Larkspring makes insulated steel water bottles. Its own tracking shows that many owners stop carrying their bottle within a year. The team wants to know why bottles end up in the cupboard, and whether a new lid that comes apart for cleaning addresses the problem. We ran 180 one-on-one interviews, moderated by AI from a guide our senior researcher wrote, in five days of fieldwork.
Senior researcher
AI moderator
Participant
Who took part Measured
Six completed interviews were removed in review: two gave one-word answers throughout, three contradicted their screener, one was a duplicate.
Sample, after review Measured
| Daily carriers | Lapsed | Total | |
|---|---|---|---|
| Larkspring owners | 50 | 40 | 90 |
| Other brand owners | 46 | 44 | 90 |
| Total | 96 | 84 | 180 |
Lapsed: owns a bottle but carries it less than once a week. Ages 18 to 65, all regions.
Mode chosen
Median length: text 24 minutes, voice 17 minutes.
Timeline, working days
What the pilot changed
The guide is the researcher's main tool. It sets the questions and, just as important, the rules the AI moderator follows when it decides whether to probe. Click a section to open it. Target length: 19 minutes.
Questions
Rules for the moderator
Questions
Rules for the moderator
Questions
Rules for the moderator
Questions
Rules for the moderator
Questions
Rules for the moderator
Rules for every question
Follow-up probes used Measured
2,900 probes across 180 interviews, about 16 each.
Probe audit by the researcher Measured
Answers that followed the six leading probes were left out of the theme counts.
An excerpt from one voice interview, transcribed. Purple tags show why the moderator probed. Blue notes are the researcher's review. Participant 0147: lapsed, owns another brand, chose voice, 21 minutes.
Interview 0147 · excerpt Illustrative
This interview
14 probes
21 minutes, voice. No probes flagged in audit.
How it was coded
Every transcript gets the same code list. A second researcher re-coded 40 transcripts and agreed on 92% of codes.
What the probes added
Every transcript was coded into themes by a researcher. Counts show how many people raised each theme on their own, before the moderator mentioned cleaning or leaks. With 180 interviews, the counts can be compared across groups.
Recommendation
Launch the Clean Lid,
and lead with the seal
Cleaning the lid is the most common reason lapsed owners stop carrying a bottle: it is the main reason for 36% of them, ahead of any other. 62% of lapsed owners reacted well to the Clean Lid. Their first doubt is whether a lid that comes apart still seals, because one leak is enough to retire a bottle. Show the seal before claiming easy cleaning, then size the opportunity with a survey.
Why bottles get left behind, unprompted Measured
Share of each group who raised it at any point. People could raise more than one.
Main reason, lapsed owners Measured
One main reason coded per person, n=84. Adds to 100%.
Themes and quotes Illustrative quotes
Cleaning complaints were almost always about the lid and its seal, rarely the bottle. People described tools: butter knives, toothpicks, brushes bought just for the lid.
I bought a special little brush just for the lid. That's when I knew it was a problem.0062 · lapsed · text
It smells like a damp towel. You notice it when you take a sip.0147 · lapsed · voice
A single leak in a bag was enough to retire a bottle for good. People rarely blamed themselves, even when the lid had been on crooked.
It leaked once on my laptop. Once. That bottle is a pencil cup now.0031 · lapsed · voice
I carry it upright in the side pocket now, like it's a baby.0118 · daily · text
The large size is what people buy and what they leave at home. Several now fill a smaller bottle twice.
32 ounces is great at my desk and awful on a walk.0089 · daily · text
A change in routine, such as a new job or working from home, quietly ended the habit.
I carried it every day to the office. Once I started working from home, it just stayed on the counter.0173 · lapsed · voice
Reaction to the Clean Lid Measured
Coded from the first-reaction answer and its probes. 98 positive, 52 mixed, 30 negative.
Doubts raised about the Clean Lid Measured
All 180, asked of everyone including positive reactions. People could raise more than one.
Next steps
AI moderation and human moderation are good at different jobs. Many projects use both: AI-moderated interviews to map themes across many people, then a few human-moderated sessions to go deeper with the most interesting ones. Every participant in either method is a real, screened person.
Side by side
| AI-moderated | Human-moderated | |
|---|---|---|
| Number of interviews | Dozens to hundreds | Usually 8 to 30 |
| Time in field | A few days | One to three weeks |
| Scheduling | Any hour, the participant's choice | Set appointments |
| Consistency | Same guide and probe rules every time | Varies with the moderator and the day |
| Follow-up | Rule-based probes, up to a set limit | Free to chase anything that matters |
| Reading the person | Words only, typed or spoken | Tone, face, hesitation, body language |
| Physical products | Images, video, or a product mailed ahead | Hands-on, in a facility or at home |
| Sensitive topics | Some people say more to a screen | Better when care and judgment are needed |
| Counting themes | Enough people to count and compare groups | Too few to count |
| Client watching live | Reads transcripts as they arrive | Watches and steers from the back room |
Which fits your project?
Examples
What stays human in every AI-moderated study