Observation Copilot vs Upraiser

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.

Upraiser is a web platform for converting classroom audio, photos, and observer notes into rubric-linked evidence, scores, and feedback for teacher evaluations. It transcribes lessons and cites specific transcript moments for each score. AI produces a draft that a human evaluator can review, change, and approve before teachers receive feedback. The service supports 24 state rubric frameworks, customer-authored rubrics, in-person, sit-down, and remote observations, and multilingual instruction. Its Consulting Platform adds contract and engagement management, coach assignments, session capture, AI coaching summaries, focus-area tracking, coach dashboards, portfolio dashboards, and reports tagged to funding sources such as Title I, Title III, and IDEA. Data is stored and processed in the United States. Default retention is 90 days for audio, 12 months for transcripts, and three years for evaluation artifacts, with customer configuration available. The maker says AI providers are instructed not to retain customer data or train on it. Pricing is on request; beta or evaluation access may be free, with future paid tiers possible.