ObservaAI
Built for T-TESS & DMAC Workflows

AI-Powered Instructional Observation & Calibration Platform

Capture raw instructional evidence and instantly generate framework-aligned feedback, coaching insights, and DMAC-ready documentation.

Built for K-12 instructional leadership teams conducting high-volume walkthroughs, coaching cycles, and teacher evaluations.

< 2 min
Notes to feedback
3×
Faster than manual
±0.2
Rating variance
100%
Evidence-anchored
Executive Platform Demo

See Observa
in Action

Watch raw instructional evidence transform into calibrated coaching feedback, T-TESS alignment, and DMAC-ready documentation — in under 90 seconds.

< 2 min
Notes to feedback
3×
Faster than manual
±0.2
Rating variance
100%
Evidence-anchored
Book a Demo

3-minute walkthrough · No signup required

Live Demo
T-TESS
DMAC
AI
Observa v2.4 · K-12
Live Product Walkthrough

From Observation to Action

See how raw instructional evidence becomes actionable leadership feedback.

Step 1 of 4

Captured Notes

TeacherM. Reyes
SubjectAlgebra I — Period 3
CampusJuarez-Lincoln HS
ObserverAdmin Garcia
DateMay 14, 2026

Raw Walkthrough Notes

T opened w/ bell ringer — all Ss seated + on task within 2 min. ✓ Obj written on board (SWBAT solve two-step equations) but NOT stated verbally at launch or mid-lesson. Cold-call Qs to 6 Ss — avg wait time <3 sec before T rephrased. No think time offered. Small group rotation (3 groups): → Grp A: worked independently, stayed on task → Grp B & C: required 2–3 re-directions each during 8-min window No closure observed — bell rang, Ss began packing before summary or exit ticket. Strong rapport — Ss comfortable approaching T w/ questions during work time. Positive tone maintained throughout.

Evidence Extracted by AI

StrengthEntry routine: all students on task within 2 minutes of entry bell.
GapLearning objective posted but never verbally activated during instruction.
GapWait time averaged <3 seconds — no structured think time offered.
GapTwo of three small groups required repeated re-direction during rotation.
GapNo closure routine — lesson ended without summary or exit ticket.
StrengthPositive classroom culture; students freely sought teacher support.
The Observa Difference

From Raw Evidence to Actionable Instructional Feedback

Observa transforms informal observation notes into structured, framework-aligned coaching documentation in seconds.

Input
Raw Observation Notes
Administrator
Teacher: M. ReyesSubject: Algebra IDate: May 28, 2026
8:03• LO posted & referenced during instruction
8:07• Students engaged in collaborative discussion
8:12• Teacher used checks for understanding (exit slip)
8:18• Kahoot review aligned to lesson objective
8:24• Students explained reasoning using academic vocabulary
Processing observation…
Generated Output
Calibrated Documentation
Ready in ~90s
Glow Feedback
Grow Feedback
Actionable Next Steps
T-TESS Alignment
DMAC-Ready Evidence
Calibration Insights
Report generated in 38 seconds · Ready to share or export
No templates required
No manual framework lookup
No inconsistent scoring
No hours of rewriting notes
70%
Less Documentation Time
Reduce hours spent writing observation reports
±0.2
Calibration Consistency
Industry-leading inter-rater agreement across evaluators
< 2min
Feedback Generated
From raw walkthrough notes to structured coaching output
∞
High-Volume Ready
Built for leadership teams running campus-wide walkthroughs
Simple by Design

How Observa Works

Built to simplify instructional walkthroughs, coaching feedback, and calibration workflows.

Step 01

Capture Evidence

Administrators conduct walkthroughs naturally while capturing raw instructional evidence in real time.

Step 02

AI Aligns to Frameworks

Observa analyzes instructional evidence and aligns outputs to T-TESS, DMAC, and district coaching expectations.

Step 03

Export Actionable Feedback

Generate calibrated coaching feedback, observation summaries, and analytics-ready instructional insights instantly.

Built by Administrators Who Understand the Work

Observa was created by active K-12 instructional leaders who understand the realities of walkthrough volume, calibration inconsistency, evaluation documentation, and coaching demands inside modern school systems.

The platform was designed to reduce administrative workload while improving instructional alignment, consistency, and feedback quality across campuses and districts.

Designed for real walkthrough environments
Built around T-TESS and DMAC workflows
Focused on calibration consistency
Created for district scalability
Built by practitioners, not consultants

Built on years of frontline experience in Texas school districts — by leaders who still walk classrooms today.

What You Just Saw

Five steps. One platform.

From classroom walkthrough to district-wide insight — Observa handles every step.

01 · Observe

Enter raw walkthrough notes from any device — shorthand, bullets, anything works.

02 · Capture

AI extracts observable evidence anchored directly to your notes.

03 · Generate

Glow, Grow, and Action Steps generated in under 90 seconds.

04 · Align

Framework calibration across DMAC, T-TESS, Danielson, and Marzano.

05 · Export

Board-ready PDF or shareable coaching link — one click, fully formatted.

Leadership Value

Why District Leaders
Choose Observa

01

Consistent Observation Calibration

Create greater consistency across administrators through evidence-first walkthroughs.

02

Faster Leadership Feedback

Deliver actionable coaching before leaving classrooms.

03

District Visibility

Identify trends across teachers, campuses, and instructional practice.

04

Support Instructional Growth

Turn observations into measurable next steps.

District-Ready Platform

Ready to Modernize
Instructional Walkthroughs?

See how Observa helps leadership teams streamline walkthroughs, improve calibration consistency, and generate actionable instructional feedback faster.

Schedule a Demo

30-minute personalized walkthrough · Limited early-access slots · No commitment required