Premise for
Engineering Leaders
Your dashboards show numbers. Premise shows you what those numbers mean - which teams are at risk, which initiatives are slipping, and who's about to burn out.
The problems you know too well
The filtered weekly report
You get a status update that's 3 days old, filtered through 2 layers of management, and missing the one thing that actually matters. The real picture lives in Slack threads and Jira comments you don't have time to read.
Burnout hides in plain sight
Your senior engineer has been carrying 3x the team's workload for 6 weeks. No dashboard flagged it. You find out when they hand in their notice.
Velocity metrics lie
Velocity looks fine. Story points are moving. But 40% of the sprint was scope added mid-sprint, and the initiative that leadership cares about hasn't moved in 3 weeks. The numbers don't tell this story.
Cross-team dependencies are invisible
Your platform team is blocking 3 feature teams. Nobody told you because nobody realized it. The Q2 launch is quietly slipping while everyone's sprint looks "on track."
Strategy disconnected from execution
You set OKRs in January. It's March. You have no idea which OKRs are being actively worked on, which are orphaned, and which are at risk - without spending half a day investigating.
What Premise gives you
The real picture - live
Ask OI "what should I be worried about?" and get a cross-team risk assessment grounded in real data from Jira, Linear, Slack, GitHub, and every other tool your teams use. Not summaries - intelligence with evidence chains and confidence scores.
Proactive risk detection
When an initiative is at risk because a dependency team is overcommitted, Premise fires a P0 alert - with the full impact chain. Blocked ticket → at-risk epic → slipping initiative → threatened OKR. You see it the moment it happens, not at the quarterly review.
Burnout signals before resignations
OI monitors workload distribution across your teams. When someone hits 3x the team average, you get an alert - with the specific tickets, the timeline of the increase, and a suggested action. Prevention, not reaction.
Strategy-to-execution alignment
Every ticket is traced to the initiative and OKR it supports. "How is the Q2 platform initiative doing?" gets you a real answer in seconds - which teams are contributing, what's blocked, what's on track, what's off-rail.
Cross-department impact visibility
When your engineering blocker threatens a Salesforce deal or a Zendesk escalation is caused by a feature gap, Premise connects the dots across departments. Engineering doesn't exist in a vacuum - OI models the full organizational impact.
Auto-resolution tracking
When a risk is mitigated - a blocker is cleared, a PR is merged, a dependency is resolved - Premise detects the change via webhook and auto-closes the risk. No manual follow-up required. Your risk dashboard is always current.
Questions you can ask OI
The impact
Morning briefing vs 2 hours manually
Risk alerts the moment blockers appear
Workload imbalance detected automatically
Status meetings needed for visibility
Why not just use Jellyfish or Swarmia?
Engineering analytics tools like Jellyfish and Swarmia measure engineering performance - cycle time, DORA metrics, allocation. Valuable, but limited:
- - They don't trace engineering work to business impact (sales deals, support tickets, strategic OKRs)
- - They don't proactively detect risks and fire alerts
- - They don't model cross-department causality
- - They don't auto-resolve risks when blockers are cleared
- - They cost $50K+ per year. Premise is free during beta
Premise doesn't replace engineering analytics - it provides the organizational context that makes those metrics meaningful.
"200 charts. None told me my senior engineer was a single point of failure running on fumes. That's the problem Premise solves - intelligence, not just data."
See the real picture.
Free during beta. 10-minute setup. No enterprise sales process required.
Try Premise