For VPs of Engineering

Your Engineering Org,
on Autopilot

Stop spending 6+ hours a week on status. Takt's AI agents surface blockers before standups, diagnose what's actually behind your DORA numbers, and optimize sprint capacity before you commit.

See Takt in Action → Calculate Your ROI

$99/mo starting price

<24h setup from GitHub connect

Zero process changes required

DORA-ready out of the box

The Real Problems

What's eating your week

Every VP of Engineering hits the same three drags. Here's what Takt does about each one.

6h+

Per week in status meetings

Daily standups, sprint reviews, escalation calls. You're the most expensive sync point in your org — and most of what you hear could've been an automated summary.

✓ AI-automated standups with blocker detection. Takt reads GitHub activity and surfaces real blockers in Slack before standup — so meetings become decisions, not status updates.

DORA

Looks fine. Delivery is still unpredictable.

Deployment frequency is up. Lead time is down. But 40% of your quarters still miss. DORA tells you what happened — not why, and not what to do about it.

✓ Root cause analysis behind the numbers. Takt correlates PR review patterns, issue aging, and team load to surface the actual bottleneck — not just the metric that's red.

60%

Sprint estimates are wrong

Planning takes 2 hours, estimates slip by Wednesday, and the post-mortem always lands on "scope creep" — masking the real problem: no capacity model that works.

✓ AI-driven capacity allocation. Takt maps velocity history, infra load, and PR review bandwidth to suggest realistic sprint capacity — before you commit to the roadmap.

Return on Investment

What a 20-person eng team saves

Run the full calculation at /tools/cost-calculator. Here's the breakdown for a typical team.

$347K

estimated annual savings for a 20-person engineering team

Calculate for your team →

Status meeting overhead
20 eng × $180K avg × 15% time in meetings ~$198K

Sprint slip cost
avg 18% velocity loss × 20 engineers ~$97K

Incident triage overhead
4h/wk VP + 2h/eng × 4 on-call engineers ~$52K

Takt cost
20 seats × $99/mo $1,188/yr

How We Compare

Takt vs the other tools in your stack

Full deep-dives available below. Quick summary for VPs evaluating the engineering analytics space.

What you care about	Takt ✓	LinearB	Swarmia	Jellyfish
AI-automated standup summaries	Yes — GitHub-native	No	No	No
Root cause analysis (not just metrics)	Yes — AI agents investigate	Metrics only	Metrics only	Limited
Sprint capacity recommendations	Yes — velocity-based AI	Manual planning	Basic velocity	No
Prescriptive guidance (what to do next)	Yes — actionable output	No	No	No
Developer-first (zero workflow changes)	Yes — reads GitHub silently	Config overhead	Yes	Integration overhead
Pricing (starting)	$99/mo	$500+/mo	$400+/mo	$800+/mo

Full comparison: Takt vs LinearB → Full comparison: Takt vs Swarmia → Full comparison: Takt vs Jellyfish →

Ready to reclaim your week?

See Takt Running on Real Engineering Data

Connect your GitHub. Takt analyzes your PRs, issues, and sprint history in <24h — no config, no process changes, no meetings about the meeting software.