Table of Contents
Features - Start Here
Welcome to the LinearB Feature Hub. This page provides a single, organized place to explore every major product capability — with clear explanations, deep-links, and self-serve guides that help teams…
Welcome to the LinearB Feature Hub. This page provides a single, organized place to explore every major product capability — with clear explanations, deep-links, and self-serve guides that help teams understand value and put features into practice.
Use this hub to quickly learn what a feature does, when to use it, and how to configure it inside your LinearB workspace.
Forecasting
What it does
Forecasting helps engineering leaders understand when in-progress initiatives are likely to complete. Using historical team behavior, issue complexity, and real-time Git activity, LinearB predicts delivery timelines with higher accuracy than manual estimations.
When to use
- Planning major features or releases
- Evaluating delivery risk
- Communicating timelines to stakeholders
Go to full guide
Project Delivery Tracker
What it does
Project Delivery Trackers (PDTs) provide a single view of progress across multi-repo, multi-team initiatives. PDTs track completion, scope, dependencies, cycle time, risk, and bottlenecks across complex cross-team projects.
When to use
- Cross-team initiatives and programs
- Executive visibility for large deliverables
- Combined Git + PM-based progress tracking
Go to full guide
Resource Allocation
What it does
Resource Allocation shows where engineering time is actually being spent — Roadmap vs. Customer vs. Maintenance vs. Unplanned work — using real merged PRs, not estimates.
When to use
- Quarterly planning / OKR alignment
- Cost-cap & R&D capitalization analysis
- Understanding unplanned and interrupt-driven work
Go to full guide
Investment Strategy
What it does
Investment Strategy aggregates Allocation data into an executive-level view of how engineering effort is distributed across strategic categories — validating whether teams are investing where the business intends.
When to use
- Portfolio review & strategic planning
- R&D capitalization support
- Investment/mix analysis over time
Go to full guide
Team Iterations & AI Iteration Summary
What it does
Iterations shows actual sprint activity — planned work, completed work, unplanned additions, unlinked branches, contributors, and Git activity. AI Iteration Summary generates a clean, actionable narrative of the sprint for retros and leadership updates.
When to use
- Daily standups (current sprint view)
- Sprint retros (retro view + AI summary)
- Predictability and planning accuracy reviews
Go to full guide
Developer Coaching
What it does
Developer Coaching provides actionable, personalized insights for each developer using metrics like PR Size, Review Responsiveness, Active Days, Knowledge Areas, and Workload Balance. It helps foster healthy engineering habits and targeted skill development.
When to use
- 1:1s and coaching conversations
- Career development & skill progression
- Improving review quality & flow
Go to full guide
MCP Server
What it does
The MCP Server connects LinearB with the Model Context Protocol ecosystem. It enables deeper AI-powered workflows and automations beyond the standard LinearB platform.
When to use
- Teams leveraging MCP-compatible AI tools
- Integrating LinearB data into custom LLM workflows
Go to full guide
Surveys
What it does
Surveys give you direct input from developers to complement your metrics. Use surveys to assess Developer Experience, Workload, Wellness, and team sentiment.
When to use
- Quarterly morale and DX assessments
- Understanding workload and burnout risk
- Comparing sentiment before & after process changes
Go to full guide
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Feature - Team Iterations & AI Iteration Summary
