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Business Outcomes

Progress Tracking

Monitoring how work evolves over time, including dependencies, ownership, and status changes—enabled by temporal memory and structured agent context.

Progress Tracking

Progress tracking is monitoring how work evolves over time—capturing state transitions (To Do → In Progress → Done), ownership changes (Alice → Bob), dependency resolutions, and velocity patterns. Unlike static status snapshots, progress tracking understands the journey: what happened, when, why, and who was involved.

Progress tracking is powered by temporal memory and event timelines. It answers questions like: "Is Project Alpha on track?", "Which tasks have been stalled for >7 days?", "How fast are we completing work?", "What's blocking progress?" This context enables proactive management, pattern detection, and data-driven decisions.

The outcome is teams and leaders who spot problems early, understand velocity trends, and manage work based on evidence, not intuition.

Why it matters

  • Enables early problem detection: Stalled tasks, recurring blockers, and velocity drops surface automatically—before they become crises.
  • Provides data-driven insights: "We complete 15 tasks/week historically, this week only 8—what changed?" replaces guesswork.
  • Supports accountability: Ownership changes are tracked—clear responsibility and handoff history.
  • Improves forecasting: Understanding historical velocity and patterns enables better timeline estimates.
  • Reduces status sync overhead: Automated tracking eliminates "what's the status?" questions—data is always current.
  • Facilitates retrospectives: Post-project reviews benefit from accurate timelines, not faulty recall.

How it works

Progress tracking operates through event capture, temporal indexing, and pattern detection:

  • Event Capture → Every state change, assignment, and milestone is recorded: "Task 123 moved to In Progress Nov 1 10:15am by Alice."
  • Timeline Building → Events are sequenced chronologically: Task created → assigned → started → blocked → resumed → completed.
  • Metadata Enrichment → Events include context: who triggered change, why (blocker added: "waiting on design review"), impact (velocity affected).
  • Pattern Detection → The system identifies trends: "5 tasks stalled in In Progress for >7 days," "Velocity dropped 30% this sprint," "3 blockers in Gamma project added in 2 weeks."
  • Query and Alerts → Users query: "Show me stalled tasks," "What's our velocity trend?" Agents proactively alert: "Task 101 has been blocked for 5 days with no updates."
  • Visualization → Progress is displayed: burndown charts, timeline views, velocity trends—grounded in temporal memory.

This pipeline transforms raw events into actionable progress insights.

Comparison & confusion to avoid

TermWhat it isWhat it isn'tWhen to use
Progress TrackingMonitoring work evolution with temporal awarenessA static status dashboard—tracking understands change and velocityUnderstanding how work is evolving, not just current state
Status SnapshotCurrent state at a point in timeHistorical context and trends—snapshots don't show evolutionReporting current state—not velocity or patterns
Activity LogChronological list of all eventsAnalyzed progress with patterns and alerts—logs are raw dataAudit trails—not synthesized insights
Burndown ChartVisualization of remaining work over timeProgress tracking—burndowns are one view; tracking includes alerts, patterns, queriesVisualizing sprint progress—not comprehensive progress monitoring

Examples & uses

Sprint progress tracking
Team queries: "How's our sprint progressing?" Memory returns: "8/10 planned tasks completed, 2 tasks blocked (API dependency, design review). Velocity: 85% of plan (down from 95% last sprint). Pattern detected: 3 tasks stalled in In Progress >3 days—check with owners." Team addresses stalls proactively.

Project milestone tracking
Leadership queries: "Is Project Alpha on track for Dec 1 launch?" Memory returns: "15/20 milestones complete. 3 milestones at risk (Task 45: blocked, Task 67: no owner, Task 89: overdue 5 days). Based on current velocity: Dec 8 likely completion—7 days behind." Leaders decide whether to adjust scope or deadline.

Blocker detection and alerting
Agent monitors progress: "Task 101 moved to Blocked status on Nov 3 (reason: waiting on legal review). No updates for 5 days." Alert sent: "Task 101 blocked for 5 days—owner: Bob, blocker: legal review. Recommend follow-up." Proactive intervention prevents further delay.

Best practices

  • Track state transitions with timestamps: "Task moved to In Progress" should include when and by whom—temporal context is critical.
  • Record why changes happen: "Blocked" should include reason: "waiting on API fix," "design review pending"—context aids resolution.
  • Monitor velocity trends: Track tasks completed per week/sprint—detect slowdowns early.
  • Set stall thresholds: Alert when tasks are in one state too long (e.g., >7 days In Progress with no updates).
  • Track ownership changes: "Task 123 transferred from Alice to Bob on Nov 5"—handoffs affect progress.
  • Combine quantitative and qualitative: Velocity numbers + blocker reasons = complete picture.

Common pitfalls

  • Only tracking current state: "5 tasks in progress" is less useful than "2 tasks stalled for 7 days"—temporal awareness matters.
  • No blocker tracking: Knowing tasks are blocked without capturing why or how long limits problem-solving.
  • Ignoring velocity trends: Teams assume consistent progress—velocity analysis reveals slowdowns that simple status hides.
  • Manual tracking: If progress depends on people updating status, it's stale—automate event capture from tools.
  • No proactive alerts: Waiting for people to query progress misses problems—agents should surface stalls and risks.

See also


See how Graphlit enables Progress Tracking with agent memory → Agent Memory Platform

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Progress Tracking | Graphlit Agent Memory Glossary