Classroom Mosaic vs Observation Copilot

Classroom Mosaic is an observation platform for K-12 instructional leaders supporting teacher development and retention. Users can customize forms, import existing ones, or select from a form library. Dashboards organize real-time observation data with aggregation, duration tracking, filters, and trends over time. Evaluation tools include task workflows, rubrics, scripting, e-signatures, scoring, and due-date reminders. After an observation is submitted, summary emails go to the observer and teacher; email-integrated dialogue threads keep teacher replies with the observation. The app supports offline observations and syncs them when internet access returns. It runs on Android, iOS, macOS, web, and Windows, and listed authentication options include Google SSO, ClassLink SSO, and SAML. The Individual plan costs $40 a year, billed at $40 per month annually, and a 45-day trial is offered. There is no free plan. Classroom Mosaic was founded in 2011.

Observation Copilot turns classroom observation notes into rubric-aligned feedback drafts for principals and school leaders. It organizes suggestions by rubric domain and offers strengths, growth areas, and next steps for users to review, edit, and share. The web platform puts short walkthroughs and full formal observations in the same dashboard. It supports frameworks including Danielson FFT, T-TESS, Marzano, and custom rubrics. Users can upload lesson audio for transcription and attach lesson plans for comparison with observed instruction. Feedback tone and length can be changed, or a writing sample can guide the user's voice. The free Individuals plan costs nothing and includes unlimited teachers, formal observations, walkthroughs, state and district frameworks, and email support. District plans add analytics dashboards, natural-language search, initiative tracking, school-level views, and anonymized aggregated data. Those dashboards hide data sets with fewer than 10 observations. Edthena says the service is FERPA and COPPA compliant, encrypts data in transit and at rest, and does not use observation information to train third-party AI models. Users can delete observations, teacher records, or accounts.