4
Persona Lenses
3
Signal Layers
2
Debate Rounds
1
Ranked Q&A Output
Rare Use Case
Post-Earnings Analyst Questioning Panel
A synthetic persona panel that predicts the toughest analyst questions likely to surface after earnings. Built from financial results, Street expectations, and live market narrative signals.
01
Signal Fusion
We ingest three high-friction signal classes in parallel: reported earnings and guidance, consensus estimates and prior revisions, and broader narrative pressure from market and social channels. The goal is not summarisation. It is tension detection.
Input Stack
Company PrintActuals / Guide
Street ViewConsensus / Revs
NarrativeSentiment / Themes
Risk FlagsVariance Hotspots
02
Persona Panel Construction
The panel is custom-built per coverage context. We synthesize personas such as: skeptical buy-side PM, forensic sell-side analyst, thematic growth specialist, and macro risk allocator. Each persona is calibrated to ask for different proof.
Panel Archetypes
Buy-side PM
Credibility under pressure
High
Sell-side Analyst
Model bridge precision
Very High
Thematic Specialist
Narrative durability
Medium
Risk Allocator
Downside asymmetry
High
03
Question Stress-Testing
Personas independently generate likely questions, then challenge each other's framing in structured rounds. Weak questions collapse quickly. Surviving questions are ranked by probability, reputational risk, and answerability under time pressure.
Ranking Output
Q191
Q284
Q377
Why This Exists
Most teams prepare answers. Very few pressure-test the likely questions with a structured, adversarial synthetic panel ahead of time. This methodology is designed for those rare, high-stakes moments where one badly handled Q&A sequence can reset valuation narrative.