Long Text or ID Examples
Real examples behind every metric and insight.
Signed up in January, but the onboarding flow lost me at step three. I never finished setup and just stopped logging in.
Support was fine and the pricing was fine. I could not work out how to invite my team during setup, so we went elsewhere.
The setup guide was confusing and I gave up after twenty minutes. Might come back if it gets simpler.
every metric, one click from the records behind it
HOW IT WORKS
Why a Number Should Never Stand Alone
Steeped AI connects every metric in your report back to the real, raw examples behind it, whether that's a unique ID or dense, long-form text, so numbers never have to stand alone.
Pair it with topic mapping to quantify qualitative data like open-ended feedback or interview transcripts, then trace a claim like "18% of cancellations mention onboarding confusion" down to the exact bolded sentences that back it up. You never have to just trust that a form, a machine classification, or an AI-assigned topic was filled out correctly, the proof is one click away, for every metric, every time.
Quantify Any Qualitative Data
Pair this with topic mapping and any long-form text, product feedback, transcripts, open-ended survey responses, becomes fully quantified and connected to the rest of your quant data through relational metrics. Trace a claim like "22% of churn mentions pricing confusion" down to the exact bolded sentences that support it, across every response in your dataset. Messy text stops being a distraction and becomes one of your most powerful data sources.
Real Examples, Every Metric
Any column, a unique ID or a field packed with long-form text, can be included alongside its metrics, so you instantly see the real examples behind every number. Numbers alone can feel abstract; real examples make them come alive for you and for anyone you share a report with. That context is what turns a metric into something people actually believe and act on.
Validate Every Insight Yourself
You don't have to take it on faith that a user's form, a machine learning classification, or an AI-assigned topic was labeled correctly, you can see the raw examples behind every quantified metric with your own eyes. Most examples are a single click away from the thousands of metrics and relational calculations running in any active project. Trust isn't asked for here, it's earned, one example at a time.
USE CASES
How Long Text Examples Solve Problems
A statistic like '22% mentioned pricing confusion' means little without the ability to see which twenty-two percent and read what they actually said. Below are real examples of teams tracing every metric back to the literal quotes, records, or IDs behind it, from contract clauses to 911 dispatch logs.
Historical Document Search
See how Steeped AI turned thousands of image-based PDF scans into a fully searchable database of Austin's civic history, dating back to 1869. Make decades of records instantly searchable, quantifiable, and citable.
Ecomm & Product BI
Turn every product, sales, and customer dataset into a competitive advantage. Surface the hidden metrics and relationships that reveal what really drives revenue across your catalog.
Voice of Customer
Turn feedback scattered across surveys, tickets, reviews, and calls into measurable intelligence. Quantify which topics matter most, which segments hit each issue, and which themes predict retention.
Contract Risk
Upload contracts, NDAs, and case files, scanned or digital, and turn dense legal language into searchable, quantifiable data. Extract non-standard terms, rank risk, and get cited answers in seconds.
Employee Attrition
Upload exit interviews, engagement surveys, and HRIS records to reveal why your best people actually leave. Quantify departure reasons by department and manager, proven with university-grade statistics.
Predictive Maintenance
Turn technician work orders and maintenance logs into structured failure modes. Reveal which early signals actually precede breakdowns, and pinpoint which plants carry elevated risk before machines fail.
SEO & Search Intent
Group thousands of keywords into measurable intent clusters like comparison shopping, troubleshooting, and purchase readiness. Discover the content gaps and long-tail opportunities traditional SEO tools overlook.
Patient Experience
Combine structured healthcare metrics with AI text analysis to uncover operational bottlenecks, patient concerns, and satisfaction predictors. Generate evidence-backed reports without reviewing thousands of records.
Public Safety
Turn case reports, incident narratives, and dispatch logs into a searchable, quantifiable view of crime patterns across time, geography, and offense type. Every insight cited back to the source document.
The insights are already in your data.
Ask your data anything. Get real findings ranked by impact, with AI reports your team can present and share on the spot.