Artificial Intelligence And Machine Learning

Using AI for Survey Design: A Messy Framework for Curious People Who Think Before They Generate

Using AI to write your survey isn’t the problem. Thinking it’ll do the hard part for you is. Most surveys fall apart because no one questioned the thinking behind them. This is a messy seven-step framework for using AI with…

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The Power of Public Data: How Perplexity and ChatGPT Reduce Hallucinations in GTM Research

Launching a new product rarely feels steady. You are juggling half-formed assumptions, investor questions you cannot quite answer, and the pressure to get it right with limited resources. Public data can cut through some of the noise. Perplexity can pull…

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From Quick Fix to Infrastructure: What Agent Mode Could Unlock for Research Teams

Exploring the potential of ChatGPT’s most powerful mode for structured, scalable insight work. ChatGPT has already found a home in research teams. It can clean up open ends, summarise transcripts, and write first drafts of surveys. It remembers tone, spelling…

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Algorithmic Ghosts: Does AI Carry Our Cultural Baggage into the Future?

Step inside the haunted house...👻 You’re told data is neutral. You’re told algorithms are efficient. You’re told progress is inevitable. Yet every dataset you collect already carries the weight of history. Every model you train borrows its language from the…

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AI in Open-Ends: Problem, Solution, or Both?

We have been quick to label AI-generated survey responses as fraud. But is that always fair? Sometimes, a respondent using AI produces a better answer than they could have written alone. It could help them organise thoughts, clarify language, and…

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Advanced Tactics for Detecting AI-Generated Survey Responses

Not all synthetic answers are easy to spot. In a previous post on fraud detection, we covered the basics: speeders, straight-liners, generic phrasing. But as more respondents turn to AI tools to “help” with surveys, our detection strategies must get…

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Simulate the Refusal Part 3: Turn It on Yourself

You’ve run the models. You simulated the edges. Now simulate the machine that made the edges possible. Now simulate the mirror. 1️⃣ Part 1 brought in the voices you filtered out. 2️⃣ Part 2 used AI to stretch what your…

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Simulate the Refusal Part 2: Using AI to Enrich What Your Data Missed

You have already heard the argument: bring the missing voices into the room. Simulate the ones who do not show up in your sample, who reject your category, who roll their eyes at your screener (if you missed part one,…

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Simulate the Refusal Part 1: AI Voices from the Margins of Research

What if your next research project started with the voices no one asks for? AI isn’t just a shortcut. Well, it is. But it can also model, with varying accuracy, the people research was never built to include. The ones…

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Deep Research for Market Researchers: It’s Not a Replacement, It’s an Enhancer

Market researchers have seen their fair share of “AI-powered” tools promising to replace traditional methods. But let’s be honest, no serious researcher is relying on ChatGPT (or any AI) to generate full, client-ready reports from a single prompt (although we…

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