ENGINEERING INTELLIGENCE

Stop Estimating What Your Engineering Organization Is Worth. Start Knowing.

CRED is the intelligence layer that gives technology leaders a real-time view of what their engineering organization is actually producing. Output is measured, capacity is visible, and the signals that predict delivery risk are acted on before they become costs.

ENGINEERING COMMAND CENTER
Live · Updated 2m ago
ENGINEERVEL$/HR8W TREND

A. Chen

Senior SWE

94
$412

M. Torres

Staff SWE

91
$389

R. Patel

SWE II

88
$341

P. Nguyen

Data Engineer

85
$367

S. Kim

Senior SWE

72
$287

T. Osei

Staff Data Eng

66
$271

J. Okafor

SWE II

61
$241

C. Brooks

Frontend Eng

57
$228

ACTIVE RISKS

Payment service p99 latency spike

Revenue-blocking

Capacity concentration: 2 engineers hold 67% of critical path

Delivery risk

Flaky E2E test suite: 12 tests quarantined

Dev velocity

Sprint velocity down 22%, 4th consecutive week

Delivery risk

On-call rotation: 1 engineer covering 3 critical services

Burnout risk

THE PROBLEM

Engineering is the most expensive function. It is also the least measured.

CTOs and engineering leaders make resourcing decisions, roadmap commitments, and hiring calls based on sprint velocity proxies, subjective performance cycles, and capacity estimates that are weeks out of date by the time they reach a planning meeting.

The signals that actually predict engineering output exist in your systems right now: individual contribution velocity, cross-system productivity patterns, technical debt accumulation, full-stack capability distribution, and dollar-value-per-hour output. They are simply not connected.

"Software developers spend only 32% of their time writing code. The remaining 68% is consumed by meetings, context-switching, reviews, and coordination overhead, none of which appears in a sprint report."

McKinsey & Company, Yes, You Can Measure Software Developer Productivity, 2023

"The average developer spends 17.3 hours per week dealing with maintenance issues and technical debt, more than 40% of the working week."

Stripe, The Developer Coefficient, 2018

SIGNAL TIMELINE: THE GAP BETWEEN VISIBILITY AND COST

Day -90

Dollar Value Efficiency Decline

Cost-per-output rising 18%: cross-team pattern confirmed

Day -60

Capacity Concentration

67% of critical-path output in 2 contributors

Day -30

Velocity Divergence

3 engineers below benchmark for 6 consecutive sprints

TODAY

Missed Roadmap Commitment

Board visibility. Customer impact. Revenue consequence.

The gap between the first CRED signal and the missed commitment is the value proposition.

THE CRED ENGINEERING INTELLIGENCE LAYER

Closing the Output Black Box.

Every engineering organization has an Output Black Box: the gap between what your systems are recording and what leadership can actually see. An undetected signal becomes a delivery miss. A delivery miss becomes a board-level cost.

By the time it is visible, three months of compounding cost have already been paid. CRED closes that gap before the first domino falls.

ENGINEERING INTELLIGENCE SCORE

81/100

6 active signals across 3 dimensions

Derived from GitHub, Jira, Slack, and product signals across five engineering dimensions.

Velocity Trend
Improving
Capacity Risk
Elevated
Debt Accumulation
Increasing

Productivity Intelligence

Individual & team output scored against objective benchmarks

Capacity Visibility

Real-time utilization aligned to roadmap priorities

Dollar Value Output

Every engineering hour measured against business return

Technical Risk Monitoring

Debt and failure signals surfaced before they block delivery

Full-Stack Capability Mapping

Contribution depth by domain, derived from actual work output

CRED doesn't replace your stack: it connects it. GitHub, Jira, Slack, and your product systems unified in days, not months.

WHAT CRED DELIVERS: 01

Engineering Productivity Intelligence

What your engineers are producing, not just what they are doing.

Most engineering productivity measurement stops at PR count and story points. These are activity metrics, not output metrics. CRED connects GitHub, Jira, Slack, and your product data to build a true picture of individual and team contribution, velocity, quality, collaboration depth, and cross-system impact, scored against objective benchmarks derived from your own highest performers.

WHAT CRED SURFACES

Individual velocity trends against role-specific benchmarks, updated continuously

Code quality signals: review turnaround, rework rate, and defect origin patterns

Collaboration depth: cross-team contribution, knowledge transfer behavior, and siloed output risk

Sprint-over-sprint trend lines surfacing performance drift before it becomes a delivery risk

ENGINEER RANKING: PRODUCTIVITY INTELLIGENCE
ENGINEERVELOCITYPRsEFFICIENCY$/HRRICE

A. Chen

94
2397%$41291

M. Torres

91
1993%$38988

R. Patel

88
1789%$34184

S. Kim

72
1174%$28767

J. Okafor

61
863%$24154

THE COMPOUNDING ADVANTAGE

An intelligence engine that gets harder to replicate every quarter.

Every productivity signal CRED captures sharpens the next hiring benchmark. Every capability gap it surfaces improves the next resourcing call. Every $/hr output calculation feeds the output model so the next quarter starts with a more precise picture than the last one ended.

"By 2027, 50% of software engineering organizations will use software engineering intelligence platforms to measure and increase developer productivity, up from just 5% in 2024."

— Gartner, Top Five Strategic Technology Trends in Software Engineering, 2024

That is not a tools advantage. It is an organizational intelligence advantage, one that compounds every quarter.

Connect

GitHub, Jira, Slack unified in days

Score

Every engineer and team benchmarked

Surface

Signals delivered before they become costs

Compound

Intelligence model sharpens every quarter

ENG. INTELLIGENCE SCORE

74

/100

Connect
Score
Surface
Compound
Q1$/hr output baseline established across 100% of engineers
Q3Predictive output accuracy reaches 87%
Year 1Engineering Intelligence Score improves 28 points: gap to top-quartile teams closed

DATA GOVERNANCE & SECURITY

Built for enterprise engineering environments.

Deploying output measurement across an engineering organization requires more than access controls: it requires a system that employees, HR, and legal can all stand behind. All engineering intelligence is processed within your private instance. Individual contributor data, commit history, output scores, and capability assessments are never shared, pooled, or used to train models outside your organization.

No employee sees another employee's data. Every access event is fully audited and exportable. Role-based access ensures engineers see their own performance and coaching. Managers see their direct reports. Leadership sees organizational aggregates.

CRED is designed to be introduced to your organization as a coaching and development tool, because that is what it is.

SOC 2

Independently audited security controls

Full Audit Trails

Every access event logged and exportable

Role-Based Access

Engineers see their own data. Managers see their teams.

Private Instance Only

Your data never leaves your environment

THE BOTTOM LINE

The signals that define your next two quarters are already in your systems.

The question is whether anyone is reading them, or whether you are finding out what they meant after a missed commitment, a surprise resignation, or a board conversation you were not prepared for. CRED makes the signals readable, actionable, and compounding. Before it costs you.

PRODUCT WALKTHROUGH

Ready to See What Your Engineering Organization Is Actually Worth?

30 minutes. Your engineering stack. We'll show your organization scored: live, using your GitHub, your Jira, your data.

EXECUTIVE BRIEFING

Start with an Engineering Intelligence Briefing

45 minutes with our platform architects. Your engineering organization, your stack, your competitive landscape: built around your context.