signal busAll systems operationalScrums.com x Vercel for AI engineering ↗
summaryDORA metrics, throughput, quality, and workflow analytics from your engineering systems. Automated collection, no manual reporting. Scoped sprint.🔒 Sign in for pricing·5.0·available now·vetted by Scrums.com

delivery · CAT-30030746 · rev 1.0|

Engineering Analytics Dashboard. @engineering-analytics-dashboard

Deliverydelivery · outcome-driven-sprints · analytics · engineering-metricsScrums.com● available now
5.0Reviews ▾

Rated 5.0 / 5 by clients on GoodFirms.

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Vetted by Scrums.com Platform

Provider Scrums.com

Last review 2026-08-14

01

What you get

the numbers that matter
Ready in

≈ 2 weeks

signed to first PR

Retention

96%

engagements renewed

Match

96%

to your stack & domain

Create delivery, throughput, reliability, quality, and developer-workflow visibility from your engineering systems, without manual reporting overhead.

02

How this operator works

every way of working, already decided
A · capability focus

Owns the system, not the ticket

Takes end-to-end ownership of a service or surface. Design, delivery, on-call. And is measured on outcomes, not hours.

B · ways of working

Embedded, async-first, instrumented

Works inside your repos, your CI and your rituals. Daily written standups, decisions logged. No status-meeting tax.

C · reliability posture

Runbooks, canaries, reversible deploys

Every change gated and reversible. Incidents get a timeline and a postmortem; nothing ships without a rollback.

D · comms & cadence

Plugged into your Slack & rituals

Joins standups and retros, reports weekly against the goal. You get an operator, not a queue.

E · tooling

Brings a pre-wired stack or adopts yours

Infrastructure and observability as code by default. No bespoke setup tax to absorb.

F · onboarding

Scoped, gated, reversible

Week-1 shadow, week-2 ownership, swap on request inside the trial window. No long-tail handover risk.

·

Overview

Engineering visibility should come from the systems engineers already use, not from status meetings. This package builds an engineering analytics dashboard from your delivery stack: repositories, CI, issue tracking, and incident tools. The finish state is measurement without manual reporting overhead: DORA metrics, throughput, quality, and workflow signals refreshed automatically.

The metric backbone is the DORA set, deployment frequency, lead time, change failure rate, and time to restore, extended with the throughput and quality views your leaders actually ask for. Sources such as GitHub, GitLab, Jira, Jenkins, CircleCI, and PagerDuty are wired in, and every metric's collection logic is documented.

·

What's included

DORA metrics pipeline

Deployment frequency, lead time, change failure rate, and time to restore, collected automatically from your delivery tools.

Throughput and quality views

Cycle time, review flow, defect and escaped-bug trends across teams and services.

Workflow analytics

Where work waits: queues, handoffs, and bottlenecks made visible from real system data.

Zero manual reporting

All collection automated; no engineer fills in a spreadsheet to feed this dashboard.

·

How it works

  1. Scope: confirm tools, teams, and the metric set; agree definitions and acceptance criteria.
  2. Build: connect sources, implement collection and metric logic, and build the dashboard.
  3. Handover: review the first full data cycle with engineering leadership and hand over documentation.
·

Part of every Delivery Plan

The Engineering Analytics Dashboard is a menu item on the Scrums.com delivery catalog, available at every plan tier. Add it to your plan backlog and your delivery team schedules it like any other item — scoped, tracked, and reported through the SEOP. See Delivery Plan Tiers.

·

FAQs

Will this be used to rank individual engineers?

No, and we advise against it. The dashboard measures systems and flow at team and service level. Individual-level surveillance metrics are out of scope by design.

What tools do you need access to?

Read access to your repositories, CI, issue tracker, and incident tooling. Common stacks such as GitHub, GitLab, Jira, Jenkins, CircleCI, and PagerDuty are all supported.

What if we also want runtime observability?

Runtime telemetry is a different layer. The Observability Foundation Sprint covers logs, metrics, and traces for the systems themselves; this package covers the delivery process.

03

What's included

in every engagement · no add-ons
DORA metrics pipelineincl.
Throughput and quality viewsincl.
Workflow analyticsincl.
Zero manual reportingincl.
04

Track record

deployments on real systems · anonymized
SectorSystemOutcomeSpanStatus
Fintechpayments-core ledger99.97% achieved14 mocomplete
Commercecheckout platform−38% incident rate9 mocomplete
Health SaaSdata plane0 SEV1 in 6 mo11 moactive
Logisticsrouting enginezero-downtime cutover7 mocomplete
AI infrainference clusterp99 −120 ms5 moactive
05

Works inside your stack

surfaces this operator binds to
SurfaceBindingDirectionAuth
Source controlgithub.com/<org>reviews + writesOIDC
CI / CDscm-flow · deploy-servicegates deploysOIDC
Observabilityotlp://collector:4317metrics + alertsmTLS
Commsslack://<workspace>standups, incidentsSSO
Secretsvault://scrums/op/<id>short-lived credsSPIFFE
On-callpagerduty://<org>primary / secondaryAPI token
06

Boundaries

what to deploy instead

Scoped to this discipline. For an adjacent capability, compose a second operator into the squad. compose →

Not a fractional advisory engagement. For advisory-only, contact platform@scrums.com.

07

Deployments

the only social proof we publish

402deploys

across 38 organizations

+24 last 30 days · median age 11.4 mo · retention 96%

·

Live telemetry

this operator's system surface
system map
repoci/cddeployon-callserviceobserv
signals · last 24h
deploys18
p99 latency112 ms
error rate0.02%
incidents0
08

Pricing

one number · one footnote
billed monthly

🔒 Sign in for pricing

Available at all Delivery Plan Tiers

All-in: the operator, delivery manager and replacement guarantee. No recruiter fee, no markup surprises.

Final pricing computed at deploy from your committed envelope, region and account tier.

·

FAQ

common questions
How is Engineering Analytics Dashboard priced?+

Pricing is shown to signed-in accounts. Sign in to view the rate; pricing is computed from your engagement scope, region and account tier.

Is Engineering Analytics Dashboard available now?+

Yes. It is published and deployable directly from the Scrums.com catalog.

Can a Engineering Analytics Dashboard deployment be reversed?+

Yes. Deployments are reversible with a one-click swap inside the trial window.

Who provides Engineering Analytics Dashboard?+

Scrums.com, vetted by the Scrums.com platform.

·

How it compares

vs other delivery
OptionFromStackStatus
Engineering Analytics Dashboard · this one🔒 Sign in for pricingdelivery · outcome-driven-sprints · analytics● available
Release Backlog Burn-Down Sprint🔒 Sign in for pricingdelivery · outcome-driven-sprints · backlog● available
Technical Debt Reduction Sprint🔒 Sign in for pricingdelivery · outcome-driven-sprints · technical-debt● available
Critical Application Rescue🔒 Sign in for pricingdelivery · outcome-driven-sprints · rescue● available
09

Commonly deployed with

more delivery