You ask a question in plain English—like “What transactions happened this week?” or “What’s driving conversion?”
Scoop uses AI agents to either run business intelligence queries and answer questions from your data, or run advanced data science machine learning algorithms to find patterns in your data. Scoop then gives you either an interactive visualization that you can explore, save or use in a report or a written explanation.
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Why This Matters
Most tools surface numbers. Few tell you anything new. And when something changes in your business, you shouldn’t need SQL, filters, or a data team just to figure out why.
With Scoop Chat, you:
With Scoop Chat, you:
Explore your data by asking real questions
Don’t dig through filters—just ask what you want to know.
Follow up, dig deeper, test ideas
Keep the thread going. Ask why, compare groups, or break it down.
Find something useful—then save it, share it, or act on it
Every output can be saved or dropped into a live report.
What You Get
Every time you ask a question, Scoop runs the analysis for you—returning a full package of results you can actually use. Not fluff, not approximations. Real answers, real logic, built on your live data. Here’s what that includes:
Let Scoop Tell Your Data's Full Story
A written summary of what Scoop found in your data
Plain-language insights into what the data is saying and why it matters.
An interactive visualization built from real analysis
Built from real analysis, not templates or prebuilt dashboards.
A way to open that chart in Scoop’s Explorer—to refine, save, or reuse
Refine it, tweak the chart, explore the logic—and reuse it anywhere.
The ability to ask follow-up questions and uncover more
Keep asking. Drill down, compare, or pivot until you get what you need.
How It Works
Whether you’re prepping for a campaign review or diagnosing a drop in signups, Scoop helps you figure it out—without a data team.
Ask a question
Like, "Where are new signups coming from this week?"
Scoop figures out what analysis to run
BI query? Clustering? Time trends? It picks the best path.
You get a summary + chart
All built on real logic, not vague guesses. Then you can go deeper or drop it into a presentation.
Powered by Agentic Analytics
Most chat tools surface a stat. Scoop does the work.
You ask a question, and the system runs the entire analytic workflow on your behalf.
Behind the scenes, Scoop:
- Picks the appropriate visualization or modeling approach
- Runs the actual analysis (aggregation/visualization, segmentation, time comparison, predictors, etc.)
- Uses AI to explain, not invent, the results
- Gives you a result that’s transparent, reliable, and reusable
That’s Agentic Analytics: AI that doesn’t just respond—it investigates.
Why Scoop is Different
Scoop isn’t trying to be your dashboard—or another AI that spits out summaries. It’s an actual analysis engine built for people who need substance, not guesswork.
Real analysis, not summaries
Outputs are built from BI queries or ML models that follow real data science logic.
AI explains, doesn’t shortcut
Every answer comes with logic and clarity—not mystery.
Live data, always
Scoop connects directly to your systems, so results reflect what’s happening now.
Interactive, reusable results
No screenshots. Just live outputs you can click, tweak, and drop into slides
Use Cases That Actually Matter
These are real business questions Scoop helps you answer—questions you’d normally hand off to an analyst, but now you can just ask directly.
Marketing
“What changed after our campaign?”
“What separates the leads who converted this week?”
Customer Success
“Are new signups behaving differently?”
“What’s common among accounts that re-engaged?”
Sales & RevOps
“Why are deals slowing down?”
“Which traits show up in deals that closed fastest?”
Frequently Asked Questions About Scoop's AI Data Analyst
What kind of analysis does Scoop AI actually run?
Scoop uses clustering, classification, and predictive models to identify patterns, segments, and relationships in your data. Then it uses LLMs to explain those findings clearly.
How is this different from a dashboard tool?
Dashboard tools show you what you already know to look for. Scoop AI runs analysis to uncover what you didn’t know to ask—then helps you drill deeper.
Can I use this without connecting live data?
Yes. You can upload a spreadsheet or use a static export from any tool. Scoop AI works with one-off data just as well as connected sources.
Do I need technical experience to use this?
No. Scoop was built so that operators, marketers, and CS teams can use it without knowing SQL or machine learning.
What kind of data works best in Scoop?
Tabular business data—things like CRM exports, campaign data, product usage logs, revenue metrics, etc. Anything that tracks actions, results, or user traits.
How fast does it work?
Most analyses run in under a minute. Larger datasets may take slightly longer, but Scoop automatically samples when needed.
Can I save or reuse the results?
Yes. You can persist segments, create filters, and use results in presentations or reports later.
What’s the difference between AI Chat and the other tools?
AI Chat is great when you have a specific question. The other tools—like predictors and clustering—are for when you don’t know where to start and need help finding the story.
Is this secure?
Yes. Your data is never shared or used to train external models. Everything runs securely within your session.