Turn software data into better decisions.
Insights is CreateLixir's intelligent analytics platform — the layer that turns activity from across the workspace into recommendations, trends, and actionable intelligence. It doesn't just show you what happened. It helps you understand what to do next.
AI-powered recommendations · Portfolio-level analytics · Ranked by likely impact
Not another dashboard.
The layer that helps you decide.
Insights is CreateLixir's intelligent analytics platform — it collects information from every stage of software creation and transforms it into meaningful recommendations.
Traditional dashboards give you numbers and ask you to figure out what they mean. Insights closes that gap. It reads across your project — code, tests, deploys, telemetry, collaboration — notices patterns, ranks them by likely impact, and drafts recommendations your team can act on.
Because it's built on Project Brain, every recommendation reflects what your project actually is — its architecture, its past decisions, its history. The advice is grounded, not generic.
Data is easy.
Understanding data is hard.
Insights is designed for the gap between having data and knowing what to do with it — the gap most teams live inside every quarter.
Too much data
Every tool produces its own metrics. The result is more numbers than any team can meaningfully act on.
Too many dashboards
Alt-tab between five analytics tools and still miss the pattern. Nobody has time to correlate by hand.
Difficult decision making
Numbers without context don't help you decide. You need to know which signals matter, why, and what to do about them.
Hidden performance issues
The regressions that hurt most are the ones that never crossed an alert threshold — the slow drift that reshapes the product.
Lack of project visibility
Leaders can't answer basic questions about how work is flowing because the data lives in five places at three levels of aggregation.
Long-term trends
Weekly wins look different at the monthly and quarterly level. Insights that only look one week back miss the story.
Every signal your project produces,
read as one story.
Insights collects across the whole platform — development, deployment, monitoring, collaboration — and reads them together so patterns nobody single tool can see become obvious.
Project activity
Commits, reviews, discussions, decisions — the flow of work across your workspace.
Development progress
Features shipped, milestones cleared, and how the roadmap actually moves week over week.
Team collaboration
Reviews, mentorship, cross-team handoffs — the qualitative signals leadership usually can't see.
Deployment trends
Release cadence, bad-deploy rate, MTTR, and how the deploy story is shifting over time.
Software quality
Coverage trends, flakiness, regression rate, and where quality is quietly decaying.
AI usage
Where the team leans on AI, how often the suggestions land, and where the assistants earn their keep.
Productivity
Focus time, review turnaround, and the friction points that quietly drain velocity.
Performance
Latency, throughput, and error-rate trends read against user impact — not raw magnitude.
Growth
Usage, adoption, and engagement trends alongside the engineering signals that drive them.
Project health
A composite score that tells you if the project is fine — before you look at any single metric.
An intelligent
engineering advisor.
AI in Insights reads your project the way a senior engineer would — looking across signals, weighing likely impact, and offering the recommendation you'd want to hear.
Identify patterns
The correlations no single dashboard catches — surfaced automatically as they emerge.
Detect trends
Slow drifts across weeks that reshape a product before anyone notices. Called out early.
Recommend improvements
Not just what's wrong — a concrete proposal for how to fix it, ready to open in the workspace.
Summarise activity
A weekly one-paragraph read of everything that changed, ready to share with leadership.
Highlight risks
Growing test flakiness, over-concentrated ownership, deployment cadence slowing — surfaced before they compound.
Discover bottlenecks
The review queue that always gets stuck. The stage that always slips. Named, ranked, and actionable.
Suggest optimisations
Where velocity leaks. Where quality decays. Where the AI can help most next.
Predict outcomes
Based on current signals, what next month looks like — with the levers you'd pull to change it.
Explorable, editorial,
easy to share.
Dashboards designed to be read, not just displayed. Interactive by default, editorial in tone, and effortless to share with the rest of the team.
Interactive charts
Zoom, filter, and drill down — dashboards designed to be explored, not just glanced at.
Progress timelines
Roadmap milestones tracked against reality, week over week.
Activity feeds
A chronological read of everything meaningful, filterable by team, project, or signal.
Health indicators
Composite scores that answer 'is this fine?' before you look at any single metric.
Custom widgets
Compose your own dashboards from the same primitives Insights uses internally.
