Client Intake and Assessment with AI

A new client signs your contract on Friday night. By Monday morning you owe them an intake call summary, a starting program, and a personalized welcome. AI can compress the writing time of that intake-to-program loop from three hours to under one — without compromising the personalized feel that makes your coaching worth paying for.

What You'll Learn

• Designing a smart intake form that AI can actually use
• Turning intake responses into a coaching brief
• Generating a movement assessment plan with AI
• Producing a welcome packet that feels custom

Designing an AI-Friendly Intake Form

Most intake forms are designed for humans to read. To use AI well, you want a form designed for AI to parse. The trick is structured fields with clear labels.

Use a tool like Typeform, Tally, Google Forms, or your CRM. Group fields into:

1. Identity & contact (name, age, email, time zone)

2. Health & safety (PAR-Q-style questions, medications, current injuries, medical clearances, pregnancy status)

3. Training history (years training, recent program, frequency, longest training streak, sports background)

4. Goals (specific outcome goal, time horizon, why now, past attempts)

5. Lifestyle (sleep average, stress level 1-10, work schedule, travel frequency, family commitments)

6. Nutrition baseline (typical eating pattern, dietary preferences, allergies, coffee/alcohol intake, water habits)

7. Equipment & logistics (gym vs home, equipment list, sessions/week available, session length)

8. Preferences (exercises they hate, exercises they love, communication tone, accountability level)

The more structured the form, the more useful AI's output will be when you paste responses into a prompt.

Turning Intake Responses Into a Coaching Brief

Once a client submits the form, paste their answers into AI and ask for a coaching brief.

Prompt Template

Below are intake responses from a new coaching client. Synthesize them into a 1-page coaching brief that I can keep in my client folder.

Sections required:

1. Snapshot — 3-line summary of who this person is
2. Primary goal & realistic timeline — your assessment, not theirs verbatim
3. Constraints to plan around — injuries, lifestyle, equipment
4. Programming priorities — what to emphasize in weeks 1-4
5. Coaching style notes — tone, accountability cadence, communication preferences
6. Three questions to clarify on the call — what's missing or contradictory

[paste intake responses]

Why This Saves Time

You're not just summarizing — AI is pulling out contradictions ("client says 4 sessions/week but also says 2 hours total weekly availability"), patterns ("low sleep + high stress + fat-loss goal — protein intake is going to be the lever"), and questions you'd otherwise miss reading the form at midnight.

Generating a Movement Assessment Plan

You can't watch every client move on day one. But you can have a structured assessment they film themselves doing, and have AI help you write the protocol.

Prompt: Self-Filmed Movement Screen

Generate a self-filmed movement screen the client can record on their phone in 10 minutes. They will send the videos. Include:

• 5-7 movements covering squat, hinge, push, pull, rotation, single-leg balance, and overhead reach
• For each: setup instructions, what to film (angles), and the "good rep" cue so the client doesn't try to game it
• At the end, a self-rated mobility checklist

Format: numbered list, plain language, no jargon.

You'll get a tidy guide you can drop into a Google Doc or PDF. Send it during onboarding.

Prompt: Reviewing the Footage

After the client sends videos, you watch and take rough notes. Then ask AI to clean them up:

Below are my rough notes on a client's self-filmed movement screen. Turn these into a brief assessment summary I can send the client. Include:

• 2 things they did well
• 2-3 priority items to address in week 1-4
• One short-term action they can practice between sessions

Tone: encouraging, specific, no medical diagnosis.

Notes: [paste notes]

The output is a polite, professional, useful assessment summary. Two minutes.

A Welcome Packet That Feels Custom

The welcome packet is your first major touchpoint. Done well, it sets the tone for the entire engagement. AI lets you produce a personalized version for every new client without spending an hour.

Welcome Packet Sections

A solid welcome packet includes:

1. A personal welcome message addressed to the client
2. What week 1 will look like
3. How and when to communicate (check-ins, emergency questions)
4. App / platform setup walkthrough
5. The first program (or a "settling-in" assessment block)
6. House rules (cancellation policy, scope of practice, payment)

Prompt: Personalized Welcome Letter

Write a 250-word welcome letter from me to a new coaching client.

Client snapshot: [paste your AI-generated coaching brief snapshot from earlier] Goal: [primary goal] Timeline: [12 weeks / 6 months / etc.] My voice: [3 adjectives — e.g., "warm, direct, evidence-based"]

Reference one specific detail from their intake to make it feel personal. End with a single concrete action they should take this week.

Prompt: Onboarding FAQ Section

Write 8 onboarding FAQs and answers for a new client of mine. Topics: how check-ins work, what to do if they're sick, how to log workouts in the app, when to ask questions vs wait for a check-in, how soreness is normal, what to do if they miss a session, when results show up, and how to give me feedback. Each answer 2-3 sentences. Tone: clear and reassuring, no fluff.

Keep these answers in a master FAQ doc, edit per client only when their situation needs it.

Privacy and Data Handling

Pasting client information into AI tools requires thought.

• Strip identifying details when possible — first name initial only, no last name, no email, no exact birthdate
• Use the AI tool's privacy settings — turn off training-data sharing where available (ChatGPT has this setting; Claude does not train on Pro/API by default)
• Don't paste medical diagnoses or PHI into consumer AI without an explicit data agreement
• Document your AI use in your client agreement so they're informed

A safe pattern: paste the content of the assessment without the client's name or contact info. The AI doesn't need to know the client is named Jamie. It needs to know "intermediate female lifter, 38, history of knee meniscus repair (cleared)."

A Realistic First-Week Workflow

Here's how a coach using AI handles a new client end-to-end:

1. Client submits intake on Friday night
2. Saturday morning (15 min): paste intake into AI, generate coaching brief
3. Monday call (30 min): clarify the three questions AI flagged
4. Monday afternoon (20 min): generate program draft, edit
5. Monday afternoon (10 min): generate welcome letter and customize
6. Monday afternoon (5 min): assemble welcome packet, send

Total writing time: about an hour. Without AI, this is a 3-4 hour task. The freed time goes into more clients, better content, or your own training.

Key Takeaways

• Structured intake forms produce structured AI input — design for parsing
• Turn intake into a coaching brief; let AI surface patterns and contradictions
• Use self-filmed movement screens with AI-generated protocols
• Welcome packets can feel custom even when 80% of the structure is reusable
• Always strip identifying details before pasting into AI tools