Two different approaches to engineering leadership. One measures what teams do. The other coaches teams to do it better. Understand the difference — and which one is right for you.
Both platforms sit above your existing tools — Jira, Azure DevOps, GitHub, Slack. But they answer different questions.
A reporting and metrics platform. Shows you DORA metrics, sprint velocity, deployment frequency, lead time, and change failure rate. Answers the question: "What did we deliver, and how fast?"
An intelligence and coaching platform. Turns metrics into coaching actions, surfaces team health signals, and forecasts delivery risk. Answers the question: "Why are we delivering at this pace, and what will make us faster?"
A detailed breakdown of what each platform does — and where they overlap.
| Capability | Performalise | Agile Analytics |
|---|---|---|
| AI Coaching (always-on) | ✓ | — |
| Sprint Analytics & Metrics | ✓ | ✓ |
| DORA Metrics | ✓ | ✓ |
| Team Health & Psychological Safety | ✓ | — |
| Product Discovery Pipeline | ✓ | — |
| Value Intelligence (RICE, OKR) | ✓ | — |
| Executive Portfolio View | ✓ | Limited |
| Continuous Improvement Engine | ✓ | — |
| AI-Guided Retrospectives | ✓ | — |
| Delivery Predictability Forecasting | ✓ | Sprint-level |
| Peer Recognition (Kudos) | ✓ | — |
| Deep DevOps Integration (CI/CD, GitHub, monitoring) | Moderate | ✓ |
Each platform solves real problems. The question isn't which is better — it's which solves your problem.
Real outcomes from real teams using the platform
More successful sprints
Stakeholder satisfaction growth
Team improvement ideas generated
Sprint-over-sprint improvement
Agile Analytics measures engineering metrics across sprints. Performalise turns those metrics into coaching actions, team health signals, and delivery intelligence. Think of it this way: Agile Analytics is a reporting layer that shows what happened; Performalise is an intelligence layer that tells your teams what to do differently. One answers "What did we deliver?" The other answers "Why did we deliver at that pace, and what changes will make us faster?"
Yes. Performalise tracks deployment frequency, lead time for changes, mean time to recovery, and change failure rate. The key difference: we contextualise those metrics with team health, psychological safety, product discovery maturity, and continuous improvement signals. Plus, Albert AI surfaces anomalies and coaches teams on how to improve. Agile Analytics focuses exclusively on the metrics themselves.
Performalise is purpose-built for agile coaches. Albert AI surfaces team health anomalies, prepares Agile Event briefs with sprint-level context, and enables coaches to scale from supporting six teams to twelve or more — without losing coaching quality. Agile Analytics is designed for engineering managers and delivery leads who need deep technical metrics and deployment data.
Yes. Many organisations use Agile Analytics for deep deployment and CI/CD metrics, and Performalise for team coaching, delivery intelligence, and portfolio visibility. They solve different problems for different stakeholders: engineering teams use one, leadership teams use the other. The combination gives you complete coverage.
Both platforms use per-team or per-user pricing models. Performalise pricing starts at $400/month (Perform tier) and $600/month (Scale tier) for annual commitment. Agile Analytics uses a per-team model. We recommend requesting a demo to compare total cost of ownership for your specific team structure and usage.
Book a personalised demo with our team. We'll walk through your specific challenges and show you exactly what each platform can do for your teams.