Make engineering clear to the business.
Kindor improves the data behind engineering work, turns it into clear answers, and connects execution with business priorities and cost.
Portfolio / Priorities
Last 30 days ▾Strategic alignment
Effort linked to a priority
85%
+6 pts vs prev. period
Unplanned work
Effort not planned
21%
+9 pts vs prev. period
Capitalizable work
Share of engineering labor
48%
+2 pts vs prev. period
Epics delivered
247 PRs merged
8
+3 vs prev. period
Priorities
By effort this period
Grow checkout conversion
Q4 2026On track
Reduce support load
Q4 2026Behind
Not linked to a priority
—Where visibility breaks
Dashboards can’t fix incomplete data.
The information exists, but it is spread across tools and often incomplete or out of date. Visibility ends up depending on someone compiling reports by hand.
Better data
Better insights begin with better data.
Kindor continuously improves the completeness and usefulness of your engineering data, right where the work happens.
Answers: Can we trust what our reports say?
- Connects the tools where work already happens.
- Identifies incomplete or inconsistent information.
- Notifies people when relevant context is missing.
- Encourages better data hygiene without changing your processes.
Data completeness · Payments team
Work items with the context reports need
Last 4 weeks
Gaps fixed by the team · Last 4 weeks
- Missing estimates14/17
- PRs without an initiative9/11
- Stale statuses6/7
Data comes to you
Receive insights before you know what to ask.
Reports first. Conversation next. Dashboards when you need the detail.
Wednesday · 9:00 AM · Slack
payments-leads
Kindor APP 9:00 AM
3 epics in “Checkout v2” have no estimate. Add them before Friday’s report.
Daily action · 3 items
- ✓Link PR #3412 to an initiative
- Estimate 3 epics in Checkout v2
- Update the status of the Checkout v2 epic
Friday · 9:00 AM · Slack and email
Weekly report · Payments team
62% of effort went to the Q4 checkout initiative.
Work type distribution
- Feature development52%
- Unplanned21%
- Maintenance17%
- Tech debt10%
Needs attention
- Unplanned work is 9 points above its 4-week average.
- 3 epics still have no estimate.
Friday · 9:14 AM · Winston
Ask Winston
Why did unplanned work go up?
Two P1 incidents on Nov 3–4 pulled three engineers off checkout for four days.
Sources
- INC-482 · P1
- INC-489 · P1
- Checkout v2 · Jira
Friday · 9:20 AM · Dashboard
Unplanned work by team and day
- Incidents
- Bugs
- Support
Business alignment
See where engineering invests its effort and how it connects to business priorities.
Initiatives connected to goals, effort and capacity by priority, and context to explain progress to non-technical stakeholders.
Answers: Are we working on what the business said matters?
- Initiatives linked to business goals.
- Effort and capacity distribution.
- Work by type, initiative, team or priority.
- Executive dashboards for leadership conversations.
Effort by business priority · last 30 days
Engineering economics
Understand how engineering labor is allocated across initiatives, priorities and types of work.
Financial visibility into the engineering labor behind your initiatives.
Answers: What is this initiative costing us, and how much of it is capitalizable?
- Cost by initiative.
- Cost by type of work.
- Software capitalization.
- Projections based on available data.
Engineering labor by type of work
All priorities
- New features54%
- Maintenance21%
- Unplanned15%
- Tech debt10%
Engineering labor · Checkout v2
Monthly labor cost, with projection to the end of Q4
- Labor cost ($k)
- Capitalizable
- Projection
Calculations are based on engineering labor cost allocated to observed activity.
AI adoption
Move the AI productivity conversation from assumptions to evidence.
See how teams adopt AI coding tools and how adoption relates to activity, delivery and cost signals over time.
Answers: Is our AI investment changing how we work?
- Adoption by team and over time.
- Usage patterns available from each tool.
- Claude Code today; Codex and Cursor in beta.
AI coding tool adoption by team
Share of engineers using a tool each week
- Claude Code
- Codex
- Cursor
High vs. low adoption teams
- High adoption
- Low adoption
Correlation, not causation. Compare signals, then investigate the context.
- AI usage is not productivity.
- Productivity is not business impact.
- Correlation is not causation.
Delivery metrics
The detail, when you need it.
Engineering metrics translated into terms anyone can follow. A supporting layer, not the headline.
Delivery · Payments team
Deployment frequency
HighProduction deployments
3.5per week
vs previous period+0.2Prev: 3.3Lead time for changes
EliteCommit to production (P50)
12hours
vs previous period−3hPrev: 15hChange failure rate
HighIncidents ÷ deployments
4.4%
vs previous period+2.1ppPrev: 2.3%Time to restore
HighIncident in progress → resolved
9hours (P50)
vs previous period+4hPrev: 5h
Work type distribution
- Feature development52%
- Unplanned21%
- Maintenance17%
- Tech debt10%
DORA metrics
Deployment frequency, lead time, change failure rate and recovery time.
Flow and activity
Throughput, cycle time and PR activity by team.
Work type distribution
Features, maintenance, unplanned work and tech debt.
Capacity and workload
How work is distributed across contributors, with full context.
Works with the tools your teams already use
Bring together signals from project management, code, collaboration, and AI coding tools without replacing the systems where work already happens.
Code
- GitHub
- GitLab
- Bitbucket
Project and service management
- Jira
- Jira Service Management
- Notion
Collaboration and directory
- Slack
- Microsoft Teams
- Google Workspace
AI coding
- Claude Code
- CodexBeta
- CursorBeta
Implementation and professional services.
Our team can configure Kindor around your organization, improve the quality of your operational data, and help your teams adopt better measurement practices.
- Connect your tools
- Assess your data
- Configure Kindor
- Improve over time
Make your next engineering update the clearest one yet.
See how Kindor can turn the data you already have into answers your business can use.