HUMAN vs MACHINE
Pattern matching validated at 85–90% accuracy against real industry outcomes. Select a case to see the system recommendation vs what the company actually did.
LogMeIn
SaaS · Activation crisis
88/100
Airtable
PLG · Onboarding scale
90/100
Calendly
SaaS · Portfolio allocation
85/100
This is a demo portfolio. Paste your first signal to see your own initiatives, patterns, and conflicts surface in real time.
4
ACTIVE INITIATIVES
2 now · 1 next · 1 later
2
OPEN CONFLICTS
Requires investigation
3
GUIDANCE ITEMS
1 immediate · 2 this week
SIGNAL RHYTHMS
A · Prediction vs Reality OKRs
WATCHB · Commercial & Customer Health
WATCHC · Delivery & Risk
FLAGD · Exploration & Validation
CLEARE · Design & Demo
CLEARDAILY SYNTHESIS · TODAY
Commercial & Customer Health signals are mixed — pipeline is healthy but win rate has declined 8 pts over 6 weeks. Delivery is under pressure: dependency aging on the onboarding initiative is now 18 days. The GRR/CS sentiment conflict is your most urgent investigation. Prioritize the onboarding rework and resolve the retention signal before planning next sprint allocation.
Pattern active: Low Activation + Scaling Without Retention
INITIATIVES
Onboarding Rework
Pattern: Low Activation
Enterprise Expansion Module
Pattern: Enterprise Deal Friction
Self-Serve Analytics Dashboard
No pattern match yet — add signals
AI-Powered Workflow Suggestions
Horizon: Later — in discovery
SIGNAL INPUT
Paste any signal — meeting notes, metric exports, CS summary, Slack thread. No schema required. The system maps it to your initiatives and patterns.
SIGNAL RHYTHM (optional)
A · Prediction vs Reality OKRs
B · Commercial & Customer Health
C · Delivery & Risk
D · Exploration & Validation
E · Design & Demo
LOAD AN EXAMPLE
SID OUTPUT
Paste a signal and run analysis.
Signal → Insight → Decision.
Results appear here.
Signal → Insight → Decision.
Results appear here.