×
Chat responses per minute
What the room did as the launch moved
X = elapsed time · Y = chat messages
Review
MyGentic IR Brain
The launch created demand.
Clarity became the bottleneck.
Proof built belief. The system and offer still needed one clean picture.
3,931 raw chat records
717 transcript cues
810 question candidates
+ Click any visual for detail
Exact chat timeline
Time → Kane topic → chat response.
00 — Room pulse
Attendance peaked at 1,000.
Review
Attendance climb
107 → 1,000
10:51 AM → 11:38 AM · 47 minutes to peak.
Reached at 11:38 AM.
Excluded from audience analysis.
1 host · 3 moderators · 3 staff.
Across the full meeting.
55010 min · +44311:01 AM · 44/min
75014 min11:05 AM
90923 min11:14 AM
1,00047 min11:38 AM
Attendance by clock time
How fast the room filled
X = time · Y = attendance
Moderators
Who answered most—and who posted most
Answered most
Nathan Wildman
Posted most
Nathan Wildman
01 — Emotion + demand
Kane won belief with proof.
Offer clarity became the drag.
Reveal → excitement. Offer → demand. Late Q&A → friction.
135 attendees
25 attendees
12 attendees
Audience response by five-minute window
What Kane said—and what the room signaled
Excitement
Demand
Friction
Share of attendee messages in each window. Timing shows order, not cause.
Message-level sentiment
The chat was overwhelmingly informational
2,703 attendee messages · minutes 13–109
Demand signals
Buying signals appeared
Affiliate demand
6
explicit questions
9 intent messages
8 attendees
Student support pressure field
Teach the map first
Circle area follows count · units labeled inside
02 — Kane patterns
Kane repeats a clear persuasion arc.
Core sequence
Authority→Reframe→Metaphor→Proof→Offer→Clarify
Presentation arc
96 minutes of substantive launch content
Minutes 13–109 · phase boundaries are editorial coding from the transcript
Language pattern scan
What the launch kept reinforcing
Transcript cue hits · overlapping patterns
The transcript labels all stage speech as “Presenter.” These are Kane-led launch patterns, not exact per-speaker counts.
03 — Kane confusion
Questions surged when the offer arrived.
Question pressure by five-minute window
The clarification burden arrives late
Support-relevant question instances
04 — Customer-service forecast
Prepare for explanation, setup, and offer verification.
Ranked demand signals
Where the questions clustered
Theme counts overlap
Four-lane triage
Every question needs one clear next move
Operating handoff
Evidence ready. Policy still needs owners.
Source + working assets
Sanitized transcript/chat, question bank, system map, SOP, billing intake, and this visual readout.
Owner-confirmed truth
Pricing terms, renewals, trial, entitlements, credits, BOS/BOSS, privacy, teams, and commercial rights.
Google Doc publishing
Supply the blank Industry Rockstar Google Doc and approve the exact write. No Drive changes were made.
How to read this report
Presentation phases are editorial coding of the sanitized transcript. Language-pattern counts are regex-assisted transcript cue hits. Question categories are a mechanical multi-label index backed by the curated question bank.
Attendance uses Zoom join/leave intervals merged by private identity. The graph shows the maximum simultaneous count reached inside each minute. The clean line removes one host, three moderators, three staff members, and 45 automated notetakers. Names and email addresses are not written into this report.
Sentiment labels come from matched words in anonymized chat. They are not diagnoses, satisfaction scores, purchases, or proof of cause. Counts show launch-chat pressure—not future ticket totals. Billing, refunds, access changes, compliance claims, and commercial rights still need approval.
Last page · Kane's eyes only
For Kane's
eyes only.
Seriously. Kane only.
Kane response map
Belief rose first. Buying questions followed the offer.
Kane feedback
Keep the proof. Move the map and offer truth earlier.
Transcript → chat
What Kane said. What they asked next.
Exact source order. What followed—not what caused it.