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Sopact Academy · Measurement & reporting

Measurement and Reporting: From Agreement to Evidence-Based Report

A practical course for funders and the organizations they fund. Agree on what gets reported and what each number means, then follow your road to a report people can compare, check and use.

Academy / Measurement & reporting

Course overview · 13 chapters · About 10 minutes

Measurement and Reporting: From Agreement to Evidence-Based Report

A practical course for funders and the organizations they fund. Agree on what gets reported and what each number means, then follow your road to a report people can compare, check and use.

Two panels. Left, the funder: a portfolio report surrounded by a PDF, an Excel file, a survey export and an email, labelled different formats and definitions. Right, the funded partner: one program surrounded by a quarterly template, an annual narrative, IRIS+ metrics and a board deck, labelled same evidence, rebuilt for every funder.
Everyone reports; few reports can be compared. The fix sits before the report, in the agreement.

Academy / Measurement & reporting

Course progress and additional readings
Measurement & reporting

You will learn: how a funder and a funded partner turn one onboarding call into an agreement, a shared data dictionary and reports that match it, and which of the 13 chapters to open first.

Where this course fits: it is the third step at Sopact Academy. Foundations shows how to keep every record connected to one ID, and your workflow course sets up what you collect. This course starts where those end: at the agreement between a funder and the organization it funds, and the report that follows.

Why are so many reports hard to compare?

In short: because the funder and the funded partner never agreed, in writing, on what gets reported and what each number means. The report is only as good as the agreement behind it.

A portfolio manager at a foundation or impact fund receives PDFs, spreadsheets, survey exports and emails. Each uses its own definitions, so "placed in a job" means within 90 days for one partner and within six months for another. Turning them into one portfolio report takes weeks.

The funded partner has the opposite problem. It reports to several funders, each with its own template, so the same evidence gets rebuilt again and again. Both problems have the same root, and both are fixed at the same moment: the first conversation.

Are you the funder or the funded partner?

In short: both start with the same three chapters. Then the funder checks, rolls up and reports on a portfolio, and the funded partner turns one evidence base into every funder's report.

If you do both, as many intermediaries do, read both roads. Whichever road you are on, start with chapter 1: the agreement is shared.

How does the course fit together?

In short: one agreement, two roads, one toolkit. Three chapters you do together, three for each road, and four toolkit chapters anyone can open at any time.

Course map. Before: collection set up in your workflow course. Start here: from agreement to report. Agree together: 1 turn the onboarding call into an agreement, 2 one change model, four formats, 3 build a shared data dictionary. Funder road: check each report against the agreement, roll up and benchmark the portfolio, write the portfolio report. Funded partner road: map every funder's ask to one evidence base, capture each funder's taste and your own, write each report with AI then check it. A dashed line shows the report crossing over between roads. Toolkit: compare with outside data, make every number match its source, credible dollar value (optional), SROI step by step (optional).
The course map. The funder's report and the partner's report are the same document seen from two sides.

Agree together

Funder road

Funded partner road

Toolkit, any time

Why does the course start with the agreement, not with measurement?

In short: what you collect is designed when you set up your workflow. Measurement is not a separate project; the agreement decides which of those numbers get reported, and what each one means.

Earlier courses set up the forms, the unique ID for every person and the follow-ups that feed your records. By the time a funder asks for a report, the evidence already exists or it does not. What is usually missing is a shared definition of each number and a written list of what is due when.

So the course follows the path a portfolio manager already walks. An onboarding call about goals and the theory of change is recorded and transcribed. The transcript becomes a draft theory of change and a reporting agreement. Reports arrive, get compared with the agreement, and every gap becomes one clarifying question. The same pattern holds for a partner reporting to many funders.

01 · CALL

Goals, the change you expect, how reports are read

02 · AGREEMENT

Metric, plain definition, due date, source

03 · DICTIONARY

Metric, dimension, standard, roll-up

04 · REPORT

Compared with the agreement, gaps become questions

Frameworks are interchangeable: a theory of change, logic model, logframe and results framework are four layouts of the same change model.

What example runs through the course?

In short: a fictional regional workforce fund and its four job-training partners. The funder road follows the fund; the funded partner road follows one of its partners, Partner C, from the other side of the same report.

