The VibeIQ blog
Evidence, methods and playbooks for synthetic market research: how AI personas work, when they're accurate, and how to run studies that hold up.
The future of market research is hybrid, not synthetic
The loudest voices say synthetic research will either replace human research or fail trying. Both are wrong. The future belongs to teams that run the two together, each doing what it is best at.
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Why insights teams fear synthetic data, and why they shouldn't
The resistance to synthetic research inside insights teams is rational, not irrational. Understanding the three real fears, and answering them honestly, is the only way past the standoff.
From gut to evidence: building a continuous discovery loop with synthetic users
Continuous discovery stalls on one bottleneck, recruiting. Here's how to run a fast synthetic loop alongside a slower human one, so every week produces evidence instead of opinion.
Build your own persona panel: designing an audience that represents your market
A synthetic study is only as good as the audience behind it. Here is how to design a persona panel that reflects your real market, including the people who disagree with you.
How to read a synthetic study: confidence signals, evidence trails and cross-tabs
A synthetic study is only as good as your ability to read it. Three lenses turn a leaderboard of scores into a decision you can defend: confidence signals, the evidence trail, and cross-tabs.
Testing your positioning with AI personas: a PMM's guide
Positioning is one of the highest-stakes calls a PMM makes, and usually the least tested. Here's a five-step method to pressure-test value prop, category and differentiation before you commit.
Pre-flight research: how to screen 20 ideas synthetically before you pay for a panel
Aviation doesn't skip the pre-flight checklist, and neither should product decisions. Here's how to screen many ideas synthetically, then spend real research budget only on the few that survive.
Message and claim testing: finding the wording that lands before launch
The difference between a headline that converts and one that gets ignored is often a few words. Synthetic message testing lets you find them before you spend a cent on the campaign.
Concept testing at 10x speed: ranking ideas before you build
Traditional concept testing is too slow to run on every idea, so most get filtered by opinion. Synthetic concept testing lets you rank many concepts early and cheaply, then build with evidence.
How to calibrate synthetic research against your own real data
Synthetic studies are only trustworthy once you've measured how well they track your reality. Here's a six-step calibration protocol to prove your correlation before you bet a decision on it.
Synthetic vs traditional panels: an honest comparison of cost, speed and accuracy
Synthetic research is not a magic replacement for panels, and panels are not obsolete. Here is a straight comparison on the three axes that decide which to use, and when.
Do AI synthetic respondents actually work? What 4 independent studies reveal
Silicon sampling promises survey insight in hours, not weeks, but is it accurate? Four independent studies from Stanford, Cambridge, Colgate-Palmolive and EY show 80-95% correlation with real human data, plus where the method breaks.