More tools. Less clarity. More manual work than before.
New systems or dashboards are technically live, but day-to-day work still happens in spreadsheets, emails, and side conversations. Reports exist, but teams argue about which numbers are real. Manual effort increases instead of dropping.
Systems were designed around data availability, not decisions. Too many KPIs and alerts dilute attention. Operators weren't meaningfully involved in design. Automation was layered onto unstable or poorly defined processes.
Dashboards become trusted and used. Manual work declines instead of shifting locations. Fewer metrics drive clearer decisions. Systems start supporting execution instead of explaining failure after the fact.
You've already implemented new tools or platforms, but adoption is low and workarounds keep growing.