Services/Project Management & Delivery

Project Management & Delivery

Shift from resource-centric planning to flow-based delivery with real-time metrics, WIP limits, and outcome-driven roadmaps.

Traditional Project Management Creates Waste

Gantt charts, resource leveling, and % complete tracking optimize for utilization—not outcomes. The result? 65% of projects delivered late, over budget, or miss the mark on business value.

65%
Projects fail to meet objectives
20%
Typical flow efficiency
45 days
Average cycle time

Core Capabilities

Flow-Based Delivery Operating System

Flow Efficiency Metrics

Measure value-add time vs wait time across your delivery pipeline. Optimize for flow, not resource utilization.

  • Cycle time by work type
  • Flow efficiency %
  • WIP age distribution
Adaptive Capacity Planning

Monte Carlo-based forecasting that accounts for variability, dependencies, and historical throughput patterns.

  • Probabilistic delivery dates
  • Throughput trends
  • Capacity allocation
Value Stream Mapping

Visualize end-to-end delivery pipelines, identify bottlenecks, and measure lead time from idea to production.

  • Lead time by stage
  • Bottleneck analysis
  • Handoff delays
Outcome-Based Roadmaps

Shift from feature lists to outcome hypotheses with measurable success criteria and continuous validation.

  • OKR attainment
  • Feature adoption
  • Business impact

Essential Flow Metrics

Move from vanity metrics (velocity, burn-down) to actionable flow metrics that drive improvement.

Cycle Time
Time from work start to completion
TARGET:<7 days for 80th percentile
Why it matters: Faster feedback, lower risk, higher predictability
Flow Efficiency
Value-add time / Total time
TARGET:>40%
Why it matters: Eliminate waste, reduce wait states, increase throughput
WIP Age
Distribution of work-in-progress by age
TARGET:<10 days for 90th percentile
Why it matters: Early detection of blockers and aging work
Throughput
Items completed per week
TARGET:Stable +/- 20%
Why it matters: Predictable delivery cadence for planning

Delivery Operating System Stack

Build your flow-based delivery platform in layers, from work management to continuous validation.

Work Management
Jira, Azure DevOps, Linear
Backlog, workflows, dependencies
Flow Analytics
Jellyfish, Swarmia, LinearB
Cycle time, throughput, flow efficiency
Value Tracking
Amplitude, Mixpanel, LaunchDarkly
Feature adoption, experiment results
Forecasting
ActionableAgile, Monte Carlo sims
Probabilistic roadmaps, capacity planning
Automation
GitHub Actions, CircleCI, Jenkins
CI/CD, deployment automation

Maturity Model

Four Levels of Delivery Maturity

L1
Project-Centric

Gantt charts, resource allocation, stage-gate approvals

  • Waterfall/hybrid
  • % complete tracking
  • Resource utilization focus
L2
Agile Adoption

Sprints, backlogs, velocity—but still project-bound

  • Scrum/Kanban teams
  • Velocity tracking
  • Sprint commitments
L3
Flow-Based

WIP limits, cycle time optimization, continuous delivery

  • Pull-based flow
  • Flow metrics
  • Continuous deployment
L4
Outcome-Driven

OKRs, experimentation, value-based prioritization

  • Hypothesis testing
  • Feature flags
  • Business outcome tracking

Real-World Use Cases

Enterprise Software Migration

Challenge: 18-month ERP migration with 50+ parallel workstreams, no visibility
Approach: Value stream mapping, WIP limits, flow-based roadmaps
Results:
  • Cut cycle time from 45 to 12 days
  • Increased throughput by 3x
  • On-time delivery with 85% confidence

Product Engineering Transformation

Challenge: Feature factory mentality, no connection between shipping and outcomes
Approach: Outcome-based roadmaps, feature flags, continuous validation
Results:
  • 30% reduction in features built
  • 2x increase in business impact
  • Engineer satisfaction +28 points

Ready to Optimize for Flow?

Take our delivery maturity assessment to benchmark your capabilities and get a flow-based roadmap.