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Your "free" dashboards are costing you more than you think

GitHub analytics. Jira velocity charts. Looker boards. Spreadsheets. They feel free because you already pay for the tools. But the engineering time to build and maintain them? That’s the real cost.

8-20 hrs

Monthly maintenance for DIY dashboards

$0

Maintenance with Insights

15 min

From zero to full intelligence

One platform instead of five band-aids.

github
jira
looker
spreadsheet

Replaces

GitHub/GitLab built-in analytics

Basic repo activity → Full DORA metrics, cross-repo intelligence, AI impact tracking, and code quality analysis regardless of your Git host.

Replaces

Jira velocity reports

Story points completed → What actually happened in the code. Where bottlenecks formed. Which teams carry tech debt. Whether AI tools help or hurt.

AI replaces

Looker/Grafana/Tableau boards

Manually maintained dashboards → Auto-configured metrics that improve over time without your engineering team touching them.

Replaces

Spreadsheet reporting

Hours preparing leadership decks → Automated visibility with historical trends, benchmarks, and drill-down capability. Always current.

Feature comparison

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Capability GitKraken Insights DIY (GitHub/GitLab/Jira)
Setup time
15 minutes
Weeks to months of eng effort
Ongoing maintenance
Zero (managed)
8-20+ hours/month
DORA metrics (all four)
✓ Automated
✗ Manual or partial
AI impact measurement
✓ Native
✗ Not available
Code quality / tech debt
✓ Deep analysis
✗ Not available
Cross-tool correlation
✓ Unified view
✗ Siloed
External benchmarks
✓ Industry benchmarks
✗ Not available
Developer sentiment
✓ Voice of the Developer
✗ Not available
Alerting & notifications
✓ Configurable
~ If you build it
Scales with team growth
✓ Automatically
✗ More eng work
Total cost (50-person team)
$5,400/year
$10,200+/year (hidden)
Get a Personal Demo of GitKraken Insights →
Get a Personal Demo of GitKraken Insights
Get a Demo

The real cost of "free" analytics

For a 50-person engineering team:

DIY (GitHub + Jira + Looker)

$10,200+/yr

Senior engineer: ~10 hrs/month maintaining dashboards
~$85/hr fully loaded = $10,200/year in labor
❌ No AI impact measurement (can’t build it)
❌ No external benchmarks (nowhere to get them)
❌ No code quality depth (not in the APIs)
Breaks every time your toolchain changes
Can’t answer “how do we compare to peers?”

GitKraken Insights

$5,400/yr

50 contributors × $9/month = $5,400/year
✅ DORA metrics, PR analytics, code quality — automated
✅ AI impact measurement built in
✅ External benchmarks included
✅ Technical debt and churn tracking
✅ Developer sentiment surveys
Zero engineering maintenance

The problems you can't spreadsheet your way out of

never-ends
silos
no-bench
AI-impact-is-invisible
ownership
without-direction

I’ve rolled my own — it requires so much time to constantly update and maintain.”

Maintenance never ends

API changes. New repos. New CI providers. Every toolchain evolution means more engineering time. It compounds.

Silos, not intelligence

GitHub shows PRs. Jira shows velocity. GitLab shows pipelines. Nobody shows how they connect. You get activity metrics in silos with no correlation.

No benchmarks, no context

Your deployment frequency is 3.2/week. Is that good? DIY dashboards can’t answer that. Without benchmarks, raw numbers create more questions than answers.

We need to understand AI impact. We wanted this taken care of for us.”

AI impact is invisible

You can’t measure AI coding tool ROI from GitHub’s API. There’s no native way to correlate AI usage with productivity or code quality changes.

No one owns it

The engineer who built the dashboard changes teams. The queries break. Nobody knows how the numbers are calculated anymore. It becomes shelfware.

Good insights lead to actions. Right now, this is pretty much invisible to us.”

Data without direction

Even when DIY dashboards work, they show what happened — not what to do about it. No alerts. No trend analysis. No recommendations.

“I’ve rolled my own — it requires so much time to constantly update and tweak and maintain. I’d much rather have something that’s out of the box.”
Engineering Leader
Insights customer (evaluation feedback)
“GitKraken Insights transformed how we understand engineering performance. It pays for itself by helping us optimize development.”
Guido Patanella
CTO Lansweeper

Stop building dashboards. Start building product.

15 minutes to full engineering intelligence. Less than the cost of maintaining what you have now.

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