Wellbeing check-ins

Proactively support your team’s wellbeing with automated check-ins

Key steps

  1. Ask your people how they feel - Send a quick, anonymous questionnaire to understand how your team is feeling, covering workload, stress levels, and work-life balance.
  2. Analyze results - Use Mosaico’s AI assistant to highlight trends, identify key pain points, and recommend actionable improvements.
  3. Address challenges and take action - Develop a plan to respond to the insights, like flexible hours, check-ins, or wellbeing initiatives, and communicate next steps to the team.
  4. Support managers and lead wellbeing conversations - Equip managers with guidance and tools to lead with empathy, set healthy boundaries, and create a culture of care.
  5. Share resources and offer support - Give employees access to 1:1 check-ins, mental health resources, and confidential support channels when they need it most.
  6. Check-in regularly - Schedule follow-up surveys every few months to track changes and continue improving your culture and support systems.

Advantages

  • Create a culture that listens and responds
  • Make wellbeing a rhythm, not just a reaction
  • Ideal for teams that want to prevent burnout, support mental health, and build trust through action

Why it matters

Builds trust

Enhances credibility, safety, and confident decision-making

Supports growth

Enables scaling, readiness for change, and capability building

Drives engagement

Keeps people motivated, connected, and aligned with purpose

Boosts productivity

Increases focus, output, and team effectiveness

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Key workflow features

People first

Designed to support wellbeing, inclusion, and meaningful human connection

Pre-built messages and e-mails

Save time with ready-to-go intros, updates, and follow-ups

Track progress

See what’s done, what’s next, and keep everyone aligned

AI assistant

Get smart suggestions for next steps, action prompts, and improvements

Collect feedback and data

Gather insights with built-in forms, reflections, or data collection