Workforce fund example · fictional

The fund and its partners agree to report participants enrolled (unique people, not visits), completed training, placement in a job within 90 days of exit, retention in the same job at 12 months, and starting wage by track. When reports arrive, Partners A, B and D report placements within 90 days: 42, 31 and 27, a portfolio total of 100. Partner C reports 55 placed within six months, a different definition, so its number is held until it can count the 90-day rule.

From Partner C's side, the same number was written for a different funder who asked for six months. That is the whole course in one example: an agreement per funder, one evidence base, and a report that says which definition it uses.

Real organizations appear where they show the method at work. AHA Ventures, the investment arm of the American Heart Association, is growing its portfolio from 19 to more than 40 companies, and its head of impact drafts each company's logic model and data dictionary during the onboarding call. Auroville International USA channels more than $1M a year to about 80 project partners, each reporting every quarter against shared definitions.

ASK ANY TOOL, INCLUDING OURS

Bring one real agreement and one partner report to any demo. Ask the tool to list every metric in the report that does not match the agreement, and to show the record behind each number it does report. A good answer names the gaps without guessing values, and every figure opens to its source. In Sopact Sense today, each person or partner keeps one ID from the first form, the AI Assistant only reads the surveys you select, and every line of an answer links to a record you can open.

What will this course not do for you?

It will not make a weak program look strong, or prove that a program caused a result. An agreement makes numbers comparable; it does not make them true. People still decide what a number means, check what AI drafts against the source, and say plainly when a result is missing, self-reported or not comparable.

Where to start

Three numbered steps: record your next onboarding call (goals and theory of change, with consent); draft the agreement and dictionary (metric, definition, due date, source); compare the first report (every gap becomes one question). Below, a quote: It just took 2 prompts and my report was ready, Marco Botha, CEO, Open Play Foundation.
Start with your next onboarding call. The report builds from there.
  1. Record your next onboarding call, with consent, and follow chapter 1 to turn it into a draft agreement.
  2. Turn the agreement into a shared data dictionary and send it to the other side.
  3. When the first report arrives, compare it with the agreement row by row, on the funder road or the funded partner road.

New to connected records? Take Foundations first; its lesson on reviewed reports covers the same idea in brief.

Questions teams ask

What is impact measurement and reporting?

It is how an organization and its funders agree what change a program is meant to produce, which numbers show it, and how those numbers are reported. In this course, measurement is designed when you set up your data collection workflow; reporting starts with a written agreement on each metric's definition, source and due date, and ends with a report whose every number traces to a record.

What is the difference between a theory of change and a logic model?

They describe the same change model in different layouts. A theory of change explains how and why change happens, including the assumptions between steps. A logic model lays the same steps out as inputs, activities, outputs, outcomes and impact. Logframes and results frameworks are two more layouts. Build the model once and re-lay it in the format each funder asks for.

How do funders compare reports from different grantees or investees?

By agreeing each metric's definition before reports arrive, sharing one data dictionary with every partner, and checking each report against it. Only numbers that share a definition are added up; a number counted differently is held and clarified, not added in silently. Optional benchmarks compare a partner with an outside number that uses the same definition.

How can we report to several funders without collecting everything twice?

Keep one evidence base with one ID per person, and map each funder's request to a metric you already hold. When a funder defines a metric differently, report their number and say how it differs, rather than changing your data. Each report takes that funder's format and words; the numbers underneath stay the same.

What is funder taste?

It is how a particular funder reads: the words they use, the proof that moves them, what loses their trust, and the format and rhythm they expect. Capturing it in a short file, next to the agreement and dictionary, helps every report read right. Taste changes the wording and format of a report, never its numbers.

Do we need IRIS+ codes or an SROI ratio?

No. IRIS+ codes are an optional standard that helps when funders compare across portfolios; add them where a code fits your metric. SROI and other dollar values are optional toolkit chapters, worth the effort only when a reader will use the number and your evidence can carry it.

Put this guide into practice.

Bring one reporting agreement and one recent report. We will compare them row by row and show every number next to its source.

Explore Impact Measurement →
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How to Analyze Documents as Evidence: Sources, Context and Review
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Check each partner report against the agreement
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