Check-Ins Platform Roadmap: Boosting Engagement and Development

This roadmap is subject to change and should not be construed as a commitment to build these features.

This roadmap prioritizes features focused on enhancing the team member review process, integrating the shelved onboarding process, and incorporating generative AI for mentor support.

Streamlined and Repeatable Reviews (0.8.0)

  1. Review Planning & Validation:
    • Implement a dedicated review planning phase.
    • Automatically assign reviewers and validate assignments with managers.
    • Enable multi-layered team review structures:
      • Managers review planned assignments for subordinate managers.
      • Subordinate managers incorporate suggestions before final approval.
    • Integrate timeline creation and review launch functionalities for administrators.
  2. Review Implementation:
    • Streamline self-reviews and manager reviews.
    • Introduce automated reminders to both managers and team members.
    • Provide automated status overview emails to administrators.
    • Provide relevant contextual information during reviews, including:
      • Current title and job description
      • Skills listed in user profiles
      • Feedback received previously
  3. Reporting:
    • Develop review process reports detailing completion rates (breakdowns by department, etc.).
    • Create manager reports that detail individual and aggregate review outcomes.

Success Metrics:

  • Increased on-time completion rates for employee reviews
  • Increased on-time review period start rates
  • Improved user satisfaction with the review process

Onboarding and Modernization (0.9.0)

  1. Modularize Deployment:
    • Upgrade to Micronaut 4.x.
    • Introduce infrastructure as code.
      • Codify GCP environments with Terraform.
      • Migrate to cloud-based secret management.
    • Segment service deployments.
  2. Revive Onboarding Application:
    • Rebase and refresh the onboarding application.
  3. Configuration Management UI:
    • Integrate configuration into the UI to allow for dynamic configuration.

Success Metrics:

  • Increased completion of onboarding tasks before the new employees’ start dates
  • Increased user satisfaction with the onboarding process
  • Increased application flexibility

Professional Development Support (0.10.0)

  1. Job Library & Assignment:
    • Build a comprehensive job library within the platform.
    • Enable defining and assigning specific job roles.
  2. Generative AI Integration:
    • Develop Google Gemini integration module.
    • Construct prompts that analyze notes, feedback, job descriptions, and skills data.
    • Construct prompts to provide personalized suggestions for mentors:
      • Recommend development goals based on mentee information.
      • Suggest relevant learning resources or training opportunities.
      • Generate actionable development suggestions for increasing desired capabilities.
    • Incorporation of generated suggestions into the check-in planning process.

Success Metrics:

  • Higher engagement with the Check-Ins workflows
  • Enhanced employee development and career planning outcomes