Engineering Productivity
Why “The Team Is Busy” IsNot Good Enough for a CEO
Engineering productivity is not about how busy the team looks. It is about whether the company uses its engineering time, skills, and money on work that truly helps the business grow.
The CEO asks
"How are things going?"
The answer comes back
"The engineering team is really busy."
That sounds reassuring. But what does it actually tell you? Not much.
The team could be busy with:
- Fixing bugs
- Dealing with technical debt
- Responding to internal requests
- Redoing work that was not planned correctly the first time
They could also be busy on ten different priorities when the business really needs them focused on two.
Being busy shows people are working, but it doesn't mean the work is important or adds value to the business.
What Are We Occupied With?
Engineering teams rarely struggle to find work.
Consider a team building a major product. Everyone seems fully occupied with coding, reviews, bug fixes, and requests. But the project keeps slipping.
30%
of capacity goes to fixing production issues
20%
of capacity goes toward technical debt
Several
engineers are waiting on another team
2x
product priorities have changed
Rework
because requirements changed after development started
The team is busy. But the business is not necessarily getting the progress it expected from that engineering investment.
That is why you can't understand engineering performance simply by looking at how much activity is happening.
A more useful question
What is the team busy doing, and how much of that work helps the business move forward?
Busy Doesn't Tell You Whether the Work Matters
Activity, productivity, and value are different.
01
Activity
Means work is happening.
02
Productivity
Asks how effectively work is getting done.
03
Value
Asks whether the work is contributing to an outcome the business cares about.
These three things can move in very different directions.
A metric can tell you that something changed. It doesn't always tell you whether the change was good, bad, expected, or tied to an important business priority.
For a CEO, that context matters more than the raw activity.
The CEO Doesn't Need a Developer Activity Score
There is a temptation to solve this problem by measuring more.
Count
Commits
Count
Tickets
Count
Pull requests
Count
Hours
Count
Deployments
Then compare the numbers across teams or individuals. But that can create the wrong behavior.
If engineers know they are being judged by activity, they may naturally focus on producing more visible activity rather than creating more value.
One team might be working through a large, complex product change. Another might be closing many small maintenance tasks. The numbers differ because the work differs.
The goal of developer productivity should not be to create an activity leaderboard. It should be to help leadership understand how engineering capacity is being used. That means asking questions such as:
- What is engineering working on right now?
- How much capacity is going toward strategic priorities?
- How much is being consumed by maintenance and unplanned work?
- Where is work getting delayed?
- Which projects are at risk?
- Where are teams repeatedly redoing work?
- Are engineering priorities aligned with business priorities?
Those questions provide much more useful information than asking whether everyone is busy.
What Leaders Actually Need to Understand
A CEO does not need to follow every pull request or understand every technical decision. They need a clear view of how the company's engineering investment is translating into progress.
That starts with understanding where engineering capacity is going. For example, suppose a company has three major priorities for the quarter:
-
Priority 1
Launch a new customer product.
-
Priority 2
Improve reliability for existing customers.
-
Priority 3
Reduce operational costs.
Leadership should be able to understand whether engineering work reflects those priorities. If most capacity instead goes to unplanned support work, recurring bugs, internal requests, or rework, that is important information.
It does not automatically mean the engineering team is performing poorly. There may be legitimate reasons for the work. But leadership needs to see the difference.
The same applies to delivery delays. If a project is behind schedule, the useful question is not simply, "Why isn't the team working harder?" It might be: "Where is the work getting stuck?"
These are management and planning issues, not simply questions of individual effort.
The Difference Between Activity and Value
This is the central distinction.
More commits + more tickets + more hours ≠ more business value
Consider two scenarios.
Scenario 1: High activity
300
Tickets
500
Commits
40
Deployments
But much of the team's time goes to bug fixes, urgent requests, and rework.
Scenario 2: Lower activity
120
Tickets
200
Commits
15
Deployments
But those efforts deliver a major customer feature that supports an important revenue initiative.
Which team created more value? The activity numbers alone cannot answer that.
That is why you should consider engineering productivity in the context of business priorities, delivery outcomes, and how work moves through the organization. Useful engineering metrics can help provide that context.
These metrics can reveal how work is flowing:
They can help leadership see whether engineering capacity is being consumed by productive delivery or by friction around delivery.
The point is not to find one magic number. It is to build a clearer picture of what is happening.
