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TaskFlow Dependency Mapper: Embedded Estimation Plugin

A lightweight Jira/Azure DevOps plugin that visualizes task dependencies and automatically calculates realistic completion dates by simulating resource allocation constraints in real-time. As a PM adds team members or marks tasks as blocked, the plugin recalculates the critical path and surfaces the actual finish date, accounting for parallelization limits and non-linear productivity curves.

PLUGIN

19 weeks • 70% confidence

Value Proposition

Unlike static estimation, this shows PMs the LIVE impact of each resource decision. Add one more dev? See the new date instantly. Mark a task blocked? Watch the finish date shift. It's a physics model for project timelines, not a guess—and it lives in the tool PMs already use daily.

Target Audience

Tech teams (10-500 people) already using Jira or Azure DevOps who need live, interactive estimation during sprint/release planning

Key Features

  • Dependency graph visualization with critical path highlighting
  • Real-time date recalculation when resources are added/removed or tasks marked blocked
  • Non-linear productivity curve (2 devs ≠ 2x speed; accounts for communication overhead)
  • And more, with full implementation detail...

Tech Stack

Atlassian SDK (Jira plugin development) Azure DevOps SDK Node.js/React for frontend Graph algorithms library (NetworkX or custom)
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Original Problem

Project managers cannot accurately predict delivery dates from resource allocation

Project managers struggle to estimate realistic project completion dates when given a fixed number of team members, leading to missed deadlines and broken stakeholder commitments. Current estimation methods fail to account for non-linear productivity, task dependencies, and resource constraints, forcing PMs to either over-promise or constantly revise timelines.

Score: 17.5%