What every study delivers

Not one report.
Two.

Every Ethnobot org study produces two distinct reports from the same research — one for leadership, one for the people who were interviewed. Same data. Different truth.

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For the team · Confidential
AI Adoption Study · Baseline Wave
Your practices are
already sophisticated.
Here's what we found.
This is your research, back to you. What we heard when you talked about how you actually work — anonymised, named, returned.
Interviews
8 participants
Skill atrophy
6/8 feel it
Segment
Thinker ×5
Quotes
74 captured
Team Debrief
Researcher-facing · Validates practice
Two audiences, two reports

The same research. A different truth for each reader.

Leadership needs to know what to change. The team needs to feel seen. One report can't do both jobs well.

Leadership Brief

For the people who commissioned the study

A strategic brief on where the organisation sits, what's working, what's blocking, and what to do next. Evidence-based, direct, framed for decision-making.

  • Where the team sits on the AAA maturity scale
  • Hypothesis gaps — what you expected vs what the research found
  • The infrastructure and enablement blockers
  • Segment breakdown of the workforce
  • Recommended actions — immediate, near-term, strategic
  • Longitudinal tracking questions for the next wave
Team Debrief

For the people who were interviewed

Research returned to its source. Your team's own words, patterns, and practices — named, validated, and given back to the people who lived them.

  • Opens with: "This is your research, back to you"
  • Names things most people feel but don't say — skill atrophy, tension, preferences
  • Documents verification practices your team built organically
  • Profiles: "which type are you?" — personal, not evaluative
  • Practice guidance for individuals, not org interventions
  • Framed in second person — speaks directly to the researcher
Inside the reports

Every section, designed to do a job.

Reports are built from modular components — each one structured around a specific research task.

1
Key Findings
5–6 numbered findings per report, each anchored to verbatim quotes. Every claim cites specific evidence from the interviews.
Pull Quotes
Verbatim quotes preserved exactly as spoken — informal language intact. The participant's voice, not our interpretation.
9/9
7/9
8/9
5/9
Stat Strip
Quantified patterns across the cohort — how many participants showed each behaviour or expressed each concern.
5
2
1
Segment Profiles
Six AI archetypes: Thinker, Pragmatist, Orchestrator, Explorer, Sceptic, Minimalist — each with what they need next.
Tensions
The productive contradictions your people are carrying — named with evidence on both sides, not resolved away.
Live Dashboard
Every study ships with a live client dashboard. All findings, quotes, and analyses accessible in real time as interviews complete.
How it works

Four steps from question to insight

1

Design the study

We work with you to define the research question, participant criteria, and themes to probe. Typically 8–12 interviews.

2

AI-led interviews

Participants complete a 20–35 minute conversational interview at their own pace. No scheduling. No researcher bias.

3

Structured analysis

Every transcript is analysed against a fixed schema — quotes, themes, tensions, segments, trust calibration. Evidence-first.

4

Two reports + dashboard

A leadership brief, a team debrief, and a live dashboard. One wave of research, three ways to access it.

8–12
Interviews per study wave.
Enough for saturation, not so many the signal blurs.
~25
Minutes average interview length.
Short enough to complete. Long enough to go deep.
2
Reports per wave.
Leadership brief and team debrief — always both.
3mo
Recommended wave cadence.
Track change over time, not just a snapshot.
Ready to start?

See where your organisation sits today.

A baseline wave takes 3–4 weeks from kickoff to reports. The second wave is where it gets interesting.

Start a studyTalk to The Helix Lab