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Four Flow Strategies: From Balanced to Rapids

Four flow strategies visualization

Four strategies for dynamic team distribution

November 5: The realization hit during a late-night coding session. Static task assignment doesn't match real project dynamics. Teams don't work the same way in steady-state development as they do approaching deadlines. They definitely don't work the same way during a production crisis. What if the AI could shift strategy based on project state? Not just "who should do this task," but "how should the entire team be distributed right now?"

The Problem with Static Assignment

Most project management tools—including our Phase 1 prototype—treat task assignment as a one-time decision. Assign Dana to debugging. Assign Chris to deployment. Done.

But real teams don't work that way. Project states change. Same team. Different contexts. Should the AI assign tasks the same way in all four scenarios? Probably not.

Strategy 0: Balanced Spread

Balanced Spread

Level 0

Everyone works independently on their own priorities. Good for steady-state work when no urgent bottlenecks exist.

5-Person Distribution:

🔥 Highest Priority:1 person
🟠 High Priority:4 people
🟡 Medium Priority:0 people

"Set flow focus to balanced - everyone take your top priority task"

Best for: Steady development phases, when all work is roughly equal importance, diverse skill requirements

Strategy 1: Gentle Flow

Gentle Flow

Level 1

Slight bias toward critical work while maintaining parallel progress. Creates gentle pressure without overwhelming.

5-Person Distribution:

🔥 Highest Priority:2 people
🟠 High Priority:3 people
🟡 Medium Priority:0 people

"Set gentle flow - pair up on the critical task, others continue high priority work"

Best for: Approaching deadlines, important but not crisis situations, when you want faster progress without stopping everything

Strategy 2: Strong Current

Strong Current

Level 2

Majority focus on the bottleneck while keeping one stream of parallel work flowing. Balances urgency with continuity.

5-Person Distribution:

🔥 Highest Priority:3 people
🟠 High Priority:2 people
🟡 Medium Priority:0 people

"Activate strong current - majority swarm the bottleneck, keep one high-priority stream flowing"

Best for: Clear bottlenecks identified, tight deadlines, when one task blocks multiple others

Strategy 3: Full Rapids

Full Rapids

Level 3

All-hands convergence on the critical constraint. Maximum flow velocity through the bottleneck with prepared next steps.

5-Person Distribution:

🔥 Highest Priority:3 people
🟠 Next Critical Path:2 people
🟡 Everything Else:0 people

"Engage full rapids mode - swarm the bottleneck, prep the next critical path"

Best for: Crisis mode, production issues, launch blockers, when speed matters more than parallel progress

Why This Matters

Most AI task assignment focuses on individual optimization: "Who is the best person for this task?" That's important, but it misses the bigger picture.

Flow strategies optimize at the system level: "How should the entire team be distributed given the current project state?"

That's the innovation. Not smarter individual assignments, but dynamic team distribution that adapts to project context.

Conclusion

November 6: Four flow strategies implemented. Balanced Spread for steady-state. Gentle Flow for approaching deadlines. Strong Current for bottleneck focus. Full Rapids for crisis mode.

The innovation isn't the individual strategies—Theory of Constraints taught us about flow optimization decades ago. The innovation is making it voice-activated, AI-suggested, and adaptable in real-time.

This is what makes Voice Kanban potentially transformative rather than just incrementally better.

From static task assignment to dynamic team orchestration. One voice command at a time.

Austen Maccherone | UX Designer & Applied AI | Portfolio