Coachful
CoachfulHelp

Michelle and your coaching data: privacy and what she can see

By Coachful11 min readUpdated Apr 16, 2026

Wondering what Coachful's AI assistant Michelle can see in your workspace? This guide covers her exact data access, client privacy protections, and how to use her responsibly.

What's covered
  • TL;DR — What Michelle Can and Cannot See
  • How Coachful's Multi-Tenant Architecture Protects Your Data
  • What Data Michelle Can Actually Access
  • What Michelle Cannot See or Do
  • How Your Client Data Is Protected
  • Step-by-Step: Reviewing What Michelle Has Access To

If you've ever typed a question into Michelle and wondered, "Wait — how much does she actually know about my business?" — you're not alone. Coaches regularly ask what data Michelle can access, whether client information is private, and how Coachful handles AI-assisted features responsibly. This article answers all of it, clearly and completely.

Michelle is Coachful's built-in AI co-pilot. She lives inside the coach dashboard, understands your workspace, and can take real actions on your behalf — which makes the question of Michelle and your coaching data privacy worth understanding in full before you start using her.

TL;DR — What Michelle Can and Cannot See

  • Michelle can see your programs, clients, sessions, squad activity, offers, and workspace settings — data scoped to your own Coachful organization.
  • Michelle cannot see other coaches' organizations, raw payment credentials, your Stripe secret keys, or anything outside your tenant boundary.
  • Client data (names, progress, messages) is only accessible within your org — never shared across tenants or used to train a shared model.
  • You control what actions Michelle is asked to take. She acts on your instructions, not on her own initiative.

How Coachful's Multi-Tenant Architecture Protects Your Data

Coachful is built on a multi-tenant model. Every coach operates inside a completely isolated organization, identified by a unique subdomain (e.g., yourname.coachful.co) or a custom domain. Think of each tenant as a walled room: data from one room cannot bleed into another.

Michelle operates within this same boundary. When she fetches information to answer a question or execute a task, she queries only the data belonging to your organization. There is no cross-tenant data sharing at the AI layer — Michelle serving a coach on alice.coachful.co cannot pull information from bob.coachful.co, even if both run on the same underlying infrastructure.

This architecture is enforced at the database query level, not just at the application layer. Row-level tenant scoping means that even if a query were somehow misdirected, it would return zero results outside your org boundary.

What Data Michelle Can Actually Access

Michelle is context-aware within your workspace. Here is a specific breakdown of what she can read and act on, organized by area:

Programs and Curriculum

Michelle can read your program structures — week and day breakdowns, task definitions, goals, and habits. She can help you draft new modules, suggest task sequences for a 12-week program, reorganize a curriculum, or explain what a client has completed so far. If you ask her to create a new program, she can scaffold the weeks and days and then hand you the draft to review.

Clients and Progress

Michelle can see your enrolled clients — their names, enrollment status, program progress, and habit completion streaks. She uses this to answer questions like "Which clients haven't completed their Week 3 check-in?" or "Who is behind on their goals this month?" She reads progress data; she does not modify client records unless you explicitly instruct her to.

Bookings and Sessions

Michelle has visibility into your upcoming and past sessions — 1:1 bookings, group calls, and intake calls. She can help you reschedule, summarize session history for a specific client, or identify gaps in your availability settings. Calendar sync data (Google Calendar, Outlook) is also accessible at the session-metadata level so she can help you spot scheduling conflicts.

Squads and Messaging

Michelle can see squad metadata — which squads exist, who is in them, and basic activity signals. She does not have full access to the raw contents of every private message thread by default. Messaging in Coachful is powered by Stream's team-based multi-tenancy, and direct message content is treated as sensitive. Michelle can summarize squad engagement trends (e.g., "Your momentum squad has been quiet for 5 days") but will not surface or quote individual private messages without a deliberate, coach-initiated action.

Offers, Billing, and Stripe

Michelle can see your published and draft offers — pricing tiers, payment plans, coupon codes, and enrollment numbers. She can help you create a new offer, duplicate an existing one, or explain the difference between your one-time and recurring products. She does not have access to your Stripe secret keys, banking details, or individual client payment methods. Billing actions that involve real money (refunds, subscription cancellations) require you to confirm in the Stripe dashboard or within the dedicated billing settings in Coachful.

