EvalSmart drafts evaluation questions, indicators, evidence gaps, and methods-ready planning artifacts — then uses repeated-run consensus to show what is stable, what varies, and what needs human review.
For higher education, K–12, and nonprofit program teams.
Same pieces. Clearer structure. Human judgment still decides.
Reorganizing messy evaluation information into a plan you can review.
EvalSmart does not replace evaluation judgment. It gives that judgment a clearer structure to work from.
From a few plain-language paragraphs about a program, EvalSmart drafts the components of a defensible evaluation — each one written to be checked, not trusted on sight.
Plain paragraphs about your program go in. Every drafted item comes back labeled — so you can see at a glance what the program stated, what EvalSmart inferred, and what is still a gap.
One AI draft can vary from run to run. EvalSmart runs repeated planning passes over the same program. Themes that recur become the backbone of the plan; one-off suggestions are set aside for a person to review rather than presented as settled.
Items that recur across runs — your high-confidence planning candidates.
Where runs differ, the alternatives are kept side by side for you to choose between.
One-offs and readiness disagreements are flagged for review, never presented as settled.
AI assists. You verify. You decide.
See an illustrative consensus example →. For the full plan, or to scope one for your program, please use the contact form.
Three illustrative, fictional programs — a global youth nonprofit, a medical-education clerkship, and an academic-library service. For each, see the program description a client brings in, then the question-led case study and a short sample of the plan. The full executive brief and technical plan are available on request. Consensus mode is the repeated-run, stability-tagged version you can defend.
A global, mentor-led youth program that needs to show funders real impact — without a comparison group, and with honest data-governance limits.
Read the case study →A multi-site clerkship asking whether it can defend competency, site equivalency, and rater reliability.
Read the case study →A by-appointment research-help service heading into program review — can it show impact, not just usage?
Read the case study →EvalSmart does not rely on a single draft when decisions matter. Consensus mode runs the planning workflow multiple times, compares outputs, and flags which evaluation questions, measures, gaps, and recommendations are stable versus needing human review. The result is not an automatic verdict — it is a clearer review package for evaluators and program teams.
Full plan on request — please use the contact form.
EvalSmart is in limited preview while we refine it — there's no charge during the preview. Tell us a little about your program and we'll prepare a sample evaluation plan for you to review.
A single-run draft for early scoping. No stability tags.
Repeated-run and stability-tagged — the defensible artifact for accreditation, grant reporting, and CQI.
A person reviews and refines an existing plan or set of measures with you.
Every plan is delivered as an AI-drafted, review-ready draft — built for you to verify and finalize, not a finished evaluation.
What you receive is a draft to verify and finalize — not a finished evaluation, accreditation decision, or analysis of protected data.
Please don't submit identifiable student, patient, client, or employee data. Previews are designed for program descriptions and evaluation planning, not analysis of protected records. Standards references for LCME, ACGME, and ESSA / state frameworks are contextual prompts to verify with your institution before any compliance use. How we handle your data →
We reserve limited monthly capacity for U.S.-based 501(c)(3) nonprofits that need help turning program descriptions or reporting questions into a practical evaluation plan.
Inquire about the program →Tell me a little about your program or what you need, and I'll get back to you — usually within a couple of business days.
Prefer email? Reach me at contact@evalsmart.io.