Nonprofit Program Intelligence
Right now, your theory of change lives in a Google Doc. Survey data is in Airtable. Financial reports arrive as PDFs. Qualitative notes sit in Excel. And two different teams are translating the same field data. Sopact unifies every data source — surveys, documents, interviews, offline collection — into one intelligence layer that generates program reports in minutes, not months.
Membership/Assocaition/TRADE UNION
multi Program data centralization
Charitable impact reporting
Youth/STEM
Health & human Resources
Your current program data
📊
Youth_Program_Survey_Q3_Airtable.csv
Stale
📄
Theory_of_Change_v4_FINAL_revised.docx
8 months ago
📋
Field_Notes_Nairobi_translated_ES.xlsx
Unread
📁
Partner_A_Financials_Q2_2024.pdf
Late
📱
Offline_KoboToolbox_submissions_batch7.xml
3 weeks ago
🎤
Beneficiary_Interview_Transcript_PT.docx
Unread
📧
RE: Missing metrics — follow up needed
5 days ago
80%
of staff time spent on data cleanup. Funder report is due in 2 weeks.
4 min
AI codes 1,000 qualitative responses — was 3 months of consultant time
0
Manual data reconciliation between systems — unique IDs do it
95%
Of program context used for learning — not just the 5% that fits a dashboard
40+
Languages supported — collection, analysis, and reporting
Theory of Change
Data Collection
AI Analysis
Continuous Reporting
System Integration
The real problem
You started with a theory of change. Then came the spreadsheets. Then the partner reports. Then the translations. Here’s how the cycle actually plays out:
Month 1
Program Start
Theory of change drafted in Google Doc. Indicators undefined.
Month 3
Data Arrives
Survey results in Airtable. Offline KoboToolbox data arrives. No unique IDs across systems.
Month 5
Translation Bottleneck
Field notes in Spanish/Portuguese. Interview transcripts waiting for manual translation and coding.
Month 9
Funder Report Due
Scramble to compile data from 5+ sources. Report takes 3 weeks. Key qualitative insights are missed.
With Sopact
Continuous Intelligence
Program report generated in 4 minutes. Qualitative + quantitative unified. Every data point traceable.
Pre/Post Surveys — Airtable
1,200 rows
No IDs
Offline — KoboToolbox
340 records
Unsynced
Interview Transcripts — GDrive
28 files
Unread
Partner Financial Reports — PDFs
12 files
Mixed fmt
80%
of collected data is never analyzed
⚠️
Dropout signal detected — Ikaya Youth
2 min ago
📈
Confidence scores trending up 34%
12 min ago
✅
Funder report auto-generated
1 hr ago
See Sopact in Action
How Sopact works for nonprofit programs
Three phases that compound on each other. Every stage inherits everything from the stage before. No context resets. No starting over.
01
Program Design
Phase 01 — Theory of Change + Data Dictionary
Traditional M&E starts with a consultant building a logframe disconnected from your data collection. Sopact starts with a conversation. Upload an interview transcript, a program description, or existing documents — Sopact generates impact framework (logic model, theory of change, logframe etc), maps indicators, and creates a shared data dictionary. Both your team and your partners align on what gets measured before a single survey goes out.
Interview transcripts
Logic model / Logframe
Data Dictionary
Indicator + mapping
Funder alignment
Input
Conversation, transcripts, existing docs
↓ Sopact synthesizes
Processing
Impact Framework (TOC or equivallent) + indicators + data dictionary generated
↓ Output
Output
Living Theory of Change — agreed before data collection starts
↓ Theory of Change becomes the scoring template for all data
02
Data Collection
Phase 02 — Unified Collection + Unique IDs
Every contact gets a persistent unique ID the moment they enter the system. Pre-assessments, mid-program check-ins, post-program evaluations, interview transcripts, financial reports, and offline field data — all linked to that ID automatically. No VLOOKUP nightmares. No post-hoc matching. Data arrives clean because the architecture prevents fragmentation.
Surveys (online + offline)
Interview transcripts
Document uploads (PDF, XLSX)
Multi-language collection
Unique IDs — automatic
Input
All data sources — surveys, docs, transcripts, offline
↓ Unique ID links everything
Processing
Intelligent Cell scores every response. Qual + quant unified.
