Stop Drowning in Metrics.
Your dashboard has 47 metrics. You check 5. You act on 2.
This isn’t a time management problem. It’s a signal-to-noise problem.
Let’s track what matters instead and know what to do when a metric moves.
The Problem With Most Engineering Metrics
Here’s what usually happens: Someone reads a blog post about DORA metrics. You add them to the dashboard. Then someone mentions developer productivity. More metrics. Then NPS. Then cycle time. Then sprint velocity.. and so on.
Six months later, you have a dashboard that is overloaded with information that overwhelms everyone.
Let’s take a different approach. Let’s hone in on a few metrics, the ones that actually impact your decisions.
The 3-Category Framework
Every engineering organization needs visibility into three areas:
Delivery: Are we shipping what matters?
Quality: Are we building it right?
Sustainability: Can we keep doing this?
That’s it. Three categories. Two to three metrics each. Here’s what to track:
Delivery Metrics
These answer: Are we making progress on what actually moves the needs for users and the business?
Feature Adoption Rate - Percentage of active users engaging with features shipped in the last 30 days.
Why it matters: Shipping features no ones uses is waste. This metric forces conversations about whether you’re building the right things, not just building things right.
Red flag: Below 20% adoption after 30 days means you’re either building for the wrong audience or your onboarding is broken.
Where to get it: Product analysis tools (Amplitude, Mixpanel, PostHog) with feature flags or event tracking.
Planned vs Delivered Ratio - Ratio of committed work items to completed work items per cycle (sprint, month, quarter).
Why it matters: Consistent overcommitment destroys trust with stakeholders and morale with teams. Consistent undercommitment suggests sandbagging or unclear priorities.
Reg flag: Below 70% for two consecutive cycles = planning is broken. Above 95% consistently = team is playing it too safe or estimates are inflated.
Where to get it: Jira, Linear, Asana or any project management tool with commitment tracking.
Quality Metrics
These answer: Are we creating technical debt faster than we’re paying it down?
Incident Frequency & MTTR - Number of production incidents per month + Mean Time to Recovery
Why it matters: This is the truest measure of system health and team responsiveness. More incidents = quality erosion. Longer MTTR = knowledge gaps or toolings problems.
Red flag: Incident count trending up over 3 months, or MTTR above 2 hours consistently. Either means you’re accumulating tech debt or losing institutional knowledge.
Where to get it: PagerDuty, Opsgenie, Incident.io, or manual tracking in Notion/Confluence.
Change Failure Rate - Percentage of deployments that result in degraded service, requiring a rollback or a hotfix
Why it matters: This is DORA’s most predictive metric. High change failure rate kills deployment confidence and slows everything down.
Red flag: Above 15% means something in your testing, code review, or release process is broken.
Where to get it: CI/CD logs (GitHub Actions, GitLab CI, CircleCI) + incident tracking.
Customer-Reported Bug Rate - Number of bugs reported by customers (not QA or internal teams) per active user per month
Why it matters: Your test suite can have 100% coverage and you can still be shipping a bad experience. This metric tells you what users actually feel.
Red flag: Upward trend over 2 months = quality is slipping in ways your internal processes aren’t catching.
Where to get it: Support ticket systems (Zendesk, Intercom, Front) filtered to “bug” category.
Sustainability Metrics
These answer: Can this pace continue without breaking people or systems?
Team Energy Score - Monthly 1-question pulse: “On a scale of 1-10, how sustainable does your current workload feel?”
Why it matters: Burnout doesn’t show up in velocity or JIRA. It shows up here first. By the time attrition hits, it’s too late.
Red flag: Team average below 6 for two consecutive months is something to take seriously and talk to your team in 1×1s or Retros to do a deep dive into this.
Where to get it: A simple Google form, Slackbot survey or tools like CultureAmp.
Time Spent on Unplanned Work - Percentage of engineering time spent on incidents, urgent bug fixes, and fire drills vs planned feature work.
Why it matters: This is the single best predictor of team morale and forward progress. High unplanned work = constant context switching and never finishing anything meaningful.
Red flag: Above 30% for more than a month means you’re in reactive mode. Technical debt or product instability is controlling your roadmap.
Where to get it: Manual tagging in Jira/Linear or time-tracking tools. Can also approximate using ticket labels.
Deploy Frequency - How often you ship to production
Why it matters: Not because “fast is good” but because frequent deploys mean your process is smooth, your confidence is high, and changes are small so generally easier to debug and rollback.
Red flag: Deploy frequency dropping over time = fear is creeping in. Usually means change failure rate is climbing or releases are painful.
Where to get it: CI/CD pipeline logs, deployment tracking tools, or GitHub/GitLab release history.
Leadership Action Item of the Week
Pick three metrics. One from Delivery, one from Quality, one from Sustainability.
Pull the last 3 months of data. Ask yourself: “If I’d been tracking this, what would I have done differently?”
Setup the tracking and make it a habit to check it weekly. Also share these metrics publicly with your team. The transparency will create accountability and trust.
What’s Next?
Setting Clear Expectations in Growing Teams
How to Scale Without Burning Out Your ICs
Velocity vs Durability: Pick Both
AI Developer Productivity: Signal vs Noise
Want something covered? Hit reply and tell me. I love hearing what you’re dealing with.
Work With Me
Resume Review
A detailed review of your resume with specific, actionable feedback to strengthen your story, highlight impact, and position you for Engineering IC or Leadership roles.
Mock Interviews
A practice session tailored to Engineering IC or Leadership roles. You’ll get structured feedback, real scenarios, and clarity on what interviewers actually look for.
1:1 Mentorship
A session focused on your career growth, navigating leadership challenges and building a roadmap toward your next role.
📬 Reply back to this email to book a 30 min session (free for subscribers!)
Meme of The Week
In case you haven’t heard, Moltbook is where AI Agents communicate on a Reddit-like platform with each other
That’s a wrap for this week’s issue of CodingBeenz! 👩💻
Track less. Decide more. And remember: Good metrics show you the problem, great metrics guide you to a solution.
Until next time,
Sabeen
P.S.
If you’re new here, grab your virtual beanbag, settle in, and feel free to share this with a fellow builder who loves coffee-fueled “how to run Engineering” arguments (or discussions 🤪). ☕💡