What if we don't have a formal Theory of Change or logic model?

We'll help you develop one as part of training. AI measurement works best with clear frameworks, so we'll guide you through creating simple Theory of Change and logic models appropriate to your programs. This foundational work benefits measurement and program design.

Can AI really analyze qualitative data like beneficiary stories?

Yes—AI text analytics has advanced significantly. While it won't replace human judgment for nuanced interpretation, AI can identify themes, sentiment, and patterns across hundreds of responses much faster than manual coding. We'll show you how to combine AI efficiency with human oversight.

How do we collect beneficiary data if they're not digitally connected?

Common challenge in Southeast Asia. We'll cover offline data collection methods (paper surveys photographed and processed by AI, SMS-based data collection, offline mobile apps that sync later). AI can work with data regardless of collection method—digitization is the bridge.

What about beneficiary privacy and sensitive data?

Critical concern. Training includes data ethics, PDPA compliance, and privacy-preserving AI techniques. We'll configure tools to anonymize beneficiary data, establish access controls, and ensure impact measurement respects dignity and confidentiality of vulnerable populations.

Will funders trust AI-generated impact reports?

When done transparently, yes. We'll teach you to clearly document AI-assisted methodologies, validate findings, and maintain data audit trails. Many sophisticated funders expect modern measurement approaches. The key is transparency about how AI is used and human oversight of conclusions.

Training Solutions

PROVE

Cohort-basedSubsidy eligible

AI Program Impact Measurement & Reporting

Program teams can implement AI tools to systematically measure outcomes, analyze qualitative impact data, automate stakeholder reporting, and demonstrate credible social impact aligned to Theory of Change and SDG frameworks.

Focused training on using AI to measure, analyze, and report program outcomes and social impact. Learn to track Theory of Change indicators, analyze qualitative data, demonstrate SDG alignment, and produce compelling impact reports that satisfy diverse stakeholder requirements.

Duration2 days

InvestmentUSD $7,000 - $16,000

Best forProgram-focused non-profits delivering direct services to beneficiaries, with need to demonstrate measurable outcomes to funders, boards, and the communities they serve.

Start a Conversation Request Solution Brief

THE CHALLENGE

Sound familiar?

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"We collect tons of beneficiary feedback but can't analyze it systematically—it's all anecdotal."

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"Different donors want impact measured differently—we're drowning in custom reporting requests."

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"Our programs create real change but we can't prove it with data—just stories and testimonials."

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"Theory of Change and logic models sound great but tracking indicators manually is impossible."

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"Staff spend more time documenting program activities than actually delivering programs."

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"We know our work aligns with SDGs but can't demonstrate it credibly to international funders."

Trusted by enterprises across Southeast Asia

Financial Services

Healthcare

Education

Manufacturing

Professional Services

Government

OUTCOMES

What you'll achieve

Problems you'll solve

Implement AI-powered systems to track Theory of Change and logic model indicators automatically
Use AI text analytics to extract insights from qualitative beneficiary feedback and case studies
Automate impact report generation for multiple stakeholders with different requirements
Demonstrate SDG alignment and contribution using AI mapping and measurement tools
Reduce program documentation burden while improving data quality and accessibility
Create compelling visualizations and dashboards that communicate impact to diverse audiences

Value you'll gain

Impact Evidence: Increase rigor of outcome measurement by 60-80% through systematic AI tracking
Reporting Efficiency: Reduce impact reporting time by 50-70% through AI automation
Funding Success: Improve grant approval rates by 25-35% with stronger impact evidence
Program Improvement: Identify what works using AI analysis of program data and feedback
Stakeholder Confidence: Build trust with donors, boards, and beneficiaries through transparent impact data
SDG Alignment: Credibly demonstrate contribution to UN Sustainable Development Goals

OUR PROCESS

How we deliver results

Step 1

Impact Framework Assessment

Review programs, Theory of Change, and current measurement practices. Map stakeholder reporting requirements and identify data gaps.

Step 2

Measurement System Design

Configure AI tools for automated indicator tracking, qualitative data analysis, and multi-stakeholder reporting. Align to Theory of Change and SDG frameworks.

Step 3

Hands-On Training

2-day programme for program staff covering impact measurement methodologies, AI analytics tools, and automated reporting systems.

Step 4

Report Development

Apply AI tools to generate impact reports using real program data. Create templates for ongoing reporting to diverse stakeholders.

Step 5

Continuous Improvement

30-60 day support to refine measurement systems, expand data collection, and optimize reporting based on stakeholder feedback.

What you'll receive

Impact measurement framework aligned to Theory of Change and SDG goals
Configured AI tools for automated indicator tracking and qualitative analysis
2-day training programme for program and M&E teams
AI-generated impact reports and stakeholder-specific templates
Impact dashboards and data visualization systems
30-60 days of refinement support and continuous improvement guidance
Data governance framework protecting beneficiary privacy

Best for

Program-focused non-profits delivering direct services to beneficiaries, with need to demonstrate measurable outcomes to funders, boards, and the communities they serve.

IS THIS RIGHT FOR YOU?

Finding the right fit

This is ideal for you if...

Program-focused non-profits with direct beneficiary services and outcomes to measure
Organizations with complex multi-stakeholder reporting requirements
Non-profits seeking to strengthen grant proposals with rigorous impact evidence
Social enterprises and impact investors needing credible SDG alignment
Programs collecting qualitative data they can't systematically analyze

Consider another option if...

Advocacy-only organizations without direct program delivery
Non-profits with very small programs (<50 beneficiaries annually)
Organizations not yet collecting any program data or beneficiary feedback

See yourself in the list above?

Let's Talk

CURRICULUM

What you'll learn

2 days total

Build AI-powered systems to track inputs, activities, outputs, outcomes, and impact aligned to your Theory of Change. Automate indicator measurement and progress reporting.

What you'll be able to do

Map your Theory of Change and identify trackable indicators at each level
Build automated data collection systems for program activities and outputs
Use AI to track outcome indicators from diverse data sources
Create logic model dashboards that update in real-time
Link activities to outcomes using AI correlation and attribution analysis