Self-Improving Task Board
realThe execution layer that turns data into field work.
Purpose
The task board organizes work by urgency, impact, reward, pillar, and status. Completing tasks updates pillar metrics and logs interventions.
When to Use
- When starting a work day
- When assigning volunteers
- When a bottleneck is identified
- When converting AI guidance into action
Best First Action
Sort by impact, open the top critical task drawer, read steps/tools, then claim only if you can finish or hand it off clearly.
Content
Purpose
The task board organizes work by urgency, impact, reward, pillar, and status. Completing tasks updates pillar metrics and logs interventions.
When to Use
- When starting a work day
- When assigning volunteers
- When a bottleneck is identified
- When converting AI guidance into action
Best First Action
Sort by impact, open the top critical task drawer, read steps/tools, then claim only if you can finish or hand it off clearly.
Best Practices
- Use the detail drawer before acting.
- Capture evidence notes before marking complete.
- Bundle nearby tasks into field routes.
- Avoid claiming too many tasks at once.
Common Mistakes
- Clicking complete without field evidence.
- Claiming tasks to collect credits but not doing the work.
- Ignoring dependencies like tools, weather, or labor availability.
Next Steps
- Open Land for zone context.
- Open History after completion.
- Use AI → Task for new task generation.
Best Practices
- Use the detail drawer before acting.
- Capture evidence notes before marking complete.
- Bundle nearby tasks into field routes.
- Avoid claiming too many tasks at once.
Common Mistakes
- Clicking complete without field evidence.
- Claiming tasks to collect credits but not doing the work.
- Ignoring dependencies like tools, weather, or labor availability.
Next Steps
- Open Land for zone context.
- Open History after completion.
- Use AI → Task for new task generation.