Historical trends
Weekly, monthly, and quarterly views — the same signal at every altitude.
Team analytics
Collaboration signals at the team level, ready for leads and 1:1s.
AI summaries
A one-paragraph AI read of the current view, ready to share with leadership.
The questions leaders ask,
answered with real intelligence.
Insights is designed to answer the questions engineering teams actually have — the ones that shape priorities, not the ones that fill status meetings.
What should we improve next?
Where are development bottlenecks?
Which features require attention?
How is project velocity changing?
What trends are emerging?
What should we prioritise?
Every part of CreateLixir
contributes to intelligence.
Insights isn't a separate analytics tool. It's the layer that reads every other product's signals and turns them into decisions.
Project Brain
The long-term memory Insights reads from — architecture, decisions, and history make every recommendation grounded.
AI Architect
Structural signals from Insights become concrete architectural proposals in the Architect.
Code Studio
Every recommendation links back to the exact code path it applies to.
Testing Center
Quality trends — coverage drift, flakiness, regression rate — feed the recommendations Insights ranks first.
Deployment Center
Release cadence, bad-deploy rate, and MTTR are first-class signals in every project view.
Monitoring Center
Runtime signals — latency, errors, resource usage — inform which recommendations matter most to users.
Organizations
Portfolio and org-wide dashboards aggregate every project's intelligence into one leadership view.
The difference,
by decisions made better.
Practical benefits — clearer priorities, earlier problem detection, and a feedback loop that turns production behaviour into product improvements.
Better decision making
The signals that actually shape priorities, ranked and explained.
AI-powered recommendations
Concrete, project-grounded advice — not generic engineering patterns.
Complete visibility
One workspace for every signal every product produces.
Faster problem discovery
Anomalies, risks, and bottlenecks surfaced before they cost a quarter.
Improved productivity
Friction points named. Interventions ranked. Time returned to the interesting work.
Smarter planning
Roadmap decisions grounded in what shipped, not what was estimated.
Actionable intelligence
Every recommendation ends with 'here's the next step' — nothing left hanging.
Continuous improvement
The workspace teaches itself. Insights compound, cycle after cycle.
Where Insights
is heading next.
Directions the platform is building toward. Not shipping today — the trajectory that shapes every decision inside Insights.
Predictive project analytics
What next quarter looks like, based on the shape of the work you're doing now.
FutureAI roadmap recommendations
Prioritisation drafted from real signals — quality, risk, growth — reviewed by leadership.
FutureEngineering health scores
A single number that means what you think it does — grounded in signals that actually correlate.
FutureOrganization-wide intelligence
Every team's project rolled into one leadership view of engineering as a whole.
FuturePortfolio analytics
Multi-product orgs get comparable, roll-up intelligence across every project.
FutureAutomated executive summaries
Weekly reads written for leadership from the same primitives engineering dashboards use.
FutureCross-project insights
Patterns that only appear when you look across three projects at once.
FutureBusiness intelligence dashboards
Revenue, adoption, and engagement alongside engineering signals — one workspace.
Future
The questions teams ask
before they trust an analytics tool.
Adopting a new analytics platform is a serious decision. These are the questions we hear most often.
- Insights is CreateLixir's intelligent analytics platform. It collects information from every stage of software creation — code, tests, deploys, telemetry, collaboration — and transforms it into meaningful recommendations, so teams understand their projects beyond raw metrics.
Insights works with every part of CreateLixir.
Insights is the intelligence surface. These are the products it reads from, informs, and turns into recommendations.
Monitoring Center
Realtime signals from production that feed Insights' long-term trends.
Deployment Center
Release cadence, bad-deploy rate, and MTTR are first-class signals here.
Project Brain
The memory the AI reads from when explaining trends and drafting recommendations.
AI Architect
Structural signals from Insights become concrete architectural proposals.
Organizations
Portfolio dashboards aggregate every team's intelligence into one leadership view.
Goals
Progress tracked against real signals — not against the last sprint's estimates.
Successful teams don't just collect data.
They understand it.
Turn information into better decisions, better products, and continuous improvement — with an intelligence layer that reads your project the way a senior engineer would.