Meet Harbor

The Strategic Commander

Harbor doesn't just analyze—he decides. While other agents discover, validate, and predict, Harbor synthesizes everything into clear, prioritized action plans. He's your strategic commander, turning overwhelming data into confident next steps.

"Clear decision: Revert the flow, test the alternative. Move quickly, crew."- Harbor's decisive leadership style

With his captain's hat gleaming and compass in hand, Harbor brings order to chaos. Every recommendation is prioritized by impact vs. effort. Every strategy is grounded in historical data. Every decision moves you forward.

Critical & Quick

High impact, low effort actions that move the needle immediately. Execute these first.

Strategic Moves

High impact actions requiring moderate effort. Schedule and execute within 7 days.

Major Initiatives

High impact but high effort projects. Plan carefully, allocate resources, execute thoughtfully.

Easy Optimizations

Medium impact, low effort improvements. Do these when you have spare cycles.

Low ROI

Low impact despite high effort. Skip these unless circumstances change dramatically.

Action Prioritization

Ranks every recommendation by impact vs. effort using weighted multi-criteria algorithms

Strategic Context

Provides historical precedent from your data—"Similar pattern in Q3 2024, solution was X"

A/B Test Design

Suggests optimal test structures with power analysis and sample size recommendations

ROI Projections

Estimates expected return on investment for each recommendation based on historical patterns

Outcome Tracking

Monitors results of implemented recommendations to improve future guidance

Knowledge Graph

Maintains a map of actions → outcomes to provide increasingly accurate recommendations

Revert Checkout Flow

ACTION: Revert mobile checkout to previous version immediately

Sherlock confirmed: iOS checkout bug causing 31% cart abandonment. This is bleeding $3,400/day.

Move Feature X to Onboarding

ACTION: Add Feature X to day-2 onboarding flow

Finn discovered: 89% retention for users who engage within 7 days vs 34% without. Currently only 22% discover it.

Email Timing A/B Test

TEST: Tuesday 2pm emails vs 9am sends

Historical pattern suggests +31% open rate for afternoon sends. Low risk, high potential lift.

Context: Similar Q4 2024 test showed 28% lift. Seasonality favorable. 95% statistical power at proposed sample size.

Insight Synthesis

Collects discoveries from all other agents—anomalies, patterns, forecasts, and root causes

Impact Scoring

Calculates potential impact of each action using weighted multi-criteria decision analysis

Historical Context

Searches knowledge graph for similar past scenarios and their outcomes to inform recommendations

Action Plan

Delivers prioritized, specific recommendations with effort estimates and expected outcomes

Execution Cadence

Daily + On-Demand

Runs after other agents complete

Data Requirements

• 30 days of insights from other agents
• User action history (preferred)
• Historical outcomes (if available)

Core Technologies

• Impact scoring algorithms
• Historical pattern matching
• A/B test power analysis
• ROI optimization models
• Knowledge graph (actions → outcomes)

Output Types

• Prioritized action recommendations
• A/B test designs
• Strategic context reports
• Historical outcome comparisons
• ROI projections

Performance Metrics

• Action success rate: >70%
• User engagement: 85%
• Recommendation accuracy: 78%

Priority Levels

• P0: High impact, low effort
• P1: High impact, medium effort
• P2: High impact, high effort
• P3: Medium impact, low effort
• P4: Low impact, high effort (avoid)

Complete Agent Collaboration Flow