Busy Can Actually Be a Warning Sign
Sometimes, "Everyone is busy" should prompt another question: Busy with what?
A team that is constantly busy but struggles to finish important work may have a problem with:
Capacity
Prioritization
Dependency
Planning
For example, imagine a team starts eight projects but finishes only three.
Everyone remains occupied. Work continues. Meetings happen. Tickets move. But progress across the company's most important priorities remains slow.
The problem may not be a lack of effort. The problem may be that too much work is competing for the same capacity.
This is where engineering management plays an important role. Leadership needs enough visibility to identify patterns like these before they become larger business problems.
Look at Capacity, Not Just Activity
A more useful leadership conversation focuses on how you allocate capacity. Think of engineering capacity as a limited budget of time and talent.
That budget can go toward:
Not all of these are avoidable. A healthy engineering organization will always need to spend some capacity on maintenance, reliability, and unexpected issues. The important thing is understanding the balance.
If recurring problems consume a growing share of capacity, that is useful information. If strategic projects repeatedly lose capacity to urgent requests, leadership should know. If the same type of work keeps being redone, there may be an underlying process or planning issue worth addressing.
This gives CEOs a much better understanding of engineering costs.
The question is no longer
"How much are we spending on engineering?"
It becomes
"What are we getting from that investment, and where is that investment being consumed?"
How GitRevio Looks at the Bigger Picture
GitRevio connects engineering and delivery data from systems such as GitHub, GitLab, Jira, Linear, and CI/CD tools to help leaders understand what is happening behind the activity.
The goal is not to score developers or create another productivity leaderboard. Instead, GitRevio helps connect the different signals around engineering work so leaders can understand delivery patterns and the reasons behind them.
For example, a CEO may see delivery slow down. Instead of stopping at the metric, the conversation can move toward:
That context turns engineering data into a more useful leadership conversation. It also helps answer questions such as "Why did delivery slow down this month?" or "Where is the engineering capacity going?"
The objective is simple: help leaders understand the system behind the activity without requiring them to manage engineering at the individual level.
From "Are They Busy?" to "Are We Working on the Right Things?"
This is the shift CEOs should make.
Easy to answer
"Are the engineers busy?"
The answer will almost always be yes.
More valuable
"Is our engineering capacity going toward the work that matters most?"
That question connects engineering activity to business priorities. It also creates a healthier conversation between business and engineering leaders.
Instead of pressuring teams to produce more visible activity, leadership can focus on whether priorities are clear, whether work is flowing, whether unnecessary work is consuming capacity, and whether important initiatives are progressing.
That is a much more meaningful view of engineering performance.
Conclusion: Busy Is Not the Goal
A CEO does not need an engineering team that simply looks busy. They need to know that the company's money, time, and talent are being directed toward the right work.
Sometimes the most valuable engineering team in the company may not have the most commits, tickets, or deployments. It may be the team quietly solving a critical customer problem, reducing a major source of operational risk, or delivering an important product capability.
Busy
is the activity.
Productivity
is about how work gets done.
Value
is about whether that work matters to the business.
Understanding the difference gives CEOs a better way to think about engineering productivity: not as a measure of how busy people are, but as a way to understand whether engineering investment is producing meaningful progress.
Frequently Asked Questions
No, not really. Being busy only tells you people are working; it doesn't tell you whether that work matters or matches business needs. If you want to get a real sense of productivity in engineering, you have to look at things like delivery outcomes, how work gets assigned, where bottlenecks occur, how much work gets redone, and any other factors that might alter the situation.
CEOs don't benefit much from metrics that just count things people do. What actually helps is understanding how work moves through the engineering team. So, for example: lead time, cycle time, how long code reviews take, how often they deploy, how much work is in progress, and things like rework or blocked work. Those all create a more complete picture.
To understand what engineers can actually handle, look at how their time and effort split across product features, maintenance, bugs, technical debt, incidents, internal requests, and anything unexpected that shows up. Simply put, figure out where the time goes and whether it matches what matters most to the business.
Metrics like commits, pull requests, or closed tickets only show how busy the team is. These numbers don't show whether their work actually moves the business forward. You can look busy and still not deliver real value.
Engineering productivity is about impact, not activity. It's not the number of hours worked or lines of code written; it's whether the team delivers results that matter to the company.
When you tie engineering efforts to business goals, you help people stay focused on what's important. People end up spending time on work that actually benefits the company and benefits customers. That's what counts.