Your team reports wins, but can you trust the numbers?
Whether it's product experiments or conversion rate optimisation, Observatory connects to your existing tools and reveals the governance reality your dashboards hide.
No migration. No workflow changes. Just truth.
Time To Deliver Your Report
Changes to existing workflows
Governance Failures Found
Every governance violation represents a decision made on unreliable evidence. When experiments lack rigour, the business consequences compound silently until they become visible in the numbers that matter
Most experimentation programmes optimise for velocity and win rates. But speed without governance just means making wrong decisions faster.
A 30% win rate with solid governance beats an 80% win rate built on compromised methodology
Optimizely, VWO, and AB Tasty are excellent for running tests. Airtable and Jira are great for tracking work. But none of them can enforce scientific rigour or detect when results have been manipulated. That is not their job. It is ours.
Observatory connects via API to your team's existing tracking tools. We do not ask them to change anything. We simply watch and report.
Whether you're running product feature flags or landing page tests, these violations undermine the scientific validity of your experiments and the reliability of decisions made from them
No predefined criteria for what constitutes success, allowing arbitrary interpretation of results.
Tests declared winners without statistical significance. CRO test stopped after 3 days because it was "clearly winning". Revenue impact claimed from 80% confidence results.
Bulk documentation added long after experiments completed, indicating post-hoc rationalisation rather than genuine planning.
Experiments running without documented predictions, making it impossible to validate results against expectations.
Hypothesis edited or created after the experiment went live. Classic p-hacking that invalidates statistical significance.
Primary success metric changed mid-test. Landing page optimised for clicks suddenly measured by form completions. Product experiment switches from retention to engagement.
01
Grant read-only API access to your testing platforms and tracking tools. We support Optimizely, VWO, AB Tasty, LaunchDarkly, plus Airtable, Jira, and Notion.
02
Tell us which fields contain your hypothesis, primary metric, status, and other governance-critical data. We handle the rest.
03
Get a comprehensive governance analysis showing exactly where your experimentation programme is vulnerable and what is at risk.
Start with a point-in-time analysis or invest in ongoing monitoring to catch violations as they happens.
Historical Analysis. One-time governance audit of your experimentation programme. Delivered within 1 hour.
Ongoing Governance. Continuous monitoring with real-time violation detection
That is your decision. Many executives keep Observatory at leadership level initially to get an unbiased baseline. Others share access with team leads to create accountability. The team being monitored does not need dashboard access for monitoring to work.
Connect them all. Marketing on Airtable, Product on Jira, Growth on ClickUp. Observatory consolidates everything into a single governance view across your entire experimentation portfolio.
We reconstruct timelines from audit logs and modification history. Some tools have better records than others. The Analysis report clearly indicates confidence levels for each finding.
You have two paths. Continue with Observatory to monitor ongoing governance, or move to the full Efestra platform to prevent violations from occurring in the first place. We can help you build the business case for either.
Observatory requires read-only API access only. We never modify your data. All connections are encrypted, and we can operate within your security requirements including SSO and IP restrictions.
The Analysis tier gives you the snapshot without any ongoing commitment. Use it to build awareness and internal support before investing in continuous monitoring or the full platform.