Product
When engineering feels hard to read, start with a baseline your team can actually use.
Forgemaster helps teams move from scattered metrics to one clear product story — a delivery baseline, team insights, and surveys in a single connected flow.
Value first, setup second: understand the problem, the workflow, and the outcome before you ever connect.
The pain
Most teams have plenty of engineering data and still struggle to understand what it means.
Metrics exist, but the story is still missing
Teams can open GitHub, project boards, and spreadsheets, then still leave a review without a shared view of what is improving or slipping.
No shared answer — just more open tabs.
Dashboards show activity, not team reality
Raw throughput, pull request counts, and issue volume rarely explain where review friction, interruptions, or delivery drag are actually coming from.
The numbers are there. The cause still is not.
Feedback arrives after the damage is done
By the time leaders hear the team is overloaded or blocked, morale has already dipped and the sprint review is explaining surprises instead of progress.
By the time it surfaces, the sprint is already off course.
What Forgemaster changes
The product connects metrics, dashboard context, team insights, and surveys into one improvement flow.
A baseline dashboard everyone can use
Forgemaster turns GitHub activity into a delivery baseline with the metrics leaders and teams need for one shared starting point.
One view. Weekly reviews start with facts, not debate.
Team insights that explain the numbers
Signals are grouped into insights that show where flow breaks down, where coaching can help, and where a team needs a clearer operating rhythm.
Leaders see the likely cause before the 1:1.
Surveys that add the missing context
Pulse surveys make it easy to validate whether friction is real, uncover what metrics cannot show, and track whether changes are working.
Qualitative and quantitative in the same loop.
Product proof
Real product screens, each tied to one decision your team has to make.
Every view is mapped to a practical outcome: coaching, staffing, compensation, delivery risk, or ownership resilience.
Delivery operations
Operational health and incident pressure in one place
Leaders can read incident context, team activity trends, and contribution breakdown without switching tools.
- Detect downtime and response pressure early.
- Compare contributors with current team demand.
- Use one weekly source for operational reviews.
People and compensation intelligence
Now see who owns what, where expertise is thin, and whether pay is competitive.
Delivery metrics answer what is happening. People intelligence answers what it costs, who carries the risk, and what breaks if someone leaves.
Compensation benchmarks that reflect the market
Track P25, P50, and P75 ranges by career level, role type, and engagement model so every compensation conversation starts from the same market reference instead of a guess.
Compensation conversations start with data, not guesses.
Expertise and technology coverage
See which technologies each contributor focuses on, where depth is concentrated in one person, and where the team is exposed before the next hire or handoff.
See gaps before they become hiring emergencies.
Code ownership and concentration risk
Understand which contributors own which parts of the codebase, where a single departure creates real risk, and which areas have healthy shared coverage.
Know the bus factor before someone hands in notice.
The result buyers buy into
A clearer operating picture that helps teams improve delivery with less guesswork.
What changes in practice
Teams can move from reactive explanations to a repeatable improvement system.
Faster weekly alignment
Managers, leads, and founders can look at the same delivery baseline and spend review time deciding what to change instead of debating what is happening.
Reviews become decisions, not catch-ups.
Earlier visibility into drag
Teams spot stalled reviews, rising context switching, and low confidence before they turn into missed commitments or quiet burnout.
Spot stalls before they turn into missed commitments.
A clearer improvement loop
Metrics, team insights, and surveys stay connected so every change can be measured against both delivery outcomes and team experience.
Changes tracked on both the metric side and the team side.
Onboarding flow
A product flow that starts simple and gets useful fast.
Connect GitHub
Start with a GitHub connection — no scripts, no write access, no pipeline changes.
Read-only onboarding to get the baseline moving quickly.
Generate the dashboard baseline
The product organizes key delivery metrics into a weekly baseline that teams can read without squinting at raw numbers.
One place to review momentum, interruptions, and team-level movement.
Review team insights
Signals are translated into clear insights that point to specific areas worth discussing — not just surfacing numbers, but connecting them to team dynamics.
Insights connect the metric movement to practical next conversations.
Launch surveys and track change
Survey the team when you need context the metrics cannot give you. Compare responses over time to track whether process changes are working.
Quantitative signals and qualitative feedback stay in one loop.
Product preview
A dashboard baseline that turns weekly reviews into actual decisions.
Review time
11.4h
Down from 18.2h after clearer handoff rules.
Cycle time
3.8d
Stable this week, with checkout and infra changes slowing the tail.
