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Start With a Framework — Build a Theory of Change

Describe your program and Sopact Sense draws the causal chain inline — inputs through impact — and grades every link by how much evidence backs it. For when you know what you do but have never shown why it works.

<aside class="ci-wizard" aria-label="Case Intelligence series navigator"> <div class="ci-wiz-eyebrow">The Case Intelligence Series</div> <div class="ci-wiz-sub">13 chapters · foundation + two tracks</div> <div class="ci-progress"><span style="width:15%"></span></div> <div class="ci-progress-label">You’re here — Chapter 2 of 13</div> <div class="ci-group">Foundation</div> <ol class="ci-steps"> <li class="ci-step is-done"> <a href="/academy/what-is-case-intelligence" target="_blank" rel="noopener"> <span class="ci-num">1</span> <span class="ci-step-body"><span class="ci-step-title">What Is Case Intelligence?</span></span> </a> </li> <li class="ci-step is-active" aria-current="step"> <span class="ci-num">2</span> <span class="ci-step-body"><span class="ci-step-title">How to Build a Theory of Change That Survives Funder Questions</span><span class="ci-step-meta">You’re here</span></span> </li> <li class="ci-step "> <a href="/academy/theory-of-change-to-data-collection-workflow" target="_blank" rel="noopener"> <span class="ci-num">3</span> <span class="ci-step-body"><span class="ci-step-title">How to Turn a Theory of Change into a Data-Collection Workflow</span></span> </a> </li> </ol> <div class="ci-group">Nonprofit Track</div> <ol class="ci-steps"> <li class="ci-step "> <a href="/academy/review-applications-without-reviewer-bias" target="_blank" rel="noopener"> <span class="ci-num">4</span> <span class="ci-step-body"><span class="ci-step-title">How to Review Applications Without Reviewer Bias</span></span> </a> </li> <li class="ci-step "> <a href="/academy/intake-form-usable-baseline" target="_blank" rel="noopener"> <span class="ci-num">5</span> <span class="ci-step-body"><span class="ci-step-title">How to Design an Intake Form That Captures a Usable Baseline</span></span> </a> </li> <li class="ci-step "> <a href="/academy/spot-at-risk-participants-mid-program" target="_blank" rel="noopener"> <span class="ci-num">6</span> <span class="ci-step-body"><span class="ci-step-title">How to Spot At-Risk Participants Mid-Program</span></span> </a> </li> <li class="ci-step "> <a href="/academy/measure-change-at-exit" target="_blank" rel="noopener"> <span class="ci-num">7</span> <span class="ci-step-body"><span class="ci-step-title">How to Measure Change at Exit (Not Just Completion)</span></span> </a> </li> <li class="ci-step "> <a href="/academy/mentor-notes-early-warning" target="_blank" rel="noopener"> <span class="ci-num">8</span> <span class="ci-step-body"><span class="ci-step-title">How to Catch At-Risk Participants Early with Mentor Notes</span></span> </a> </li> <li class="ci-step "> <a href="/academy/calculate-sroi-live" target="_blank" rel="noopener"> <span class="ci-num">9</span> <span class="ci-step-body"><span class="ci-step-title">How to Calculate SROI — Live, Sourced, and Honest</span></span> </a> </li> <li class="ci-step "> <a href="/academy/cohort-to-funder-impact-report" target="_blank" rel="noopener"> <span class="ci-num ci-num-range">12a</span> <span class="ci-step-body"><span class="ci-step-title">How to Turn a Cohort into a Funder Impact Report</span></span> </a> </li> </ol> <div class="ci-group">Social Enterprise Track</div> <ol class="ci-steps"> <li class="ci-step "> <a href="/academy/job-description-requirements-checklist" target="_blank" rel="noopener"> <span class="ci-num ci-num-range">10</span> <span class="ci-step-body"><span class="ci-step-title">How to Turn a Job Description into a Requirements Checklist</span></span> </a> </li> <li class="ci-step "> <a href="/academy/score-candidate-role-matches-without-bias" target="_blank" rel="noopener"> <span class="ci-num ci-num-range">11</span> <span class="ci-step-body"><span class="ci-step-title">How to Score Candidate–Role Matches Without Bias</span></span> </a> </li> <li class="ci-step "> <a href="/academy/cohort-to-investor-impact-report" target="_blank" rel="noopener"> <span class="ci-num ci-num-range">12b</span> <span class="ci-step-body"><span class="ci-step-title">How to Turn a Cohort into a Social-Enterprise Investor Report</span></span> </a> </li> </ol> <a class="ci-next" href="/academy/theory-of-change-to-data-collection-workflow" target="_blank" rel="noopener">Continue to Chapter 3 &nbsp;→</a> </aside> <style> .ci-wizard{--ink:#48416A;--body:#3D3A33;--muted:#76716A;--surface:#F7F6FD;--surface2:#EFEAFB;--line:#E4DFF2;--line2:#DCCEF4;--accent:#8D8AE8; 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How to Build a Theory of Change That Survives Funder Questions

