Built by a researcher, for researchers

Stop carrying the interpretation alone.

Elliott is a thinking partner for qualitative researchers. It challenges your conclusions, surfaces what contradicts them, and makes your reasoning visible — before your clients find the holes.

Built for

Independent consultants Boutique agencies Senior researchers

Project · Millennial Price Perception · P3 of 18

Moderator

How do you think about price when you're shopping?

Millennial, P3

Well… I mean, it depends. Price ambivalence — contextually rational, not price-sensitive

If it's something I really need,

price matters less.

hesitation price_ambivalence need_driven

Elliott · pattern across 18 interviews

12 of 18 use "it depends" framing. Not price-sensitive — contextually rational. Dominant language: "worth it," "need vs. want."

↗ P2, P7, P14 show hard budget limits — different from contextual rationality. Does this represent a second mindset?

The distinction

Most AI tells you what to think. Elliott shows you how it got there.

Why it matters

Two kinds of AI reasoning. Only one you can trust.

Discriminative AI

e.g., ChatGPT, most research tools

Pattern-matches across training data to produce an output. Fast. Fluent. Plausible-sounding. But it can't tell you why it reached a conclusion, because it didn't reason to one — it predicted one. The theme appeared. Ask where it came from and you get more words, not more evidence.

Produces outputs without traceable logic
Confident about things it cannot verify
No chain from evidence to conclusion
Hallucination is a feature, not a bug

Causal reasoning

Elliott

Builds a chain from specific evidence to a defensible conclusion. Every observation links to a transcript moment. Every pattern links to the observations behind it. Every interpretation links to the patterns — and the counter-evidence that complicates them. You can interrogate any step. So can your client.

Every claim traces to a specific source
Counter-evidence surfaced, not suppressed
Reasoning is visible and interrogable
Trust is earned by showing its work

Who Elliott is for

Three problems every senior qualitative researcher knows.

01

The loneliness of interpretation

Even with a team, the weight of "what does this mean" lands on one person. At the moment it matters most, you're on your own.

"The nakedness of being the only one steering. It's nice to know not everything is down to you."

Independent consultant · 25 years

02

AI that classifies instead of reasons

Current tools summarize. They generalize. They produce themes that sound right but can't be verified. You spend more time correcting them than using them.

"I trust juniors more than I trust AI. I can help juniors analyze it."

Agency research lead

03

Methodology that slips under pressure

Rigorous methodology is the goal on every project. Under deadline pressure, it becomes the aspiration. The infrastructure to do it right shouldn't require heroic effort.

"What I lack in speed and automation, I make up for in taste and judgment."

Senior consultant · former NYT

The old workflow

What qualitative analysis actually looks like — before Elliott.

Without Elliott
Download transcript. Realize it's a VTT file. Spend 20 minutes cleaning it into something readable.
Open a blank document. Stare at it. Worry you're missing something important.
Code 18 interviews manually. Build a spreadsheet. Try to find patterns in a grid of highlighted cells.
Write the report. Realize a client will ask about the three participants who said the opposite. Hope you can find that quote.
Submit. Wonder if you missed something. Wonder if it's good enough.
With Elliott
Upload the VTT. Elliott cleans, consolidates, and applies your redaction pattern automatically.
Set your objectives and cohorts. Elliott knows what to look for.
Code as you read. Elliott tracks patterns across all 18 interviews and flags when something contradicts your emerging conclusions.
Every claim links to the exact transcript moments that support it. Counter-evidence is noted, not buried.
Submit knowing your reasoning is defensible. The chain from observation to conclusion is visible to anyone who asks.
OBS
Raw observation
TAG
Code applied
PAT
Pattern across cohorts
↗ CE
Counter-evidence
MND
Mindset discovered
INT
Interpretation defensible

Every claim traces back. No orphan insights.

How it works

Infrastructure for thinking. Not a shortcut around it.

01

Set up your project

Define your research objectives, your cohorts, and your redaction pattern. Elliott uses this to structure everything that follows. Two days of work doesn't start with a blank page: it starts with a frame.

ObjectivesCohortsRedaction
02

Upload and clean

Drop in your transcripts: VTT, SRT, plain text. Elliott cleans, consolidates fragmented speech, and applies your redaction pattern automatically. Raw transcripts never leave your machine.

Local-firstPrivacy by design
03

Observe and code

Read through your transcripts and mark what you see. Elliott tracks codes across all interviews, suggests consolidation when you use the same concept twice, and keeps observation separate from interpretation.

ObservationField notesCodes
04

Discover patterns — and what breaks them

Elliott surfaces what's consistent across cohorts, what's cohort-specific, and what contradicts your emerging conclusions. It notices when a mindset cuts across demographics. It flags the three participants who said the opposite thing — before a client does.

PatternsCounter-evidenceMindsets
05

Interrogate your own analysis

Ask Elliott to challenge a pattern. Ask why a cohort responded differently. Push back on its observations and it will show you the evidence behind them. Every claim traces back to a specific transcript moment. No orphan insights.

Evidence chainsInterrogation mode

Clarity

Research is an art and a skill. Not a template.

Elliott is not
AI that generates insights for you
A summarization tool that produces generic themes
A tagging system that abdicates reasoning
A productivity hack that trades rigor for speed
A tool built by people who don't understand the craft
Elliott is
Infrastructure that makes your thinking visible
A partner that challenges conclusions from curiosity, not skepticism
Evidence chains from observation to interpretation
Rigorous methodology that's sustainable, not aspirational
Built by a researcher with 30 years doing this work

What researchers say

From the discovery conversations that shaped Elliott.

I feel like the person who built this understands the craft of what we do. There's a practice and a discipline to how we do this, and Elliott is trying to actually codify that.”

Independent consultant · 30+ years

It is profoundly valuable. I think it would give me more confidence — knowing not everything is down to you alone, that something is checking your reasoning.”

Independent consultant

Elliott fills a gap in the market. The tools that exist are souped-up interns. This is something closer to a thinking partner.”

Agency research lead

I need something that shows its work. Not themes that appear from nowhere — evidence, so I can interrogate it and verify the reasoning holds.”

Researcher · AI champion

Beta access

Run it on a project you've already completed.

Elliott is in closed beta with a small group of senior qualitative researchers. Run it on a project you've already completed: see what it surfaces, compare your conclusions. If you're doing 10+ interview projects and want to stop second-guessing your analysis, this is built for you.

macOS only · Local-first · Your data stays on your machine

Stage
Closed beta · Small cohort
Platform
macOS desktop app
Built by
Greg Mitchell · Sharpen Consulting