Website and Content

Michelle can read and assist with your drag-and-drop website pages, blog posts, lead-magnet pages, and link-in-bio configurations. She can draft copy, suggest SEO improvements, or help you restructure a funnel — all within your own site builder workspace.

Workspace Settings and Team Members

Michelle can see your organization's member list and roles (coach, editor, virtual assistant, member) and your general workspace configuration. She can help you onboard a new team member or explain permission differences. She cannot change role assignments for admin or super_admin users without explicit elevated confirmation.

Already on Coachful? You can start a conversation with Michelle directly from your coach dashboard. Not yet a member? Start your free trial and see how Michelle saves hours of admin work every week.

What Michelle Cannot See or Do

Equally important is understanding the hard limits. Michelle operates with a principle of minimal necessary access — she only pulls what she needs to answer your question or complete the requested action.

  • Other coaches' organizations. Full stop. No cross-tenant reads, ever.
  • Stripe secret keys and raw payment credentials. These are stored encrypted and are never surfaced to Michelle or any application-layer feature.
  • Raw private message content. Individual DM threads are not bulk-fed into Michelle's context. She works from metadata and aggregated signals unless you explicitly paste content into the chat.
  • Super_admin platform controls. Platform-level settings that affect all Coachful tenants globally are outside Michelle's scope entirely.
  • Third-party integrations' internal data. If you've connected a third-party tool, Michelle can see what Coachful knows about that integration (e.g., whether a calendar is synced) but cannot reach into that external system independently.
  • Autonomous background actions. Michelle does not run silently in the background reading your data or sending messages. She only acts when you're in an active session with her and issue an instruction.

How Your Client Data Is Protected

Client privacy is the most sensitive area, and coaches rightly want clarity here. A few important principles govern how client data flows through Michelle:

Data Is Scoped to Your Org

Your clients enrolled in your programs are part of your organization. Their names, progress, and activity are visible to you and your team members (based on roles) — and therefore to Michelle when you invoke her. No client data from your org is accessible to other coaches on the platform.

No Training on Your Data

Coachful does not use your client data, your program content, or your conversation history with Michelle to train shared AI models. Your workspace data is yours. It is used to serve your queries in session, not to improve a general-purpose model at your clients' expense.

Retention of AI Conversations

Conversations with Michelle are stored as part of your coach dashboard history so you can refer back to previous queries. These logs are scoped to your org and are not shared externally. You can review your Michelle conversation history at any time from the AI assistant panel.

Client-Facing vs. Coach-Facing

Michelle is a coach-facing tool. Your clients do not interact with Michelle and cannot query her. Clients see the Coachful member experience — programs, squads, bookings, messaging — but not the AI co-pilot layer. This means there is no risk of a client accidentally querying information about other clients.

Step-by-Step: Reviewing What Michelle Has Access To

If you want to audit Michelle's context before using her for sensitive tasks, here's how to orient yourself:

  1. Go to your Coach Dashboard and open the Michelle panel (the AI icon in the sidebar or bottom-right prompt bar).
  2. Ask Michelle directly: "What data can you see about my organization right now?" She will list the categories she has access to in your current session context.
  3. Navigate to Settings → Team & Roles to confirm which team members have access to your org data and at what permission level.
  4. Visit Settings → Integrations to review which external services (calendar, Stripe, etc.) are connected and what Coachful has synced from them.
  5. If you have specific data you want to keep out of AI-assisted features, avoid pasting sensitive raw content (e.g., a client's medical history) directly into the Michelle chat window.

Pro Tips for Using Michelle Responsibly

The most effective coaches use Michelle for operational leverage — not as a replacement for human judgment on sensitive client matters. Let her handle the admin; you handle the relationship.
  • Be specific in your prompts. "Summarize the progress of my client Jordan in the 12-week strength program" gives Michelle a narrow scope and a useful output. Vague prompts like "tell me about my clients" produce broader data pulls than you may need.
  • Use Michelle for draft actions, not final ones. When Michelle prepares a program module or drafts a message, review it before publishing. She's fast — but you're the expert on your clients.
  • Assign appropriate team roles. If a virtual assistant on your team uses Michelle, their access is constrained by their role permissions. A virtual_assistant role cannot ask Michelle to perform actions that require coach-level permissions.
  • Keep sensitive client disclosures out of the chat. If a client shares personal health information with you in a private conversation, don't paste that into Michelle's window. Use the messaging and notes system for sensitive records.

