What Is Automated AI Form Submission Feedback?
Check full loom video here: https://www.loom.com/share/1814423481ca41339f366f0063d0d107
This is an advanced automation feature that allows FitMetrics to:
Read client answers from AI Forms
Cross-check those answers with Trainerize data
Automatically generate AI feedback
Send that feedback using AI Check-Ins, without manual review
This is ideal for:
Weekly check-ins
Adherence reviews
Progress feedback
High-volume coaching businesses
⚠️ This is an advanced use case and should be set up carefully.
How It Works (High Level)
Client fills out an AI Form (e.g. weekly check-in)
FitMetrics stores the submission
AI Check-Ins:
Reads the form answers
Verifies them against Trainerize data
Generates personalized feedback
Feedback is sent automatically to the client
The AI does not blindly trust form answers — it validates them against real data.
Step-by-Step Setup
1. Create or Identify Your AI Form
Example:
Weekly Check-In Form
Adherence Questionnaire
Training / Nutrition Feedback Form
Clients should already be submitting this form regularly.
2. Go to AI → AI Check-Ins
Navigate to:
AI → AI Check-Ins
This is where automated feedback logic is configured.
3. Create a New AI Prompt
Click Create Prompt
Choose a Data Timeframe
Example: Last Week
Logic:
If today is Monday → AI reads data from Monday–Sunday
Enable AI Form Submission ✅
(This step is mandatory)
4. Select the AI Form to Read From
Choose the form you want feedback on
(e.g. “Weekly Check-In”)
The AI will now know which submissions to analyze.
5. Write the AI Prompt Using Placeholders
Use / to insert placeholders.
Required placeholders for form feedback:
{{form_name}}{{submission_date}}{{questions_and_answers}}
Example Prompt:
Give feedback based on the client’s answers from the form submitted on {{submission_date}}
Form name: {{form_name}}
Answers:
{{questions_and_answers}}
Cross-check responses with Trainerize data and point out inconsistencies if any.
You can make this as strict or as supportive as you want.
6. Save the Prompt
Give it a clear name, for example:
Weekly Form FeedbackAI Check-In FeedbackAdherence Review
7. Create an AI Check-In Template
Create a new AI Check-In template
Paste only the placeholder generated by the prompt
Do not add extra text
Save the template
This template becomes the delivery mechanism.
Testing the Setup
Use Test Template inside AI Check-Ins:
Select a client
Simulate a send
Review the generated feedback
What You’ll Notice
AI compares self-reported adherence vs actual Trainerize data
If data doesn’t match, AI will call it out
Feedback is contextual, specific, and data-driven
This is intentional — and extremely powerful.
Why This Feature Is Powerful
Prevents clients from over-reporting adherence
Reduces manual weekly feedback workload
Scales coaching without losing accountability
Uses real data, not just form answers
Example:
Client claims 90–100% adherence
Trainerize shows missing workouts
AI highlights the disconnect automatically
Manual vs Automated Feedback (Important)
Option 1: Fully Automated (Advanced)
AI generates and sends feedback automatically
Best for:
Large teams
High client volume
Mature coaching systems
Option 2: Manual AI Feedback (Recommended for Most)
AI generates feedback
Coach reviews before sending
Full control, zero risk
You can generate feedback manually from form submissions using the same prompt logic.
Best Practices
Start with manual testing
Keep prompts clear and direct
Avoid overly aggressive language at first
Monitor early feedback closely
Use this only once you trust your data flow
Important Notes
AI feedback is only as good as the data available
If Trainerize data is missing, AI will point it out
This feature assumes:
Consistent tracking
Proper Trainerize sync
Clean form questions
Summary
Automated AI Form Submission Feedback allows you to:
Turn AI Forms into intelligent check-ins
Validate answers against real data
Deliver scalable, personalized feedback
Reduce manual coaching workload
This is one of the most advanced automation features in FitMetrics — use it wisely.