Merged pull requests
42
Healthy throughput without a spike in rework.
Team confidence
74%
Survey confidence improved after last process change.
Signals worth discussing
Shared weekly view
Your first team baseline
Leaders review one product story instead of reconciling separate dashboards, filtering noise, and spending the meeting explaining basic context.
Team insights help managers coach earlier and prioritize process fixes before delivery drag turns into missed commitments.
Surveys make the outcome measurable from both the metric side and the human side of the work.
Dashboard
Weekly engineering baseline
GitHub baseline active
What this unlocks
Team insights and surveys
See what the metrics mean for the team behind them.
Teams can compare delivery improvements with confidence, clarity, and interruption load instead of treating people data and delivery data as separate stories.
Team insight feed
Platform
Interrupt load is masking healthy throughput.
Merge volume looks stable, but repeated context switching is pulling planned work off course.
Backend
Review speed improved after ownership tightened.
The dashboard shows shorter review time and fewer stalled pull requests after the new reviewer rotation.
Mobile
Output is steady, confidence still needs attention.
Survey responses point to release anxiety even though throughput remains consistent week to week.
Survey pulse
I know what to focus on this sprint.
81% agree
Reviews are fast enough for my work to keep moving.
67% agree
Interruptions are hurting delivery quality.
54% agree
Why this matters
People and compensation intelligence
Know who owns what, where expertise is thin, and whether pay reflects the market.
Beyond delivery metrics, Forgemaster helps leaders understand the human picture: who carries the most code risk, where expertise gaps exist, and whether compensation benchmarks are keeping up.
Compensation benchmarks
Mid Engineer
$128k
$112k – $145k
At marketSenior Engineer
$158k
$138k – $178k
Below P50Staff Engineer
$192k
$172k – $215k
At marketEng Manager
$175k
$155k – $198k
At marketCode ownership map
Where ownership is concentrated and where the team has healthy coverage across the codebase.
Auth & access control
1 contributor
91%
High concentrationPayments & billing
2 contributors
68%
Medium concentrationFrontend components
5 contributors
34%
Low concentrationHigh concentration means one person leaving creates real risk to that area.
Expertise coverage
Technology depth by contributor, so leaders can see where the team is strong, where coverage is thin, and where a departure creates a knowledge gap.
TypeScript
8 contributors
Go
2 contributors
Terraform
1 contributor
PostgreSQL
4 contributors
Connected to compensation
Expertise and ownership signals feed into contributor valuation weights, so compensation benchmarks can reflect actual depth, not just title.
Trust & security
Built for teams connecting sensitive engineering data.
Read-only GitHub access where possible
Careful handling of team and delivery data
Minimal-retention posture by default
FAQ
The questions teams ask before they start with GitHub.
What do we get first after connecting GitHub?
The product generates a delivery baseline from your GitHub activity — commit patterns, pull request flow, review time, and cycle time. That's what you see first.
Why pair metrics with surveys?
Metrics tell you what happened. Surveys tell you why. Pairing them lets you see whether a delivery slowdown comes from process, tooling, workload, or confidence — not just that it happened.
Is this only for large engineering organizations?
No. Small teams often get the most from a clear baseline because they don't have dedicated tooling or engineering analysts. The onboarding flow is designed to be lightweight.
Does this replace the tools we already use for metrics?
It doesn't try to replace everything. Forgemaster is designed to sit alongside existing tools and add the layer that makes metrics readable and actionable.
How long does the onboarding flow take?
The GitHub connection and baseline generation is a short workflow. The goal is to have something useful before the end of your first session.
How is GitHub access handled?
Forgemaster uses read-only access where possible. The onboarding does not require write permissions, pipeline changes, or script installation.
What does compensation benchmarking include?
You can track P25, P50, and P75 market ranges by career level, engagement type (employee, contractor, intern), and compensation model (base salary, total comp, or hourly). Benchmarks are tied to validity windows and can be synced against market data sources so the reference stays current.
How does expertise coverage work?
Forgemaster infers each contributor’s technology focus from commit history and maps it to the areas of the codebase they touch most. You can see depth across your stack at a glance, spot where only one person carries a technology, and use that picture alongside compensation benchmarks when planning.
What is code ownership and why does it matter?
Code ownership shows how much of each codebase area each contributor has authored and maintained. When one person owns 80 percent of a critical system, that is a concentration risk worth knowing before it becomes a retention or succession problem. The ownership map makes that visible.