Serious analysis, within more organizations’ reach.

Understanding how a program is doing, whether to expand it, or where to put funding can require more research and analysis than an organization can afford.

Prova has built proprietary systems that bring professional methods and frontier AI together. They organize the investigation, examine information across sources, and make the reasoning available for experienced people to challenge and refine.

We’re using that capability to make rigorous analysis more accessible—and useful while decisions are still open.

The connection between your question and the work it needs

Your work,
strengthened.

You bring the question

What should we change to make our program work better?

Your experience.
Your existing information.
Your priorities and constraints.

We help do the work

Prova

Investigate what is happening, test the assumptions, and help design and carry out a practical change.

  • Professional methods
  • Proprietary systems
  • Frontier AI
  • Experienced people

What you can strengthen

Select an outcome to explore the connection.

Knowledge, tools, and practices you can use again.

Your programs. What should we change to make our program work better? Prova: Investigate what is happening, test the assumptions, and help design and carry out a practical change.

Bring us the question that matters now

Your reports leave an important question unanswered.

The board needs to consider an expansion, a funder wants to understand results, or your team needs to choose what to change. We bring together reports, data, staff knowledge, feedback, and relevant research to establish what can be answered and what would help next. The work can produce an analysis, a recommendation, and a clear account of the remaining questions.

You have an idea worth testing.

A new approach needs a workable study. We help develop the research question, comparison, measures, surveys, and collection plan, then help implement the study and analyze its results. The design takes account of the program, the people involved, and the resources available to carry it out.

Illustrative deliverable

Your program has changed.

Its theory of change, measurement, or information systems may need to catch up. We help revise the account of how the work is expected to produce change and develop the tools and practices needed to learn as it evolves.

Illustrative deliverable

What that work can look like

An illustrative employment follow-up.

A training program records enrollment, attendance, completion, exit surveys, and employer feedback. Its team wants to understand whether participants are in work six months after leaving.

Prova could help turn that question into a follow-up the team can run: a short survey, a collection schedule, clear responsibilities, and an analysis plan that accounts for people who cannot be reached. The team would also establish when to review the results and how they could inform changes to the program.

Estimating the program's effect on employment would require a suitable comparison. We could help assess the feasible options and design that additional work.

Harbor Skills · Measurement & learning

Illustrative excerpt

What to keep, stop, and add.

Three rows from an example Measurement & Learning Plan. Each choice has a practical change, an owner, and a time to act.

Harbor Skills: illustrative measurement choices, actions, owners, and timing
MeasureAction and practical changeOwner / timing
Monthly attendanceKeep

Use the existing register to spot interruptions early.

Program coordinatorReview monthly
Weekly activity logStop

Retire the duplicate log once required fields are confirmed elsewhere.

Operations leadAt the next reporting cycle
Six-month follow-upAdd

Pilot a feasible follow-up and record who could not be reached.

Learning leadTest with one cohort

Harbor Skills is fictional. This excerpt shows part of a possible plan, not client work or a complete study design.

See the full plan and what you receive

How our systems contribute

Research choices affect one another. A comparison changes recruitment and measurement. A survey changes the work expected of participants and staff. A deadline changes which questions can be answered in time.

Our proprietary systems organize research knowledge and these relationships so we can work through the choices together. AI contributes to the research, design, analysis, implementation, and software involved. AI also created the structured body of knowledge behind the systems themselves.

An illustrative design question

Change the question. Work through what else changes.

Describe an outcome

Are participants in work six months after leaving?

Estimate the program’s effect

Did the program improve employment at six months?

The second question changes the work in four connected places.

  1. Changes the evidence needed

    Comparison

    Assess a feasible comparison that can help distinguish the program’s contribution from other explanations.

  2. Changes who is included

    Recruitment and access

    Establish who needs to be included, how they can be reached, and which permissions are required.

  3. Changes what is collected

    Measurement and analysis

    Define comparable outcomes and timing across groups, and plan how missing follow-up will be examined.

  4. Changes what fits the deadline

    Implementation and timing

    Plan collection, staff responsibilities, and any tools around the design. Check when an answer could be ready for the decision.

Illustrative relationships, not a live system result. The feasible design depends on the program, available information, resources, and intended use.

Build the means to keep learning

An engagement can answer a current question and leave something useful behind: an instrument your team can reuse, a clearer collection process, a research library, or a tool for reviewing what is changing. We also develop products for particular research and learning tasks.

Program learning should last longer than one funding cycle. We work with organizations to make inquiry part of how their programs develop, with responsibilities and demands their teams can sustain.

Clear responsibility for the work

The scope identifies who carries out the work, how it is checked, and who is responsible for the professional conclusions. Your organization retains responsibility for its program and funding decisions. An independent review has its own arrangements, including separation from work the reviewer helped create.

An illustrative division of work

What Prova contributes. What your team contributes.

The scope names the actual responsibilities, including what your team will need to provide or carry out.

Illustrative contributions from Prova and your organization at each stage of an engagement
At this pointProva’s contributionYour organization’s contribution
Agree the workHelp define the question, feasible scope, outputs, and fee.Identify the decision, deadline, constraints, and an organizational contact.
Establish the materials and conditionsAgree the information needed and how it may be used.Authorize the agreed access and explain program context.
Develop and carry out the workPerform the research, design, analysis, implementation, or software work assigned in the scope.Provide the input, access, feasibility checks, and collection work assigned in the scope.
Review and use the resultExplain the conclusions, limitations, and responsibilities.Challenge the interpretation and retain responsibility for program or funding decisions.

Time, access, and collection demands depend on the agreed work. Independent review has its own arrangements.

More questions deserve a serious answer

Bring us a program, funding, or research question. We'll work with you to establish what would help, what the work could produce, and how to deliver it.