Mini-Course: Free with your EvalCommunity Premium Membership — Upgrade now →
~2-3 Weeks
Hands-On
Using Artificial Intelligence to Design Better Surveys
Without Compromising Data Quality
As evaluators, we value efficiency — but credibility still pays the bills.
Capability-First
AI Tools + Frameworks
Self-Paced · 2-3 Weeks
For experienced evaluators – no survey fundamentals, just AI integration with rigor
Keep Human Judgment at the Center · Use AI as Your Support, Not Your Replacement
Learn where AI adds value — and where it must never go
A Different Starting Point
This course assumes you already design surveys as part of your professional practice. The goal here is not to teach survey fundamentals, nor to promote AI as a shortcut. Instead, the focus is on how to integrate AI tools into survey work without weakening validity, ethics, or evaluator accountability.
AI is already present across the survey lifecycle. The question is no longer whether evaluators will use AI — but how deliberately, transparently, and responsibly they do so.
By the End of This Course, You Will Be Able To
Your Learning Roadmap
8 lessons, one capstone, plus a quiz to certify your understanding
Positioning AI in the Survey Lifecycle
JEDAI Framework
Core capability:
Distinguish automation from judgment augmentation. Know what stays human-led.
AI tools: ChatGPT, Claude, Gemini – but here you learn when not to use them.
Key takeaway
Automate execution, never judgment. JEDAI keeps you in control.
Using AI to Scope Surveys Without Delegating Measurement Decisions
SCOPE Framework
Core capability:
Use AI to structure and generate options — but retain authority over measurement decisions.
AI tools: ChatGPT, Claude, Elicit, SurveyMonkey Genius
Key takeaway
AI generates options; you evaluate and decide. The E in SCOPE is non-delegable.
Drafting and Reviewing Survey Questions with AI
SCAI Framework
Core capability:
Draft with AI, then review for bias, clarity, construct validity, and interpretation.
AI tools: ChatGPT, Claude, Hemingway, SurveyCTO AI
Key takeaway
Fluent wording ≠ valid measurement. Apply SCAI before any question enters the field.
Structuring Surveys with AI Support
FLOW + VALUE
Core capability:
Use AI to draft logic, then detect unnecessary complexity that harms response rates.
AI tools: Qualtrics AI, SurveyCTO, ChatGPT for skip logic
Key takeaway
Complexity must be justified by analytical value – not by AI capability.
Piloting Surveys Using AI Diagnostics
DIAGNOSE Framework
Core capability:
Interpret AI flags as signals, not explanations – diagnose causes before redesigning.
AI tools: Qualtrics Stats iQ, SurveyCTO diagnostics, ChatGPT data analysis
Key takeaway
Pattern detection is not causal explanation. DIAGNOSE before you redesign.
Deploying Surveys with AI Responsibly
ETHICS Framework
Core capability:
Optimize reminders and timing without crossing into coercion or unequal burden.
AI tools: Alchemer, Qualtrics, SurveyCTO adaptive triggers
Key takeaway
Higher response rates are not automatically better data. ETHICS first.
Analyzing and Reporting Survey Data with AI
VALIDATE Framework
Core capability:
Use AI for pattern recognition, then validate, interpret, and transparently report findings.
AI tools: NVivo AI, Dedoose, ChatGPT, Claude for qualitative coding
Key takeaway
AI suggests patterns; you validate. Minority voices matter – even if AI misses them.
Managing Bias, Privacy, and Ethical Risks in AI-Assisted Surveys
BIAS Framework
Core capability:
Identify and mitigate algorithmic bias, protect respondent privacy, and maintain ethical oversight throughout AI-assisted survey processes.
AI tools: AI fairness toolkits, differential privacy libraries, audit logs
Key takeaway
Bias is not a bug; it must be actively managed. BIAS framework provides systematic safeguards.
Complete a Full Survey Design Cycle with AI
Portfolio Project
Apply all eight frameworks to design, pilot, and report on a real survey project. Receive structured feedback and a certificate of completion.
Includes: Prompts & Examples
Using AI to Design Better Surveys
Certification Ready
Test your understanding of AI integration, ethical boundaries, and framework application. 70% passing score required for certification.
