◈ ThinkRoot Demo Intelligence / TDCI Example Library
The gap is not talent.
It is structure.
Four formats. Eight examples. The left column is where most demo scripts start. The right column is what the Demo Coherence Score surfaces and fixes. Same product. Same SE. Different preparation. The score tells you exactly which dimensions are pulling you down -- and by how much.
Live SE Demo
6 dimensions · 100pt rubricInput Snippet
"I'd like to walk you through how [Enterprise ITSM Platform] handles your incident management process. We have a dashboard here that shows all active incidents. You can see here we have a few open P1s. The system automatically routes based on your existing assignment groups. Let me click into this one to show you the workflow..."
◆ What the Score Is Seeing
The demo exists. The product is real. But it opens on the tool, not the problem. There is no discovery anchor, no customer metric tied to the workflow, and no check-in before or after the click. Feature Discipline is mid-range. Narrative Structure and Dialogue Ratio are both pulling the score below 70.
Improved Input Snippet
"Before I click anything — you mentioned last quarter your L2 team averaged 47 minutes from incident open to first touch. Is that still the number? [Confirms.] That gap is what I want to show you first. I'm going to create a real P1 right now, in a live environment that matches your assignment group structure, and I want you to tell me if what you see would have closed that 47 minutes."
● What Changed
- Opened with the customer's own metric from prior research, not a product overview.
- Asked one confirming question before demonstrating anything.
- Framed the demo as a test of their specific problem, not a product tour.
- Live environment stated explicitly — every claim is now verifiable in the room.
● Why the Score Moved
Discovery Alignment went from mid-range to 24/25. Dialogue Ratio jumped because a check-in precedes the demo. Narrative Structure now has a named problem tied to a number. The product has not changed. The conversation structure did.
Video Teaser / Sizzle Reel
4 dimensions · 100pt rubricInput Snippet
"Let me show you what AI automation looks like when it's not just reactive but truly autonomous. This is [Global Energy Co.], operating across thousands of assets and millions of customers. Before AI automation, teams were stuck in a familiar cycle. Incidents coming in faster than they could respond, manual triage across disconnected systems..."
▲ What the Score Is Seeing
AI-generated scripts have a structural fingerprint: presenter-led opens, category language before proof, fictional customers presented as real. Hook Speed scores 5/30. Viewers decide in 8 seconds. No real metric. CTA is a vision statement.
Improved Input Snippet
"47 minutes. That is how long an untagged incident sits in [State Transit Authority]'s queue before a human touches it. [Cut to live environment.] 23 seconds. [Real incident auto-routed on screen.] They reduced MTTR from 6.2 hours to 41 minutes in 90 days. Your operations team deserves a number. [CTA card with specific action.]"
● What Changed
- Replaced fictional company with a named, real-category reference (redacted here).
- Opened on a number, not a narrator. First word is the metric, not "Let me show you."
- Script cues matched to visual cuts — Script-Visual Sync scored 21/25.
- CTA is a specific action card, not a vision close. CTA sharpness scored 17/20.
● Why the Score Moved
Hook Speed went from 5/30 to 27/30 by opening on a metric instead of a presenter. Proof Fit improved because the customer reference is a real category with a verifiable outcome. The entire script is 60 seconds shorter because every word now earns its place.
Now run it on your script.
Keynote / Main Stage
5 dimensions · 100pt rubricInput Snippet
"Three years ago, [Global Bank] came to us with a problem. Their operations center was resolving fewer than 3% of the 12 million alerts they received annually. Their team was burned out. Their SLAs were broken. We worked with them over 18 months to change that. Today they resolve 94% of alerts autonomously. I want to show you how we got there."
◆ What the Score Is Seeing
This is genuinely strong. Real customer, real numbers, emotional setup, clear before/after. Emotional Impact and Visual Production are both in B territory. The gap keeping this from A is Memorability and Tech Credibility. The "how we got there" promise is made but the technical proof is deferred too long in the full script.
Improved Input Snippet
"Three years ago, [Global Bank] resolved fewer than 3% of 12 million annual alerts. Today: 94% autonomously. I am going to show you the exact architecture that made that possible — live, in the environment their operations team uses today. And at minute 8, I want to show you the one workflow that took them from 3% to 94%. If you remember one thing from this session, it will be that workflow."
● What Changed
- Planted the hallway-test moment at the top: "if you remember one thing..." — Memorability went from 72% to 88%.
- Technical proof is promised at a specific timestamp (minute 8), not deferred to "later."
- Live environment stated explicitly, raising Tech Credibility from 78% to 90%.
- The narrative arc is now complete in the opening — problem, outcome, and proof path all stated before the first slide.
● Why the Score Moved
Ten points came from two changes: planting the memorable moment early (Memorability 72 to 88) and making the technical proof specific and timestamped (Tech Credibility 78 to 90). The customer story was already strong. The structure needed one more architectural move.
Executive Briefing / EBC
6 dimensions · 100pt rubricInput Snippet
"Thank you for the opportunity to present today. I have prepared a comprehensive overview of [Platform Name] and how our solution can help [Fortune 500 Manufacturer] achieve its digital transformation objectives. We will cover our core platform capabilities, the innovation roadmap, customer success stories, and partnership investment options."
▲ What the Score Is Seeing
The AI-generated EBC script has a classic tell: it is organized around the vendor's agenda, not the executive's question. Personalization scores 9/25 because nothing in the opener references anything specific to this company, this leader, or this moment. "Digital transformation objectives" is not a business problem. It is a category.
Improved Input Snippet
"I want to start with something your COO said publicly at [Industry Conference] last October — that your biggest operational risk was institutional knowledge leaving faster than you could document it. We ran your deployment data before this meeting. You have 847 workflows that touch fewer than three people who understand them. I want to show you what happens to one of those workflows when that person leaves on a Friday."
● What Changed
- Replaced generic opener with the executive's own public statement — Personalization went from 9/25 to 24/25.
- Led with the customer's data (847 workflows), not vendor capabilities.
- Business context is personal and specific before any product appears.
- The scenario is concrete ("Friday") — it creates stakes without a slide deck.
● Why the Score Moved
36 points came almost entirely from Personalization and Business Context. The product did not change. The preparation did. ABPM research confirms that 88% of executives recommend a vendor based on briefing experience, not product features. This opener is built on that data.
What would your score say?
Every example above started where most demos start: the product, not the problem. The score found the structural gaps in seconds. Paste your script or link and get the same diagnostic -- dimension by dimension, with the reasoning behind every point.