A company launches Maisy inside Teams. Employees ask questions, Copilot Studio retrieves answers from SharePoint and permissions work. Then leadership asks whether the knowledge hub is actually improving the business. Usage alone does not prove value.
Start with a Baseline
Pixeldust measures search time, repeated manager questions, onboarding support, outdated documents, failed searches, rework and key-person dependency before launch. Without a baseline, every improvement claim becomes marketing fog with a dashboard attached.
Maisy Tracks Employee Questions
Useful measures include total questions, department, repeated themes, cited answers, unanswered questions, escalations and questions linked to outdated or conflicting sources. These patterns reveal where SharePoint content needs improvement.
Measure Answer Quality
Maisy can score accuracy, source authority, citation quality, permission safety, completeness, clarity, escalation behavior and response time. The knowledge-hub testing process explains realistic question and role-based testing.
Track Failed Questions and Gaps
A failed answer may reveal missing documentation, conflicting procedures, weak structure, incorrect permissions, expired content or unclear ownership. Power Automate can route the issue into a correction workflow.
Measure Operational Results
Compare manager interruptions, search time, onboarding time, first-90-day errors and ability to locate approved procedures before and after launch.
Measure Knowledge Health
Track published sources with owners, current review dates, overdue reviews, active superseded documents, permission exceptions, unresolved conflicts and high-priority processes documented. The Practical Knowledge Governance Model supports these controls.
Maisy Measures Operational Improvement
Maisy helps businesses retain institutional knowledge by making critical information easier to find and maintain. It also helps retain institutional knowledge by exposing exactly where the system remains weak.
