional Design, MBA, CAIC™, CITI-certified researcher. Twenty years spent bridging education and technology — building credential programs, and completing plenty of them.
That dual vantage point is deliberate. I have made the trade-offs you are making, and I have sat the exams that resulted.
National mixed-methods research
JANSON designs and runs original studies for organizations that need evidence rather than opinion — instrument design, recruitment, analysis, and publication-grade reporting. The credentialing work described here grew directly out of that practice.
Start with the gap that is costing you the most.
Bring whichever situation on this page sounded like yours. Most engagements begin from one question a leadership team could not answer.