Which pack feels better value?
Understand the pattern.
Build and launch surveys, compare groups, find what is worth exploring.
Watch how it worksAI-native ops tool for insight agencies
Every source.
One answer.
Surveys, interviews, focus groups, past studies, social, desk research and AI perception, analyzed together in one project. Every claim traced back to where it came from.
5.0 on G2Used by Provokers, The Harris Poll UK, Intuit Research, and many more.
Click a source to see what it contributed
Brightwater Drinks / Value perception study7 sources · all read · live
Why do shoppers see the 1L bottle as poor value?
Shoppers aren't rejecting the price. They're misreading the size.
SurveysPrice is a top-2 barrier for 41% of first-time buyers
AI interviews9 of 24 read the bottle as a single serving
Focus groups“Value” means “how many I get out of it” for most
UploadsLast year’s U&A already flagged pack-size confusion
Social“How many servings?” is a rising question
Desk researchCompetitors print serving counts on the front
AI perceptionAI assistants name competitors as “better value”
A hypothesis to test, not proof of cause.
Client readout● Draft
↧ Export deck↗ Share live
✦ What about first-time buyers?
Seven sources. One project.
Run new research, bring what you already have, add the wider context. Use what the question calls for.
Why did it feel pricey?I thought it was one drink.
Follow the answer further.
AI-led conversations that ask the follow-up and get to the reason.
Watch how it worksModeratorSpeaker 1Speaker 3
Keep the depth.
Your own interviews and groups, as speaker-labeled transcripts.
Watch how it works.PDF.XLSX.DOCX
Put past work to use.
Spreadsheets, PDFs, documents and transcripts, next to new data.
Watch how it worksHear what people already say.
Themes, concerns and the language people use unprompted.
Watch how it works1Category sizing 20262Competitor pack formats3Labeling rules
Put findings in context.
Structured research on markets and competitors, with sources you can open.
Watch how it works“Best value sports drink?”
Ayou
Brival
C—
See your brand in AI answers.
Compare how AI assistants describe a brand, its competitors and citations.
Watch how it worksFrom evidence to insight.
See how the evidence and caveats become a client-ready insight page.
Watch how it worksWhy not just use ChatGPT, Claude, Perplexity or Gemini?
They're brilliant for a quick question. A study is a different job: many sources, every response, a client at the end.
A general AI assistantONE CHAT · FILES ATTACHED
Why do shoppers see the 1L bottle as poor value?
Based on the excerpts I found, price seems to be a key concern for some shoppers. You may want to consider pricing or promotions.
2 files attacheda few excerpts quotedno survey cut
ONE PROJECT · 7 SOURCESWhy do shoppers see the 1L bottle as poor value?
They aren't rejecting the price, they're misreading the size. Strongest among first-time buyers. A hypothesis to test.
400 of 400 responses24 of 24 transcripts4,812 posts+4 more sources
What happens as the study grows
Bigger context windows don't fix it. They just move the problem.
As a study grows, general assistants hit one of two walls. Pour everything into one long context and it reads less carefully as it fills: details in the middle get missed. Researchers call it context rot1,2Sources1. Hong, Troynikov & Huber. Context Rot: How Increasing Input Tokens Impacts LLM Performance. Chroma Research, 2025. research.trychroma.com/context-rot2. Liu et al. Lost in the Middle: How Language Models Use Long Contexts. TACL, 2024. arxiv.org/abs/2307.03172. Go bigger still and they switch to retrieval (RAG), answering from the passages that looked most relevant. Meaningful runs agentic exhaustive analysis: agents read every response and transcript in small, focused batches, so each gets full attention, then reconcile what they found.
General AI assistantretrieval (RAG)
Answers from the passages that looked most relevant to the question.~12%
4 agents · focused batches · reconciledAll 424 responses & transcripts read with full attention, then cross-checked.100%
Illustrative · each square is a slice of the study · exact limits vary by tool and plan
1. Hong, Troynikov & Huber, Context Rot, Chroma Research, 2025. 2. Liu et al., Lost in the Middle, TACL, 2024.
| Aspect | General AI assistant | Meaningful |
|---|---|---|
| Reads every response and transcript | Context rot in long chats, retrieval (RAG) beyond | Agentic exhaustive analysis, every one |
| Runs new research | No fieldwork | Surveys and AI interviews built in |
| Social, desk research, AI perception | Separate tools and tabs | In the same project |
| Traces claims back to the evidence | Sometimes | Every finding, with caveats |
| Remembers the study | Per chat | Per project, for team and client |
| Client deliverables | Copy, paste, format | Readouts, decks, dashboards |
| Pricing | Per seat, with usage limits | One price, €500 / month |
Keep using the assistants you like. Export your data, transcripts and reports from Meaningful and take them anywhere.
Pick a study you run. Watch it go from brief to readout.
Three steps, the same every time: collect, analyze together, deliver. Only the sources change.
L
Lena · Brand manager, snack brand · MON 09:12
Our two campaign routes tested neck and neck. Which one do we take to production, and why?
The usual way5 TOOLS · ~15 DAYS
Field the concept surveySurvey platform4 days
Recruit, run and record interviewsRecruiter, video calls4 days
Transcribe and codeTranscription service, spreadsheets3 days
Merge survey, interviews and socialSpreadsheets, listening tool2 days
Build the deckSlides2 days
5 toolscopy-paste between themdeck from scratch
ONE PROJECT · ~3 DAYS01CollectSurvey, 24 AI interviews and social, in parallel2 days
02Analyze togetherEvery response and transcript read½ day
03Deliver & follow upReadout drafted, follow-ups answered½ day
B wins on warmth, but its speed claim costs it trust. Close call in the survey; interviews explain the gap.
That’s exactly what the board needed. Going with B, and fixing the claim. · THU 16:40L
| Aspect | The usual way | Meaningful |
|---|---|---|
| Fieldwork | One tool per method | Surveys and AI interviews built in |
| Transcripts and open-ends | Transcribe, then code by hand | Read in full, themed, quotes attached |
| Bringing sources together | Copy into spreadsheets | Analyzed together, in one project |
| Showing the evidence | Footnotes, if there’s time | Every finding traced, with caveats |
| The client deck | Built from scratch | Drafted, ready for your team to shape |
| “One more cut” | Start the analysis over | Ask the follow-up in the same project |
Your team still makes the calls. It just gets to them sooner.
Examples · illustrative
“While analyzing this information typically takes us 15 days, with Meaningful we obtained a complete report in just 1.5 days.”
Rafael Cespedes
CEO, Provokers Chile · 150 people, 8 countries
Read the story →One plan. One price.
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