↓ Output
Output
Clean, linked data — ready for analysis the moment it arrives
↓ Every data point scored against Theory of Change commitments
03
Continuous Intel
Phase 03 — AI Analysis + Continuous Reporting
As data arrives — from partners, from beneficiaries, from field workers — Sopact’s Intelligent Cell codes qualitative responses, extracts themes, flags anomalies, and cross-references against the Theory of Change. Reports generate in any language. Board decks, funder reports, partner dashboards — all from the same data, all in minutes. Your team focuses on program improvement, not data assembly.
Pre/post matched analysis
AI qualitative coding
Funder reports
Multi-language reports
Dropout + risk alerts
Partner dashboards
Input
Ongoing data + all prior context
↓ Scored against TOC
Processing
Qual coded, themes extracted, metrics compared to commitments
↓ Output
Output
Funder reports + board decks + partner dashboards — continuously
Data Integration Layer · Your Systems Stay Intact
Your program data already lives across Airtable, Salesforce, KoboToolbox, Google Sheets, and HubSpot. Sopact reads data from your existing systems via MCP, API, Zapier, or direct import — so every insight is grounded in data your team already collects. Nothing disrupts your workflow.
Donor management + LP comms
Contact sync via MCP
Pipeline + engagement data
✓ MCP · Live
Survey data + program tracking
MCP server integration
Import existing bases
MCP
Constituent management
Grant tracking + reporting
REST API + Zapier connector
API + Zapier
Offline mobile data collection
Import submissions directly
Unique IDs mapped on import
Import + API
Enterprise survey platforms. Import response data via CSV or API.
BigQuery / Snowflake
For organizations with existing data infrastructure. Sopact connects via API to pull transactional data and layer intelligence.
Gmail / Outlook / Slack
Partner reports arriving via email? Convert email attachments into structured data using Sopact's chatbot and MCP integrations.
Google Drive / SharePoint
Program documents, financial PDFs, narrative reports. Upload directly or connect via API. Sopact reads 100+ page documents.
Custom Platforms
Meal distribution, school attendance, case management systems. Connect via API or webhook to pull operational data.
Power BI / Tableau / Looker
Keep your dashboards. Sopact generates the clean, unified data that feeds them — eliminating the 80% cleanup problem upstream.
What this unlocks
Nonprofits lose months per cycle manually moving data between systems. Sopact eliminates that assembly line. Your existing tools provide raw data. Sopact adds intelligence — unique IDs, AI analysis, theory of change alignment. Reports generate in minutes. No new software for your field teams. No new data entry. No rip and replace.
Automated outputs
Program Impact Report
Full Theory of Change update — what changed, who experienced it, how much, contribution evidence, risks. Quantitative metrics + qualitative themes unified in one narrative, aligned to your logframe.
Funder report — TOC-aligned
Missing Data Alert
Which partners haven’t submitted, which fields are incomplete, which beneficiary cohorts have gaps — flagged the day data is due, not discovered during report assembly.
Day data is due
Outcome Variance Report
Programs tracking below committed outcomes, with root cause extracted from qualitative data. Where dropout is happening, why confidence scores dipped, which cohorts need intervention.
Before board review
Qualitative Themes Report
AI-coded open-ended responses — sentiment analysis, theme extraction, beneficiary voice at scale. What 1,000 people actually said, synthesized in 4 minutes. Cross-tabulated by demographics.
As responses arrive
Early Warning Report
Enrollment dropout signals, participation anomalies, partner performance flags. Surfaced as data arrives — not discovered at end-of-year evaluation when it’s too late to intervene.
Surfaced automatically
Partner + Board Summary
Executive narrative formatted for your board deck, your funder quarterly packet, and individual partner feedback. Evidence-backed, multi-language, generated in minutes — not assembled over three months.
Ready in any language
What makes this different
Every other tool resets at each stage — new context, new documents, new analyst starting from scratch. Sopact carries the full partner and program record forward — from the first intake form through years of continuous learning — across every organization, cohort, or chapter you work with.
