How to Keep Your Capacity Model From Rotting
Your capacity model died 6 weeks after launch. Prevent decay with lightweight rituals: 15 min/week keeps it alive. Learn the 4 decay modes, warning signs, and fix protocols that catch drift early.
Insights for confident, capacity-led planning
Essays and playbooks for product and engineering leaders adopting iterative estimation and capacity-first roadmapping.
Committed vs. Target vs. Stretch – How to Present Capacity Scenarios to Execs
Learn how to communicate committed, target, and stretch capacity scenarios to executives. Use confidence bands and evidence-based planning to earn buy-in for realistic roadmaps.
Discovery Kanban Rituals That Shrink Roadmap Uncertainty
Run discovery as a kanban, plug weekly rituals into your capacity model, and shrink uncertainty bands from ±4.0× to ±1.1× before you commit. Includes stage-by-stage breakdowns, metrics, and ScopeCone workflows.
Build an effective capacity model in 30 minutes
Learn the difference between gross and effective capacity. Model unavoidable work first, then plan with the time you actually have. Research-backed: 39% velocity gains.
Technical Debt Quadrant: A Visual Guide to Classification & Prioritization
Learn Martin Fowler's Technical Debt Quadrant framework. Map your debt visually, understand the four types, and prioritize paydown with our interactive tool.
Free Technical Debt Tracking Template (Notion)
Get a free Notion template to track technical debt with automatic TDR calculations, quarterly reviews, and integration with ScopeCone's calculators. Includes real-world examples and best practices.
Technical Debt vs Feature Development: A Pragmatic ROI Framework
Use a five-step, research-backed framework to decide when remediation beats shipping features. Model costs with ScopeCone’s calculators, align with finance, and package the story for execs.
Technical Debt Metrics Every CTO Should Track
An evidence-backed guide to the eight metrics that matter—churn, complexity, coverage, duplication, TDR, defect density, change failure rate, and MTTR—complete with peer-reviewed sources, DORA benchmarks, and interactive calculators.
How to Calculate Technical Debt: 5 Methods Compared
Learn how to calculate technical debt with 5 proven methods. Compare cost-based, TDR, automated tools, velocity impact, and manual estimation.
RICE Framework: The Product Manager's Guide to Prioritization
Learn how to use the RICE framework (Reach, Impact, Confidence, Effort) for data-driven product prioritization. Includes research-backed best practices, common mistakes, and a free calculator.
Shrink the cone of uncertainty every week
Use iterative estimation, capacity-led scenarios, and continuous assessment rituals to narrow uncertainty bands from ±4x to ±1.1x—complete with research citations and ScopeCone workflows.
Capacity-led vs. feature-first roadmapping: ship with the team you actually have
See why capacity-led roadmapping outperforms feature-first plans, how to build delivery scenarios, and where ScopeCone fits in your playbook.
Engineering Metrics: A Pragmatic Analysis of What We Actually Know
Discover what the research actually says about DORA, SPACE, and DevEx metrics, and learn how to keep engineering measurement honest.
The True Cost of Technical Debt: What the Research Actually Says
Technical debt drains $1.52T from the U.S. economy and 42% of developer time. Here's what the leading research says and how to measure your own exposure.
Why Engineering Roadmap Estimation Fails (And What It Costs Us)
An engineering leader's honest look at failed roadmap estimation, broken quarterly planning rituals, and what chronic estimation gaps cost software teams.