AI Insight
The Rise of AI-Powered Productivity Analytics
AI search and assistants help managers ask natural-language questions about activity, productivity, and risk-grounded in your org’s data.
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Out-of-the-box productivity labels rarely fit every org. A fintech team lives in proprietary terminals; a design studio lives in Figma; a support desk lives in Zendesk and dialers. Spectosoft addresses this with productivity profiles and hundreds of configurable activity rules.
Profiles and the General bucket
Every org gets a General profile with rules for common engineering, design, and communication tools plus domains like GitHub, Jira, and internal sites.
Child profiles can target departments with different assignments so sales and engineering are not judged against the same app list.
Unclassified inventory
New apps and domains appear constantly. The unclassified inventory shows what the agent saw but no rule matched-managers classify in bulk instead of guessing from idle metrics alone.
Keep rules maintained
Assign an owner to review unclassified monthly, update rules when you adopt new SaaS tools, and document changes for compliance. Good rules make productivity percentages worth discussing in one-to-ones.