Troubleshooting: Common Questions About Michelle and Data Privacy

Michelle mentioned a client detail I didn't ask about — why?

Michelle sometimes proactively surfaces relevant context when it's directly related to your query. For example, asking "How is my program doing this week?" might prompt her to mention a specific client who is behind schedule. This is intentional and scoped to your org. If you'd prefer narrower responses, be more specific in your prompts.

Can Michelle access data from before I became a Coachful customer?

No. Michelle can only access data that exists within your Coachful organization. Data from external tools, spreadsheets, or previous platforms is not available to her unless you've imported it into Coachful or pasted it into her chat window yourself.

A team member accidentally gave Michelle an instruction I didn't authorize — can I reverse it?

Most of Michelle's actions (creating program drafts, generating copy, suggesting restructuring) are reversible because they produce drafts that require your confirmation before publishing. For any irreversible actions, Coachful builds in a confirmation step. Review your Activity Log in Settings to see a history of changes made in your org.

Does Michelle store or log what I type to her?

Yes — conversation history is saved within your Coachful dashboard so you can reference past sessions. These logs are private to your org. They are not shared with other coaches, used in platform-wide AI training, or accessible to Coachful support staff during routine operations.

I'm on the Growth plan. Do I get the same Michelle privacy protections as Scale?

Yes. Privacy and data isolation are infrastructure-level guarantees that apply to all paid Coachful plans. The difference between Growth and Scale tiers relates to feature limits and usage caps, not to the strength of data protection.

Ready to Put Michelle to Work?

Understanding Michelle's data access isn't just about peace of mind — it's about using her confidently and effectively. She's designed to give you leverage across your entire coaching operation: building programs faster, staying on top of client progress, managing bookings, and crafting your marketing content — all without leaving your dashboard.

The privacy boundaries are built in by default. You don't need to configure them. Your data stays in your org, your clients' data stays protected, and Michelle acts only when you ask her to. That's the deal.

If you're already a Coachful coach, sign in to your workspace and open the Michelle panel to try your first query. If you haven't started yet, start your free trial and explore what an AI-powered coaching practice looks like in practice. For more guides on getting the most out of Michelle, browse the full help center.

Frequently asked questions

Can Michelle see my clients' private messages?
Michelle can see squad metadata and engagement signals but does not have access to the full contents of private message threads by default. She works from aggregated activity data unless you explicitly paste message content into her chat window yourself.
Does Coachful use my client data to train AI models?
No. Coachful does not use your client data, program content, or Michelle conversation history to train shared AI models. Your workspace data is used only to serve your in-session queries and is never used for platform-wide model improvement.
Can a virtual assistant on my team use Michelle, and what can they access?
Yes, team members with the virtual assistant role can use Michelle, but her responses and available actions are constrained by that role's permissions. A virtual assistant cannot instruct Michelle to perform actions that require coach-level or admin-level access.
Is Michelle available to my clients, or only to me as the coach?
Michelle is a coach-facing tool only. Your clients interact with the standard Coachful member experience — programs, squads, bookings, and messaging — but they do not have access to the Michelle AI co-pilot panel.
Can Michelle access data from tools I've connected, like Google Calendar?
Michelle can see session-level metadata from connected integrations, such as whether a calendar is synced and what sessions are scheduled. She cannot independently reach into external systems like Google Calendar or Stripe to read or modify data beyond what Coachful has already synced.
Does the level of data privacy Michelle offers differ between Coachful's pricing plans?
No. Data isolation and privacy protections are infrastructure-level guarantees that apply equally to all paid Coachful plans. Plan differences (Growth vs. Scale) relate to feature availability and usage limits, not the strength of privacy controls.
Can I see a log of everything Michelle has done in my workspace?
Yes. You can review your Michelle conversation history in the AI assistant panel, and broader workspace changes are tracked in the Activity Log under your Settings. Both logs are private to your organization and not visible to other coaches on the platform.
Was this article helpful?