Describe your program in plain words, and this guide turns it into a funder-ready theory of change — a causal diagram from inputs to impact, with every link graded by the evidence behind it. You run four short prompts; each returns one concrete piece; the last one draws the diagram.

The grading follows rules, not judgment, so the same program description produces the same diagram every time — and every claim in it points to the words that back it up.

For social purpose organizations

You get the four things a funder asks for, in the order they ask: the visual theory of change; an assumption-and-indicator table naming what each arrow depends on and how you would measure it; a weak-link diagnosis showing where your chain is thinnest; and an improvement plan — the one action this quarter that strengthens the weakest link. Built for early-stage teams: no evaluator, no two-day workshop, no blank template.

For funders (grant managers and impact managers)

Your grantees and investees already send you theories of change — as diagrams, proposal narratives, or interview transcripts. Sopact turns each submission into an audited theory of change: every causal link graded by the evidence behind it, so you and the grantee can agree on which chain of impact matters most — and focus the reporting there.

  • Intelligent Cell audits whatever is submitted. It reads the grantee's theory, proposal, or transcript and grades every causal link against the evidence, pinning each judgment to the exact words that support it — so "we believe" becomes "here's who said so."
  • Intelligent Row gives every grantee one ledger. One row per promised outcome: the measure behind it, the evidence collected so far, and whether the link is proven, thin, or untested — comparable across your whole portfolio.
  • Ask questions across the portfolio. "Which grantees have the weakest evidence behind their outcome claims?" The Sopact assistant answers from reports, surveys, and qualitative data together — inside Sense, or from Claude or ChatGPT via MCP.
  • Get told when a link goes thin — automatically. When incoming reports contradict or stop supporting a causal link, Intelligent Cell flags it and notifies you — so course-correction happens mid-grant, not at the final evaluation.

The result: grantees spend their energy strengthening the strongest chain of impact instead of reporting on everything.

That's the full block, ready to paste — opening answer for the "how to build a theory of change" query, then the two audience halves: organizations build it with the four prompts, funders audit what's submitted. One reminder from earlier: keep the H1 and title tag consistent (the live page currently says "…with AI, in Minutes").

Part of the Case Intelligence series · Chapter 2

In Chapter 1: What Is Case Intelligence? we defined the idea — every stakeholder who moves through your organization over time is a case, and their whole journey should read as one connected, continuously analyzed record. But no record can be intelligent about outcomes nobody has named. That is this chapter's job: state the change you intend to cause, clearly enough that data could one day confirm or deny it.

A theory of change is the most common way to do that, and the one this series uses. If your organization works in a different tradition, the equivalents serve the same purpose and the rest of the series works identically: a logic model, a logframe, or a results framework. Build one, whichever it is — Chapter 3 turns it into a data-collection plan.

The process. Four steps, about four hours of focused work plus a week for team feedback. First, Extract — the prompt reads your program and returns a graded evidence table. Second, Write — it turns that table into a two-page grant-ready narrative. Third, Refine — it reviews the draft as a skeptical funder and hands back a prioritized fix list. Fourth, Visualize — it draws the final color-graded diagram you submit.

What you will have at the end. One submission-ready Theory of Change — a clear diagram you can put straight into a grant application, and a short written case behind it — that your own team built, can defend line by line, and can re-run as the program evolves.

