Momentum — workflow intelligence
Home
Integrations
Pricing
All solutions
// By industry

Protect deep work for engineering teams

Measure and defend focus time, spot meeting overload, and ship more without working longer.

Book a demo Start free trial

Engineering runs on uninterrupted focus, and most calendars destroy it. Momentum measures real deep work, exposes the meetings and context-switches that fragment it, and gives engineering leaders the evidence to protect it.

// The challenge

What gets in the way

01
Meeting overload

Calendars fill up and the deep work that ships features happens in the cracks.

02
Invisible focus

Velocity metrics miss the focus conditions that actually drive output.

03
Context-switch tax

Constant interruptions fragment attention and quietly slow everything down.

+23%
Shipped output
2h
Protected focus / day
−31%
Context switches
// The full picture

How this plays out for software development

Fragmented days ship fragmented software

Engineering output depends on long uninterrupted blocks, and most engineering days don't have any. Standups, pings, and "quick calls" slice the day into twenty-minute fragments; velocity charts show the slowdown but not the cause. Worse, generic monitoring insults engineers — a terminal, a local VM, or Stack Overflow reads as "browsing" to a tool that doesn't understand the work, and the team rejects it on day one.

Rules that respect how engineers work

In Momentum, the Engineering department gets its own app productivity rules: IDEs, terminals, Git clients, and docs are Productive for engineers even where the global default says otherwise — the same override logic that marks an HR tool productive for HR and not for Engineering. The Timeline then tells the honest story: green active blocks against red idle, App Usage that captures offline tools like local IDEs, and Input Statistics per app. The Activity view scores each day against the target productive hours you set — no screenshots, no keylogging content, just classified time.

Evidence to defend the maker schedule

After a thirty-day baseline, patterns are undeniable on the Workforce Dashboard: the expected-vs-actual trend dips on meeting-heavy days, the most productive apps chart confirms where shipped work actually happens, and department time distribution shows how much of Engineering's desk time is idle or unmarked. That's the evidence an EM needs to institute no-meeting mornings — and the same dashboard shows, a month later, whether the intervention worked.

momentum · software development · dashboardLIVE
Avg productive time / engineer / day5h 55m
Idle share during core hours9%
IDE + terminal share of app time62%
Productivity score trend81% avg
productivenon-productiveunmarked
// Metrics to watch

The numbers that tell you it's working

Every one of these lives on the Momentum Workforce Dashboard — no exports, no spreadsheets. Set your workday, expected desk hours, and target productive hours in General settings, and watch the expected-vs-actual gap close week over week.

KPIs update as agents report in
Expected-vs-actual trend per department
Drill from any number into an individual Timeline
// The playbook

From install to insight in four moves

A proven rollout sequence using real Momentum modules — agents, machine approval, department app rules, and the dashboard.

01
Deploy to every dev machine

Agents cover Windows, macOS, and Linux — the whole polyglot fleet. Approve dev machines in the Machines module; use auto-approval for a fast team-wide rollout.

02
Tune rules for engineering

Override Global App Rules at the Engineering department level: IDEs, terminals, containers, and documentation marked Productive; keep chat Unmarked at first and let the data tell you what it really is.

03
Baseline a normal sprint

Set target productive hours in General settings, then run a full sprint untouched. The Timeline and expected-vs-actual trend give you an honest picture of fragmentation before you change anything.

04
Protect focus and re-measure

Introduce protected focus blocks, then compare avg productive time and the productivity-score trend on the dashboard sprint over sprint — keep what moves the line, drop what doesn't.

// How Momentum helps

A clearer picture for software development

Momentum brings the signals that matter into one fair, real-time view — so leaders can act on evidence and teams can trust the numbers.

momentum · software development · timelineLIVE
+23%
Shipped output
2h
Protected focus / day
−31%
Context switches
today · workday timeline
9:00■ active■ idle18:00
82%
prod. score
Deep-work measurement for engineers
Meeting-load and interruption analysis
Dev-tool app categories out of the box
Jira, GitHub, and Slack integrations
// After the 30-day baseline

Momentum never asks you to judge on day one. Collect a month of Timeline data, then set targets from your own expected-vs-actual trend — and watch it move.

+30d
baseline → lift
// Questions

Software development teams usually ask

Will terminals, local VMs, and offline tools count as work?+

Yes. The agent tracks App Usage including offline applications, and department rules let you mark any engineering tool Productive — so a day deep in a terminal scores like the real work it is.

Does Momentum capture what engineers type?+

No content is captured. Input Statistics record activity volume — clicks and keystrokes, overall and per app — which distinguishes active work from idle time without reading a single line of code.

Can team leads see the data without opening it to everyone?+

Yes. Team leads see analytics for their own team only, and each engineer sees only their own Timeline and score — nothing is broadcast to peers.

Is the agent going to slow down builds?+

The agent is deliberately lightweight, and the Resource Usage module shows its CPU and memory footprint per device — so you can verify the overhead on your own fleet instead of taking our word.

See Momentum for software development

Book a 30-minute demo tailored to how your team works.

Book a demo Read customer stories