Stage 01
Partner Intake
Stage 02
Program Launch
Stage 03
Continuous Cycles
Stage 04
Multi-Year Learning
Document Intelligence
Partner profiles, existing reports, and program docs read and structured
Theory of Change synthesized; indicators mapped to each partner's context
Cycle reports and field data read automatically each period
Full program narrative — every partner, every cohort — available any time
Stakeholder Voice
Not yet captured
Baseline surveys deployed across partners and programs
Lean surveys, AI-coded each cycle; voices tracked by cohort
Longitudinal sentiment and outcome evidence across all partners
Risk Intelligence
Capacity gaps and data readiness flags identified
Commitments tracked; performance baseline established
Signals updated each reporting cycle automatically
Predictive patterns from full partner lifecycle
Context Known
5%
25%
60%
95%
Why Sopact beats the alternatives
01 — Clean at Source
Persistent unique IDs eliminate the 80% data cleanup problem entirely.
Every participant gets one ID at first contact. Every survey, transcript, assessment, and file upload links to that ID automatically. No manual matching. No CSV merging. No “which John Smith is this?” Data arrives clean because the architecture prevents fragmentation.
Without Sopact
Your M&E team spends 80% of their time reconciling data across Airtable, Excel, and KoboToolbox exports. By the time it’s clean, the program has moved on.
02 — Qual + Quant Unified
Qualitative and quantitative analysis in one platform — not two separate workstreams.
Sopact’s Intelligent Cell codes open-ended responses, extracts themes, and cross-tabulates them against quantitative metrics — automatically. 1,000 responses themed in 4 minutes. No separate NVivo or ATLAS.ti workstream. No consultant fee. No 3-month delay.
Without Sopact
Quant team runs numbers. Qual team hires a consultant to code themes in NVivo — 3 months later. The two workstreams never meet. The funder report tells half the story.
03 — Multi-Language Pipeline
Collect in Swahili. Analyze in English. Report in Portuguese. Same data, any language.
Data collection, AI analysis, and report generation all support 40+ languages natively. Field workers collect in local language. Sopact translates, codes, and themes automatically. Reports generate in any language the funder needs. No translation bottleneck.
Without Sopact
Two teams translate the same field data separately. One for quant analysis. One for the narrative report. Neither knows the other is doing it. Three weeks wasted.
04 — DIY, Not Consultant-Dependent
Natural language prompts — no SQL, no Python, no data scientists required.
Your M&E lead writes prompts in plain English to define rubrics, scoring rules, and analysis templates. Start with two questions. Iterate. Build reports without a single line of code. The system empowers your team to learn from data daily — not wait for a consultant’s annual report.
Without Sopact
You hire a consultant for $15,000 to build a Power BI dashboard from a data extract. It arrives 6 months later. Nobody on the team can update it. The cycle repeats.
“
I added two more trial prompts to the Ikaya project, and I am absolutely astonished at what the system can do. And I’ve only just started.
Marco Botha, CEO
Open Play Foundation · Stellenbosch, South Africa
4 min
1,000 qualitative responses coded. Was 3 months of consultant time.
10,000+
Stakeholder voices collected + analyzed. The King Center — Atlanta, GA.
1 session
To get started. After that, teams run it independently.
“Discovering automated insights was a game-changer. Now our team can get instant insight from all the qualitative and quantitative data without technical knowledge or analysis time.”
Impact Measurement Team
Learn More: The King Center · Atlanta, GA — 7 programs, 600,000+ students reached
We had a tiny budget and a major funder to convince. Investing in Sopact was the best case we ever made — for accountability, for impact, and for our community.
Nixon, Impact Measurement Lead
“Our data is scattered across Excel, PDFs, PowerPoints, and kitchen operation records. We need to consolidate into a single system to generate insights and measure impact.”
Nixon, Impact Measurement Lead
Food for Education · Kenya — 10,000+ farmers, school feeding programs
Quantifying impact in STEM education isn’t just a goal, t’s necessary. With the right data, we can shape the future of learning
Nixon, Impact Measurement Lead
Drop us one program’s data — a survey export, a partner report, a beneficiary transcript, whatever you have. Sopact reads it, builds a theory of change, codes the qualitative data, and shows you the intelligence it would generate across your full portfolio. No setup, no implementation, no waiting.
20-minute live session · Your program, your data · Immediate results
