Use TeachFX Data with AI to Write Observation Feedback

What This Does

TeachFX records and analyzes classroom audio to show you student-to-teacher talk ratios, question types, and discussion patterns. Combined with a free AI chatbot, you can turn that data summary into a ready-to-share coaching feedback note — eliminating the manual interpretation and writing step.

Before You Start

• Your school/district has TeachFX access (district subscription — ask your instructional technology coordinator)
• A teacher has completed a TeachFX recording and you have the summary report
• You have a free ChatGPT or Claude account open in another browser tab

Steps

1. Complete a TeachFX Observation

1. The teacher opens the TeachFX app on their phone (or you set up a shared device)
2. They tap Record at the start of the lesson and Stop at the end
3. TeachFX processes the audio automatically — usually within a few minutes

What you should see: A notification that the session is processed; the teacher and you both receive a data report in the TeachFX dashboard.

2. Open and Read the TeachFX Report

1. Log into your TeachFX dashboard at the link your district provided
2. Click the observation you want to review
3. The report shows:

   • Talk ratio: % of time teacher talked vs. students talked
   • Talk moves: Question types (open vs. closed), wait time, student responses
   • Discussion timeline: visual breakdown of who talked when
4. Note the key numbers — student talk percentage, question count, wait time average

What you should see: A visual data dashboard with talk-ratio charts and a session timeline.

3. Export or Copy the Data Summary

1. Look for a Share or Export button in the report view
2. Copy the key data points:

   • Student talk: X%
   • Teacher talk: X%
   • Number of questions asked: X
   • Average wait time: X seconds
   • Any notable patterns TeachFX flagged

4. Take the Data to a Free AI Chatbot

1. Open ChatGPT (chatgpt.com) or Claude (claude.ai) in your browser
2. Paste the TeachFX data summary and type:

I'm an instructional coach. Here's TeachFX data from a classroom observation: [paste data]. Write a 1-paragraph coaching feedback note that cites the student talk percentage, highlights one strength, and recommends one specific next step for increasing student discourse. Coaching tone — warm, growth-focused.

1. The AI produces a data-backed feedback note in seconds

5. Review and Send

1. Read the AI-generated note — verify the numbers are cited accurately
2. Paste it into an email or your coaching feedback template
3. Include the TeachFX report link so the teacher can see the full data themselves

Real Example

Scenario: You ran a TeachFX session for a 5th-grade science teacher. Report shows: student talk 22%, teacher talk 78%, average wait time 1.2 seconds, 14 questions asked (12 closed, 2 open).

What you paste into ChatGPT: "TeachFX data: student talk 22%, teacher talk 78%, wait time 1.2 sec avg, 14 questions (12 closed, 2 open). Write coaching feedback with a strength and a next step."

What you get: "Today's lesson showed strong questioning frequency — 14 questions in 45 minutes keeps students on their toes. The data also shows an opportunity to shift the balance: student talk was at 22%, and with an average wait time of 1.2 seconds, students may not have enough time to formulate deeper responses. One next step: after asking your next open question, try counting to 5 silently before calling on anyone — you may be surprised who raises their hand."

Tips

• Share the TeachFX report link with the teacher before your debrief so they come in having seen the data themselves — it makes the conversation more collaborative.
• TeachFX is particularly powerful for literacy and discussion-heavy classes where talk ratio is a key metric. For skills-focused classes (PE, art), the data may be less central to your coaching focus.
• If your district doesn't have TeachFX, a simpler version is to use a phone timer to tally student vs. teacher talk in 5-minute intervals during an observation — then run the same AI feedback workflow.

Tool interfaces change — if a button has moved, look for similar AI/magic/smart options in the same menu area.