Mood Navigator goes beyond simple check-ins. With built-in AI analysis, Equip helps caregivers and support teams detect emotional patterns, understand triggers, and improve responses. These insights turn mood tracking into a powerful tool for proactive and personalized care.
🔍 What is AI Mood Analysis?
AI Mood Analysis uses trends from mood entries, coping selections, daily routines, and event data to generate clear, supportive summaries. These insights can:
Show shifts in mood over time
Flag possible triggers for stress or negative emotions
Suggest connections between mood and routines, environments, or times of day
Highlight when coping strategies are used — and how well they’re working
These summaries are visible to the support team and are meant to guide personalized care, timely conversations, and thoughtful updates to support plans.
📊 Where is AI Used?
AI-powered summaries appear once a user has enough mood history to analyze. With the right permissions, administrators and supporters can:
View weekly or monthly mood summaries
Track average mood levels and mood stability
See patterns that highlight what’s helping — or hindering — emotional wellness
Equip gives the AI instructions to produce practical, respectful summaries for support teams. Review the summary against the participant’s records before using it to guide a conversation or support plan.
🔒 Privacy and Security
AI Mood Analysis uses selected participant context, mood entries, coping choices, routines, goals and events to prepare a summary. Record titles, custom mood labels and free-text disability information can be included. Those fields are not automatically stripped of names or other identifying details, so the analysis is not an anonymous-data workflow.
Only enter information appropriate for your organization’s use of Equip. Access to the analysis follows Equip permissions. Contact the Equip team for details about AI providers, data handling and your organization’s agreement.
Use the summary as a conversation starter
AI insights are a starting point for a conversation, not a conclusion about the participant. Review the underlying entries, ask the participant about their experience, and use their feedback when deciding whether a support plan needs to change.