What a Theory of Change is

A Theory of Change answers one funder question: how does your program cause the change you claim? It has two parts — a visual diagram that traces your program chain from what you put in to the change you create, and the evidence behind each link, graded honestly as strong, thin, or missing. The grading is the point: a funder trusts a diagram that shows where the evidence is solid and where it is still being built, far more than one that colors everything green.

The process — four prompts, about four hours

You build one artifact. Each step is a prompt you paste into ChatGPT, Claude, or Sopact Sense, and each returns something you can see. Run them in order; re-run any of them as your program evolves.

Step
Prompt does
You get
Time
1. Extract
Reads your program
A graded evidence table
30 min
2. Write
Explains the logic
A grant-ready narrative
1–2 hrs
3. Refine
Reviews the draft
A prioritized fix list
1 week
4. Visualize
Draws the chain
A clear Theory-of-Change diagram
1 hr

Worked example throughout: the Lantern Network Mentoring Program.

Step 1 · Extract — build a graded evidence table

Paste your program description (or its URL). This prompt reads only what the text states and returns one row per element, graded by a fixed rule — green when the source gives a real figure, amber when the element is named but unmeasured, red when it is not stated at all. Because the rule is mechanical, the table comes out the same every run.

Extract my program's Theory of Change from the SOURCE, using ONLY what it states: [PASTE PROGRAM DESCRIPTION OR URL]. Build one row per item across these fixed stages in order — Inputs, Activities, Outputs, Short-Term Outcomes, Long-Term Impact, Community Impact. Label each with the shortest exact phrase from the source; put any figure in a Figure column. Grade each: GREEN if stated with a quotable figure (number, %, rate, timeframe, or defined population); AMBER if stated with no figure; RED if not stated. Never invent items; if a stage has none, write 'Not stated'. Output: Stage | Item | Figure | Grade. The same source must give the same table every run.

Output · graded evidence table (Lantern Network)

Output · graded evidence table (Lantern Network)
StageItemFigureGrade
InputsBlack college students & young professionals (18–24)288GREEN
Activities1:1 mentoring, soft skills, financial literacy, job placementnoneAMBER
OutputsInternships / job shadowing delivered251GREEN
Short-termPlacement in jobs / internships87%GREEN
Short-termCareer clarity, professional skills, financial knowledgenoneAMBER
Long-termSustained employment, career advancement, economic independencenoneRED
CommunityBlack leadership representationnoneRED
Proven vs. assumed: scale and placement (87%) are evidenced; confidence, retention and wages are assumed. Weakest link: short-term outcomes → long-term impact.

This table is the single source of truth — every later step reads from it, which is what keeps the visual consistent.

Step 2 · Write — the grant-ready narrative

The table is the skeleton; this prompt writes the case. It turns the graded rows into a short narrative — the problem, the theory, and an honest account of what is measured versus what is not — quoting only figures that appear in your source.

Using the graded table above, write a two-page grant-ready Theory of Change narrative for [PROGRAM NAME]. Three parts: THE PROBLEM (who is affected, with evidence); OUR THEORY OF CHANGE (inputs to activities to outcomes to impact, naming the assumption under each link); CURRENT EVIDENCE AND GAPS (what is measured well, what is missing, and the one indicator that would close each gap). Never invent data; every figure must come from the table. Confident, funder-ready tone.
Output · 2-page narrative (Lantern Network)

Theory of Change — Lantern Network Mentoring Program

Grant-ready narrative · draft for review

The Problem

288 Black college students and young professionals (18–24) face a network-and-confidence barrier, not a skills barrier: they graduate capable but without a single contact in their target field.

Our Theory of Change

We pair each with an industry mentor and provide soft-skills, financial-literacy, and job-placement support (activities); we have delivered 251 internships (outputs); 87% secure a job or internship (short-term); the aim is sustained employment and, ultimately, Black leadership representation (long-term & community).

Current Evidence & Gaps

Strong: 288 served, 251 placements, 87% placement verified by employers. Missing: no confidence baseline, no 6- or 12-month retention, no wage tracking, no leadership-representation measure. Next indicator to add: one confidence question at intake and at six months.

