Make engineering clear to the business.
Build reliable operational data, understand what your teams are doing, and see how engineering effort connects to 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
—Trusted by engineering teams at
The problem
Engineering updates shouldn’t take hours to assemble or still leave the business guessing.
The evidence is usually scattered across project, code, collaboration, and calendar tools. When the underlying data is incomplete, every report inherits the gaps.
Scattered
Engineering work lives across project management, spreadsheets, code, chat, and calendar tools.
Incomplete
Missing estimates, unlinked initiatives, and stale statuses distort the story.
Manual
Managers spend hours assembling updates that are already out of date. And AI tool usage alone still can’t prove productivity.
How Kindor works
From better engineering data to business-ready answers.
Kindor improves the information behind the work, explains what is happening, and connects engineering effort to priorities and labor cost.
- 01
Reliable data
Find gaps and improve the completeness and usefulness of your engineering data.
- 02
Clear answers
Receive reports that explain what happened without assembling another update by hand.
- 03
Business alignment
See where engineering is investing its effort and how the work connects to declared priorities.
- 04
Engineering economics
Understand how engineering labor is allocated across initiatives and types of work.
Data comes to you
The answers that matter, delivered before someone asks for another report.
Kindor brings relevant insights to Slack and email, explains what changed, and lets you ask Winston for the context behind the numbers. Dashboards remain available when you need to investigate 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
Alignment and economics
See where engineering is investing and explain it in business terms.
Connect work to initiatives and declared priorities, then understand how engineering labor is distributed across them.
Business alignment
See how effort maps to the priorities you declared.
Understand which initiatives are consuming capacity, what remains unlinked, and how to explain progress to non-technical stakeholders.
Effort by business priority · last 30 days
Engineering economics
Understand how engineering labor is allocated.
See labor cost by initiative and type of work, support software capitalization, and build projections from the data available.
Engineering labor by type of work
All priorities
- New features54%
- Maintenance21%
- Unplanned15%
- Tech debt10%
Grow checkout conversion
- New features63%
- Maintenance14%
- Unplanned15%
- Tech debt8%
Reduce support load
- New features41%
- Maintenance32%
- Unplanned9%
- Tech debt18%
Not linked to a priority
- New features18%
- Maintenance41%
- Unplanned22%
- Tech debt19%
AI adoption
Move the AI productivity conversation from assumptions to evidence.
See how teams are adopting AI coding tools and compare adoption with available activity, delivery, and cost signals over time. Usage is evidence of adoption—not proof of productivity or business impact.
When leadership asks whether the AI investment is paying off, start with evidence, not usage alone.
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.
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
More than software when you need it.
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
Kindor AI Academy
Practical, live courses to use AI for real work.
Learn to automate your work and build your own solutions with guided practice and solid technical foundations.
Live courses in Spanish.
Live cohort · Taught in Spanish
Master AI, not just one tool
You leave with a reusable AI workflow applied to your own work.
Live cohort · Taught in Spanish
Build software with AI, the right way
You leave with an app that is versioned, tested, and published.
Live cohort · Taught in Spanish
Master coding agents
You leave with context, skills, and an automation applied to your own repository.
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.