Why Software Project Estimates Are Always Wrong (And How to Be Less Wrong)
Software project estimation fails most when teams anchor on the number the sponsor wants. Reference-class forecasting and PERT are how you reduce systematic overconfidence.
Insights on project management, Microsoft Project migration, and AI-powered planning.
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Software project estimation fails most when teams anchor on the number the sponsor wants. Reference-class forecasting and PERT are how you reduce systematic overconfidence.
The project manager soft skills that move outcomes aren't leadership or EQ. Written communication, decisive prioritization, and saying no are the real ones.
A plain-English project management glossary covering 60+ terms from critical path to RAG status, each with a one-sentence definition and a concrete example.
Calling the wrong thing a milestone corrupts status reports. Learn to distinguish milestones vs deliverables vs tasks with clear definitions and examples.
Most project charter templates are bloated with sections nobody reads. Here's the six-part minimum viable charter with worked examples for each section.
RACI gets blamed for team confusion that other frameworks don't solve either. Compare RACI, RASCI, and DACI to find which fits your team size and decision pace.
Most AI in project management is a chat sidebar that summarises text. An MCP-connected agent that plans and executes against your real project data is a different category. Here is the case, and the trust posture that makes it work.
Two new Onplana skills turn any MCP-connected AI agent into a project teammate: one plans the work and one runs it, both free on every plan, with verify-before-done discipline built in.
Connect a Claude Code, ChatGPT, or claude.ai agent to your Onplana projects over MCP. Plan the work with one skill, run it with another, verify it in a browser, never lose a stuck task.