Insight Hub - AI Knowledge Hub for Consumer Research
Turn scattered research into shared insight
- For
- Market researchers and consumer insights analysts at small and mid-sized brands, agencies and in-house insights teams who keep research findings in spreadsheets and disconnected survey tools
- Who are
- Frustrated by paywalled response data ("They will only let me see the first 10"), overwhelming enterprise tools, manual exports to BI tools and findings that never reach stakeholders
- We build
- An AI-powered insights repository that ingests survey exports, spreadsheets and interview notes, auto-tags themes, answers plain-language questions with cited evidence, and publishes shareable insight briefs, with transparent monthly or project-based pricing and no data lock-in
- Unlike
-
Qualtrics, which is bloated, expensive, has a steep learning curve and buries specific audience insight under too much dataSurveyMonkey, which caps visible responses, hides renewal charges and leaves customers with unreachable supportTypeform and Lookback, which collect data but offer little analysis or cross-study knowledge management
- We deliver
-
A single searchable home for all past and present consumer research, with permanent access to everything you uploadPlain-language answers with source citations, so researchers get specific audience insights in minutes rather than hours of spreadsheet workFlexible monthly or per-project pricing with renewal reminders and easy cancellation
- So that
- Researchers can turn scattered consumer data into shared, trusted insights and give stakeholders faster, better-informed decisions without enterprise overhead
Next.js
P
PostgreSQL + pgvector
P
Python (FastAPI)
L
LLM API (RAG)
The Problem
Market researchers either hit paywalls on data they already collected ("They will only let me see the first 10.") or get buried in bloated enterprise tools where "there is so much data visible together that it takes time to focus only on the specific audience insights I actually need." The result is that findings end up in spreadsheets and BI exports instead of being discovered, understood and shared.
“If you want to see more than 10 responses to a survey you need to pay them money.”
Trustpilot Review โ“They only tell you you need to pay after you waste the time on creating the survey.”
Trustpilot Review โ“the price has crept up over the years to the point that it's significantly higher than we were paying 4-5 years ago”
G2 Review โ“sometimes there is so much data visible together that it takes time to focus only on the specific audience insights I actually need”
G2 Review โ“it does have a rather steep learning curve that can be difficult for some people to understand.”
G2 Review โ“I've been trying to set up automatic downloads of *cumulative* survey data for weeks without success.”
Trustpilot Review โ“although highly advanced research teams may still export data into specialist BI or statistical tools for deeper analysis.”
G2 Review โ“Once the contract is signed, the person you engage with disappears”
Trustpilot Review โ“The auto-renewal function does NOT notify the billing owner before the next charge hits.”
Trustpilot Review โ“we have basically coded the entire thing on lovable for a fraction of the cost. It connects way better with our CRM system.”
Trustpilot Review โMarket Signals
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Competitors
Enterprise-grade survey and research platform that combines data collection with advanced analytics. G2 reviewers describe it as a robust, advanced system for detailed, customized surveys and insight generation.
The product has become bloated and overpriced
Widely adopted, easy-to-use survey platform positioned at a premium. It aims to make survey creation and analysis accessible to non-technical teams, with AI-assisted creation and analysis.
If you want to see more than 10 responses to a survey you need to pay them money.
Research analysis tool and repository. No direct reviews were found in the research; one Lookback reviewer cites it as an integration-friendly research repository.
Design-led, engaging form and survey tool valued for clean, customizable, conversational forms. It is used mostly for feedback, lead capture and quizzes rather than deep research analysis.
I set up a quick behavioral survey thinking the free plan would cover a tiny pilot run, but it caps you at literally ten responses.
Remote user-research tool for moderated and unmoderated interviews and usability tests. It sits in the qualitative UX research segment rather than as a full insights management platform.
Calls that fail to start, tech issues at the participant's end, missing recordings...
How the offer ladders up
A free structured template for organizing study findings, plus a one-time AI theme summary of one uploaded spreadsheet.
Single-project workspace with up to 500 responses, AI theme analysis, full exports, and permanent access to uploaded data.
Unlimited projects within fair-use limits, cross-study AI search and Q&A with citations, shareable insight briefs, scheduled imports and exports, and CRM/Slack integrations.
Hands-on import and tagging of historical research, taxonomy setup and a training session for the team.
Value Equation Breakdown
Alex Hormozi's framework for understanding if an idea will be easy to sell. Higher scores = easier sell.
6.0/10
โMaximize these
Every consumer study the company has ever run is searchable in one place, and any stakeholder can get a cited, specific answer about an audience in minutes. The MVP will not collect survey data itself, so it relies on imports from existing tools.
Moderate to high. Research shows strong, repeated complaints about paywalled data, complexity and spreadsheet workarounds (response caps, steep learning curve, exports to BI tools). Evidence is limited to G2 and Trustpilot, and there is no direct evidence of budgets for this specific product. Dovetail is an established repository competitor with no review data to benchmark against.
โMinimize these
First useful answers within a day of uploading existing spreadsheets and reports. Full team adoption and a populated knowledge base take several weeks.
Teams must migrate or upload historical research and change a habit built around spreadsheets. Trust in AI answers has to be earned through visible citations, and some teams will keep their current survey tool alongside.
Alex Hormozi's Value Equation from $100M Offers. The higher your score, the easier your offer is to sell.
Understanding the Value Ladder
The Value Ladder structures your offers in ascending levels of value and price. Start with something irresistible and low-barrier, then build trust and deliver more value at each step up.
Why it works
The stages
Free value that builds trust and captures leads.
Low-ticket product that converts leads into buyers.
Your main product delivering the full solution.
Ongoing value through memberships or add-ons.
Premium, high-ticket solution for your best customers.
Framework: Russell Brunson โ DotCom Secrets