Field makes evaluation-caliber analysis and learning fast and affordable for nonprofits and foundations.

Field uses Prova’s proprietary AI systems to read across the program files, reports, data, notes, and relevant studies scattered throughout an organization. A Field principal turns that material into clear answers for the board, funder, or program decision that matters now. Field is the first practice from Prova, which develops the method and systems behind the work.

For nonprofit leaders—and foundations giving grantees room to work through questions that matter.

You may already have all the information. But it's never been analyzed to inform time-bound decisions.

A board meeting, public claim, or program choice can demand a clear answer now. The useful material is usually spread across program files, grant reports, staff notes, data, and years of learning.

Field brings the two sides together.

Inside the work

What the program team knows.

Detailed knowledge built by running the program and working with people every day. It is spread across files, notes, meetings, and the people who carry the work.

Ready to use

What the organization can stand behind.

Clear conclusions tied to sources, with the limits stated plainly enough for a board, funder, partner, or leadership team.

Answer the question due now. Build what the program will need next.

Three focused engagements move from the information you already have, through the assumptions behind the program, into measurement that becomes more useful over time.

01 · Existing material

Claims and Sources Map

See what sits behind the claims you already make—and where the support is thin or missing.

See if it fits

02 · Program logic

Research-Linked Theory of Change

Make the assumptions beneath the program visible, then connect them to relevant research and local learning.

See if it fits

03 · What comes next

Measurement Architecture

Choose measures, workflows, and review points that fit the decisions your team makes and how the program actually runs.

See if it fits

Prova’s AI systems read across more of what your organization already knows.

The systems help Field read across program files, reports, notes, and relevant research, then connect important conclusions back to their sources.

Prova combines frontier models, authored logic, source handling, traceability and human review. That makes it possible to extract, compare, and synthesize information across far more material than a traditional review could cover.

AI addresses a specific constraint: the time required to read all of this together. Models can miss context and produce confident mistakes, so Field adds professional review and brings the organization’s context into the interpretation. The reading scales. Consequential judgment stays human.

ProvaModel-independent
01

Frontier models

High-volume reading, structured extraction, comparison, and synthesis.

02

Authored domain logic

Field’s structured rules for claims, sources, limitations, and measurement.

03

Senior review

A Field principal brings context, interpretation, and judgment.

04

Source traceability

Important conclusions stay connected to the files, reports, and research behind them.

Result Clear conclusions you can inspect, use, and stand behind.

What that looks like when it reaches you.

A Claims and Sources Map puts each claim beside the files, data, and research behind it—and makes the limits clear.

See the three engagements
Claims and Sources MapIllustrative
The claimSupport
85% of enrolled participants complete the programstrong
Employer partners value the placementspartial
Participants leave with more confidencethin
Illustrative example — not client work

For Nonprofits

Know what you can stand behind.

For nonprofit leaders who need clearer board and public communications, better program decisions, and measurement their teams can maintain.

Field for nonprofits

For Foundations

Give a grantee room to work through a question that matters.

For foundations that want to make senior measurement support available through one defined engagement. The grantee sets the question, selects the materials, and decides what is shared.

Field for foundations

A defined engagement, not an open-ended consulting process.

  1. 01

    Start with the deadline and decision

    We clarify the board question, public claim, program choice, or measurement decision that needs an answer.

  2. 02

    Choose the useful materials

    You decide which files, reports, program data, and research belong in the work. Field does not need direct access to your operational systems.

  3. 03

    Read across them, then review

    Prova’s AI systems handle the intensive reading and comparison. A Field principal reviews the analysis and brings your program context into the interpretation.

  4. 04

    Put the answer to work

    You receive clear, source-traceable work built for the decision or measurement choice in front of you.

Prova.

The thinking behind Field.

Field is the practice. Prova is the intellectual architecture—a thesis about what honest evidence requires, what AI changes and what it doesn’t, and why the institutions that produce evidence matter as much as the evidence itself.

Read the thesis and the method behind the work

See where Field could help.

Answer five practical questions. Field Discovery will suggest a useful place to begin and show the details that matter for that path.

Try Field Discovery