Step 3 · Refine — a structured review

Before anyone outside sees it, this prompt acts as a skeptical reviewer and returns a prioritized fix list, rewriting your weakest sentence as an example. One or two rounds is enough.

Act as a skeptical funder reviewing the narrative below: [PASTE NARRATIVE]. For each section: is it accurate, what is missing, do the causal links hold or are we assuming, and what would you challenge first? Return a prioritized fix list (most important first) and rewrite the single weakest sentence as a worked example.
Output · prioritized fixes (Lantern Network)
HIGH

Short-term outcomes have no measure — add one intake and one six-month confidence question so the claim stops being anecdotal.

HIGH

Define “placement” and its window — 87% of what, measured when?

MED

State the assumption between mentoring and confidence explicitly; right now it is implied.

LOW

Tighten the problem statement to two sentences.

Weakest sentence · rewritten

✗ “Participants gain confidence and go on to succeed.”

✓ “87% of participants secured a job or internship within twelve months; we are adding a confidence measure to test the step before it.”

Step 4 · Visualize — draw the Theory of Change

The last prompt renders the graded table into the diagram you submit — five stages left to right, each box colored by its grade, with the assumptions you are testing and an honest evidence-status panel beneath. Because it draws straight from the table, the picture matches the grades exactly, every time.

Using the graded table above, render a Theory of Change diagram for [PROGRAM NAME]. Five columns left to right — Inputs, Activities (show outputs as bold figures), Short-Term Outcomes, Long-Term Impact, Community Impact. Place exactly the graded items, colored by grade: green #2E7D46, amber #C77800, red #C0362C. Below the diagram add three panels — Strong / Incomplete / Missing — listing the green, amber, and red items, plus the key assumptions being tested and a legend. Do not add or recolor any item; the diagram must match the table.

Lantern Network: Theory of Change

How mentorship creates career success and economic independence

Lantern Network: Theory of Change

How mentorship creates career success and economic independence

Inputs
288 Black college students & young professionals (18–24)
Barrier: no mentor networks
Activities
1:1 mentoring
Soft skills training
Financial literacy
Job placement support
251 internships / job shadowing
Short-term Outcomes
Career clarity
Professional skills
Financial knowledge
87% placement in jobs / internships
Long-term Impact
Sustained employment
Career advancement
Economic independence
(measuring next)
Community Impact
Black leadership representation
(to measure)
Key assumptions we test

1. Mentorship causes placementNot just self-selection of motivated people

2. Soft skills are the gapNot lack of job availability

3. Sustained support mattersOne mentor relationship creates lasting change

4. This works long-termJobs stick and careers progress

Current evidence status

✓ Strong

  • 288 mentees served
  • 87% placement verified
  • Employer confirmations
  • 3 detailed success stories

⚠ Incomplete

  • No skills pre/post survey
  • No confidence baseline
  • No 6-month follow-up
  • No wage tracking

✗ Missing

  • Leadership representation
  • Long-term earnings
  • Job retention at 12 months
  • Community impact metrics
How to read this diagram
What we provide (inputs / activities)
What participants gain (short-term outcomes)
Long-term change we are building toward

How to read this diagram

What we provide (inputs / activities)

What participants gain (short-term outcomes)

Long-term change we are building toward

This is the artifact you submit. The colors are not decoration — a funder reads the pattern of green, amber, and red at a glance and knows exactly what to ask for.

What you have at the end

After four prompts you hold a complete package: a graded evidence table, a two-page narrative, a prioritized fix list, and the diagram above — all consistent, because each step reads from the same table. It is submission-ready, and because your team built it, your team can defend every box.

Want the grading and evidence connected to real data?

Sopact Sense builds the Theory of Change from your program, grades every link, and keeps the diagram tied to the data that proves it — so the picture updates as the evidence comes in.

Try it in Sopact →

Next in the Case Intelligence series

Chapter 3 · How to Turn a Theory of Change into a Data-Collection Workflow — your theory now makes promises; Chapter 3 decides what to measure for each one, where and when to collect it, and which workflow to stand up first.

Ready to try it for yourself?

Open Sopact Sense, paste your program description, and put it to work.

Try in Sopact