Course Takeaway
AI can make surveys faster and more scalable. It cannot make them meaningful, ethical, or valid on its own.
That responsibility remains with the evaluator.
Your AI-in-Survey Toolkit – Included
Eight reusable frameworks + hands‑on exercises for every lesson
JEDAI Framework
Decide what to automate vs. keep human-led (Lesson 1)
SCOPE Framework
Structure, Generate, Overlap, Probe, Evaluate (Lesson 2)
SCAI Review Lenses
Social bias, Clarity, Alignment, Interpretation (Lesson 3)
FLOW + VALUE
Fragmentation, Load, Orientation, Worth + VALUE test (Lesson 4)
DIAGNOSE
Detect, Investigate, Ask, Generate, Narrow, Originate, Solve, Evaluate (Lesson 5)
ETHICS Framework
Equity, Transparency, Harms, Informed consent, Coercion, Stewardship (Lesson 6)
VALIDATE
Verify, Amplification, Look for missing, Interpret, Document, Assess bias, Triangulate, Explain (Lesson 7)
BIAS Framework
Bias identification, Impact assessment, Audit systems, Safeguard privacy (Lesson 8)
Failure Examples
Realistic cases of AI misuse in each lesson – learn from others’ mistakes
Prompts & Examples Library
Ready-to-use prompts for every stage of the survey lifecycle
DESIGNED FOR EXPERIENCED EVALUATORS FROM
World Bank
UNDP
Save the Children
CARE
Oxfam
and hundreds of M&E consultants, government agencies, and NGOs
What Senior Evaluators Say
“The JEDAI framework alone changed how I think about AI. I now have a clear line between what I automate and what I keep.”
“Lesson 3’s SCAI review saved me from using AI questions that sounded perfect but measured nothing. That’s validity.”
“The BIAS framework in Lesson 8 is essential. Finally a structured way to audit AI risks in surveys.”
Yeah, but… we’ve heard it before
“I work with sensitive data – is AI safe for surveys?”
Every lesson includes ethical boundaries and red lines. You’ll learn which tasks AI should never touch.
“I’m an evaluator, not a coder. Will I manage?”
Zero coding. All tools work through natural language prompts and point‑and‑click interfaces.
“My surveys run in low‑connectivity areas.”
Offline‑capable tools and strategies for intermittent connectivity are covered in Lesson 6.
“Will this work for my sector (health/education/humanitarian)?”
All examples are drawn from real M&E contexts – no generic business cases.
Invest in Your Judgment – Keep AI in Its Place
Eight lessons, eight frameworks, capstone project, quiz, and lifetime access. No subscriptions.
one-time · lifetime access
Questions? info@evalcommunity.com
© EvalCommunity Academy · All rights reserved
Course Features
- Lectures 10
- Quiz 1
- Duration Lifetime access
- Skill level All levels
- Language English
- Students 500
- Certificate Yes
- Assessments Self
- 1 Section
- 10 Lessons
- Lifetime
- Using Artificial Intelligence to Design Better Surveys11
- 1.1Lesson 1: Positioning AI in the Survey Lifecycle
- 1.2Lesson 2: Using AI to Scope Surveys Without Delegating Measurement Decisions
- 1.3Lesson 3: Drafting and Reviewing Survey Questions with AI
- 1.4Lesson 4: Structuring Surveys with AI Support
- 1.5Lesson 5: Piloting Surveys Using AI Diagnostics
- 1.6Lesson 6: Deploying Surveys with AI Responsibly
- 1.7Lesson 7: Analyzing and Reporting Survey Data with AI
- 1.8Lesson 8: Managing Bias, Privacy, and Ethical Risks in AI-Assisted Surveys
- 1.9Capstone Project · Complete a full survey design cycle with AI
- 1.10Prompts & Examples
- 1.11Quiz: Using AI to Design Better Surveys10 Questions
The courses and articles have been developed by an experienced team of evaluators and software developers under the guidance of Fation Luli. The EvalCommunity Academy combines practical expertise in Monitoring & Evaluation with cutting-edge AI technologies to provide high-quality, accessible learning experiences for professionals around the world.
