AI+ for Survey Design & Analysis

Better Questions, Better Insights

Better questions. Cleaner data. Findings that act.

You've run surveys before. The data comes back and you're not quite sure what it's telling you — or whether you asked the right questions. This book gives you a structured methodology for the complete survey lifecycle: the 30-prompt Survey Prompt Toolkit, AI-assisted thematic coding for open-ended responses, and the finding → insight → recommendation chain. Built by an AI engineering firm for researchers who know a survey is only as good as the question before the question.

Tier

Tier 3 · Job Skills

Category

Business Operations

Format

Guide

Updated

Q2 2026

Read full bookSee in 2 bundles

Inside

30 ready-made, market-tested prompts: survey design, question construction, sampling plans, data cleaning, quantitative analysis, thematic coding, recommendations
A complete survey lifecycle methodology — from "what do we want to find out?" through to action-ready findings
A thematic coding workflow for open-ended responses that handles 500 comments in an afternoon
The finding → insight → recommendation chain that turns survey data into stakeholder action
A 30-day plan for HR managers, marketers, evaluators, researchers, and policy analysts running surveys

Who this is for

Any professional who needs to design, run, and make sense of surveys but was not formally trained in research methodology. This includes: HR professionals designing employee engagement surveys, marketers running customer satisfaction research, academics conducting mixed-methods projects, programme evaluators assessing impact, public health researchers, policy analysts gathering public views, and project managers tracking stakeholder sentiment. The book is cross-context by design — the survey craft is the same whether the respondents are employees, customers, patients, students, or citizens.

Also for:Graduate students and early-career researchers learning survey methodology for the first time; and market researchers who want to accelerate their existing workflow with AI assistance.

You’ll be able to

Translate a broad research goal into specific, measurable survey constructs
Design a complete survey instrument with appropriate question types and structure using AI assistance
Evaluate survey questions for bias, ambiguity, and validity errors
Plan sampling and fieldwork for representative data collection
Clean survey data and assess response quality
Analyse quantitative survey responses using frequencies, cross-tabulations, and benchmarks
Develop a thematic coding framework for open-ended responses with AI assistance
Present survey findings as a structured set of actionable recommendations

What’s inside

Diagnostic: How AI-ready is your survey work?
Chapter 1: AI in Survey Research Right Now
Chapter 2: Defining What You Need to Know
Chapter 3: Designing the Survey Instrument
Chapter 4: Writing Questions That Work
Chapter 5: Sampling and Reaching Your Respondents
Chapter 6: Collecting Quality Responses
Chapter 7: Analysing Quantitative Responses
Chapter 8: Making Sense of Open-Ended Responses
Chapter 9: From Findings to Recommendations
Chapter 10: Your 30-Day Survey Skills Starter Plan
Back matter: Skill Summary · Recommended Next Reads · Glossary · Tool Reference

Built by an AI engineering firm — for researchers who know a survey is only as good as the question before the question.

Appears in 2 bundles

SKL-02The AI Research Pack SKL-04The AI Data & Reporting Pack

Reads well with

AI+ for Survey Design & Analysis

Often packaged with this title.