Beyond The Alignment

Your dashboards show counts. Not causes.

GitHub shows open issues. Jira shows cycle time. BTA shows the friction underneath—the patterns slowing your delivery and the tipping point before you hit it.

No source code required · Free beta · Self-hosted for private repos coming soon

01 / The Problem

Everything looks fine. That's the problem.

You have 547 open issues. Median cycle time is 4.2 days. Velocity looks stable. But underneath:

23% $300K–$500K

Zombie Tickets

Open 200+ days, “blocked” as the dominant theme. Work that started but never finished.

3x $1M–$4M/yr

Integration Tax

Same concept in 3 backlogs, labeled differently. Cross-team “waiting” patterns that compound.

34% $1M–$3M/yr

Rework Hotspots

34% of commits touch 8% of modules. The same files, over and over.

2 $500K–$2M risk

Knowledge Cliffs

Critical context in 2 engineers’ heads. One departure stalls an entire product area.

Everyone calls it “technical debt.” No one measures it. Your tools can't show you this. We can.

02 / How It Works

Semantic analysis. Dollar-denominated.

We analyze your tickets, issues, and repos at the language level—surfacing patterns that native tools miss.

Step 1

Surface the patterns

Topic modeling, time-decay analysis, and keyword patterns reveal hidden clusters—where work stalls, where teams talk past each other, and when maintenance overtakes innovation.

Step 2

Interpret the friction

Those patterns have names: zombie features, integration tax, semantic drift, knowledge cliffs, innovation tax. Each one has a cost.

Step 3

Quantify and prioritize

We translate patterns into dollars and show you the tipping point—when friction becomes crisis. Every finding is prioritized by ROI.

You know what to fix first. And you can defend every number.

03 / The Innovation Tax

Quantify what everyone calls “technical debt”

The pattern is universal. The question is when you measure it.

Phase 1

Feature teams ship fast

Velocity is high. The ratio favors innovation.

Phase 2

Maintenance load grows

Every feature shipped is now code to maintain. The ratio starts to climb.

Phase 3

Platform lags behind

Infrastructure tickets pile up. Feature teams are blocked. The tipping point approaches.

Phase 4

The tipping point

Maintenance exceeds innovation. Reorgs. Rewrites. Crisis. By then it's too late.

A $15K diagnostic now. Or millions in crisis-mode remediation later. We measure the tax ratio, velocity decay, and tipping point—so you catch it before Phase 4.

04 / Why BTA

Not another dashboard.

We analyze at the semantic layer—the language teams use, the patterns in tickets, the themes that persist across months. That's the layer your tools can't see.

GitHub Insights → shows you metrics

BTA → shows you meaning

Jira reports → show what's open

BTA → shows why it's stuck

DevEx tools → measure velocity

BTA → measures friction

Other tools → tell you delivery slowed

BTA → tells you why, what it costs, and when it tips into crisis

U.S. Patent 12,106,240 B2. This isn't a feature Atlassian forgot to build. It's a fundamentally different way of looking at engineering productivity.

05 / Get Started

See your friction in 48 hours.

No surveys. No interviews. Just patterns your tools miss.

48-Hour Diagnostic

$15K

Full structural assessment with dollar-denominated findings and tipping point analysis.

Ongoing Monitoring

Retainer

Continuous measurement and guided remediation. Catch emerging friction before it compounds.

Self-Serve Platform

Beta

Run your repos through the analysis platform. See your Innovation Tax score and friction profile.

Self-hosted option coming soon — private repos, your infrastructure.

Try It Yourself

$14.8M

friction identified in a 340-engineer org

8.5x

ROI on a $15K diagnostic

Patent

U.S. Patent 12,106,240 B2