Methodology
The quality of AI-moderated research comes from the system around the model, not model capability alone - set and reviewed by qualitative researchers with 25+ years’ experience.
Interviewing
The interview is the data
In qualitative research the data doesn’t exist before the interview — it is created in it. A survey’s error sits in the instrument and can be audited afterwards; an interview’s error sits in the conduct, and usually can’t be.
Following, not marching
A script returns answers to the questions someone thought of in advance. Judge whether the interviewer will follow a participant somewhere unplanned and still land the study’s coverage.
Pace is a signal
Where an answer gets interesting, the pace should change. An identical rhythm across every interview is the mark of a running order being worked through, not a response to what was said.
Coverage without a checklist
Breadth has to be met without turning into a march. Juno covers the brief breadth-first and paces adaptively rather than working through a fixed list.
Bias
Bias control happens before the question
A leading question doesn’t produce a false answer. It produces a sincere answer to a question that already contained its conclusion — and the transcript reads perfectly well afterwards. Nothing in analysis recovers the exchange that never happened.
Checked before it is asked
Ask whether questions are reviewed before they reach a participant or only after. Juno runs every question through a codified set of qualitative-research checks first.
What the checks catch
Leading phrasing, embedded answers, false binaries, fed examples and presuppositions — the failures that become invisible the moment an answer is given.
One question at a time
Two questions bundled into one return an answer to whichever half the participant preferred. Single-question discipline keeps them apart.
Disconfirmation
A theme that was never challenged isn’t finished
The characteristic failure of synthesis is confirmation: once a theme starts to form, everything after it reads as support. A system that only gathers support will always find it, and will sound confident doing so.
Looking for what breaks it
The useful question is not what the evidence supports, but what would have to be true for this to be wrong. Juno probes boundaries, seeks exceptions and tests what would prove a theme wrong.
One story, or a pattern
A vivid anecdote and a repeatable pattern read identically in a report. Juno separates them by surfacing the conditions underneath — what happened once, and what is likely to happen again.
Confidence is not evidence
Fluency makes a weak finding persuasive. Judge a system on whether it says how sure it is and why, not on how well it writes.
Dissent
Disagreement is the boundary of the finding
Consensus is the most dangerous output of qualitative research, because it is the most persuasive. Real populations disagree, and the people who didn’t agree usually hold the most decision-relevant information in the study.
Dissent is signal
A segment that behaves differently is not an inconvenience to the theme. It marks the point where the theme stops being true — which is what lets you act on it without over-extending it.
It has to change the claim
The test is not whether disagreement is reported, but whether it narrows the conclusion. Juno can narrow or revise a finding when dissent changes how far it can be defended.
How far a finding travels
A finding should state its own range. Juno says how far a conclusion travels and why, and names the unknowns and evidence gaps rather than papering over them.
Care
Participant care is a data-quality control
A participant who feels pressed or exposed doesn’t give slightly worse data. They give performed data — the acceptable answer, the short answer — or they leave. The conditions that make disclosure safe are the conditions that make it honest.
Graded, not blunt
Distress needs a proportionate response, not a single rule. Juno classifies wellbeing signals into four graded tiers with a defined action at each level.
Limits that hold under a brief
Ask what a system will not do regardless of what a brief asks for. Juno rules out deception and coercion, and won’t coax disclosures a study has no business collecting.
Declining is allowed
When a participant cannot or will not answer, the interviewer should find another route or move on rather than press.
Evidence
Traceability is what makes the rest checkable
Every standard above is a claim about process that you cannot verify from outside. Traceability is the one that changes that: if a conclusion reaches back to the participant, the quote and the moment, you can inspect the process instead of trusting it.
From claim to moment
Trace a conclusion back to the participant, the quote and the transcript moment behind it — with the source audio where an aligned span is available.
Every included interview counts
A vivid quote should not stand in for a pattern that isn’t there. Juno builds the reading from every interview included in the analysis, and shows which sit behind each theme.
Weak interviews stay visible
Interviews go wrong. What matters is whether they are flagged for review or quietly absorbed into the dataset, where they look exactly like the good ones.
Evaluation
Six questions to ask any vendor
None of these are about the model. All of them can be answered by someone who has built a research system, and none can be answered convincingly by someone who has wrapped a chat interface around an interview guide. Ask them of us too.
Show me a transcript where the participant disagreed.
A good answer shows what happened next — and whether the finding changed as a result.
What runs on a question before it is asked?
Listen for named, specific checks rather than a general assurance about care.
How do I get from a conclusion to the interview moment?
You should be able to do it yourself, in the product, without asking anyone.
What happens to an interview that went badly?
The answer should describe a flag you can see, not a quality process you have to take on trust.
When a participant shows distress, who decides what happens?
Look for a graded response and a human who can intervene while the interview is still running.
What would change your mind about a finding?
A system that cannot answer this has not tested its own conclusions.
See the standards at work.
Watch Juno run a real interview, read the exchange, and judge the craft for yourself.