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Campus Setup

1
  • How to Set Up Your First Study Hall

Phase 1: Build Your Community Library

3
  • TS YouTube Title and Thumbnail Formula
  • TrainingSites Client Questions
  • TrainingSites Brand Details

Phase 2: Launch Your First Cohort

10
  • VIBE Course Creation Prompt
  • Real Life Situations and Scenarios
  • Perplexity Research Course Finished Response
  • Generic Master Course Prompt
  • DeepResearch Course Finished Report
  • Deep Research Course Task Request
  • Create Authentic Course Content
  • Create A Course With 3 Prompts
  • Course Research and Braining Storming Prompts
  • Convert Transcripts Into Course Content ChatGPT o1

Phase 3: Scale & Automate Your Campus

4
  • YouTube Newsletter Notification App AI Business Uses
  • Rethinking a education business in the ai age.
  • FRAMEWORK: T.A.C. – Teach, Apply, Coach
  • 100 Vibe Coding Ideas For Online Course Creators

Anthropic/Claude Tools

1
  • How To Prompt A New Skill For Claude

OpenAI/ChatGPT Tools

3
  • OpenAI ChatGPT Atlas Browser Hacks For YouTube
  • How Edupreneurs and Small Business Can Compete With Apps In ChatGPT
  • How ChatGPT and Apps In ChatGPT Will Change Learning

AI Automation & Workflows

8
  • FRAMEWORK: (SPARK) Turn Video Courses Into Mini-Apps
  • FRAMEWORK: (SOWHAT) How To Weed Out AI Tools
  • Claude MCP Integration with TrainingSites
  • Claude Connectors – MCP for regular people!
  • ChatGPT Tasks – AI Agents That Create Content From Your YouTube Videos
  • AI Engine ChatBot Prompt
  • AI Agents Task Lists
  • 100 Concrete AI Agent Ideas for Course Creators & Educators

Prompt Library & Frameworks

53
  • 🧠 Prompt Like a Boss: Expanded Vocal Prompting Cheat Sheet
  • YouTube Video Template
  • YouTube Transcript Formatter – To Support Video
  • YouTube Transcript Formatter
  • YouTube Title and Thumbnail Special Instructions
  • TEACH Framework: With Examples
  • TEACH Framework: Basics
  • Social Media Creation Prompts
  • Sales Page Prompt Generator for Free Member Offers
  • Sales Copy Prompts
  • Prompts To Create Your Personal Teaching Style and Video Profile
  • Prompts To Create Your Default Context Profile
  • Perfect Course Audience Prompt
  • OpenAI Image Generation Tips
  • My Course Syllabus Prompting System
  • Mini-Course Transcript Converter
  • Master Lesson Text Prompt
  • How To Use A Prompt that Creates The Best Prompt
  • Glasp.co YouTube Summary Prompts
  • Getting Started Intro Lesson Text Prompts
  • Generic YouTube Prompts
  • General Prompts
  • General Blogging Prompts
  • Gemini 2.5 Pro Title & Text Generator – Market Specific
  • GEAR Prompt Template Library
  • GEAR Phrases
  • GEAR Framework with ACR Integration
  • GEAR Framework Checklist
  • GEAR Framework Applications for Side Hustle Tasks
  • From Youtube Videos
  • FRAME: Turn ANY Topic Into A Framework
  • Create A MindMap File Prompt
  • Course Research to MindMap Prompts
  • Converty Competitors Youtube Videos Into MindMaps
  • Convert YouTube to Blog
  • Conversational Clean Up Prompts
  • Conversational AI Use Cases
  • Content or Topic Authority Map
  • Community Building Prompts
  • Client Profile Prompts
  • ChatGPT Prompt Styles: Definitions and Examples
  • AI Prompts For Youtube and Course Videos
  • AI Prompts – Getting Started
  • AI Powered Self Assessments – Gemini
  • AI Powered Self Assessments – Claude
  • AI Powered Self Assessments – ChatGPT
  • 5 Weird Conversational Prompts To Use
  • 5 AI Prompts for Simplifying Course Content
  • 20 Prompts To Create Content For YouTube Videos
  • 20 Online Course Creation Prompts with Simple and Complex Examples
  • 15 Advanced Business Conversations
  • 10 Ways To Use Gemini 2.5 Pro with Multimodal Inputs
  • 10 General Purpose Marketing Task Prompts

Content Creation & Marketing

4
  • YouTube Thumbnail Strategies
  • YouTube Shorts Basics
  • Text For Video Titles and Scripts
  • Default YouTube Settings

Campus Technical Setup

57
  • Your Campus Communication Dashboard: FluentCRM Overview
  • Understanding Individual Campus Member Profiles
  • Understanding Campus Member Messages in TrainingSites
  • Understanding Activity Feeds: The Heart of Your Study Hall
  • TutorLMS Integration – Connecting Campus Communications with TutorLMS
  • TrainingSites Campus Global Settings Overview
  • Teaching Study Hall Privacy: Public, Private, and Secret Settings
  • Teaching Study Hall Member Management: Roles, Invitations, and Access Control
  • Teaching Members to Join Learning Paths: Participation Management
  • Study Hall Post Sorting Options: Helping Members Find What Matters
  • Study Hall Navigation Links: Organizing Your Campus Experience
  • Study Hall Membership Invitations: Growing Your Community Strategically
  • Study Hall Document Library: Organizing and Sharing Resources
  • Setting Up Your First Campus Communication (Bulk Message Campaign)
  • Providing Downloadable Resources in Lessons: File Management
  • Primary Workflow Triggers for Campus Automation
  • Personalizing Campus Messages with Smart Codes
  • Personalizing Campus Communications with Merge Tags
  • Managing Your Campus Members: The Contacts Dashboard
  • Managing Your Campus Member Database
  • LMS Triggers for Student Journey Workflows
  • LMS Actions for Course Automation
  • LifterLMS Integration – Connecting Campus Communications with LifterLMS
  • Learning Path Privacy Settings: Teaching Members Access Control
  • LearnDash Integration – Connecting Campus Communications with LearnDash
  • Introduction to Student Journey Workflows
  • Introduction to Campus Automation: Teaching That Happens While You Sleep
  • Import Campus Members into Your TrainingSites Campus
  • How to Set Up a Study Hall for Your Campus Members
  • How to Segment Your Campus Members with Lists, Tags, and Dynamic Segments
  • How to Install and Activate FluentCRM for Your Campus
  • How to Add and Manage Campus Members in FluentCRM
  • Handling Comments and Reactions: Building Conversations in Study Halls
  • Guide Your Members: How to Set Up Their First Study Hall
  • Editing and Deleting Study Halls: A Complete Management Guide
  • Creating Student Journey Workflows and Using the Editor
  • Creating Reusable Message Templates for Your Campus
  • Creating Knowledge Assessments: Teaching Members to Build Quizzes
  • Creating Custom Member Data Fields in Your Campus
  • Creating Campus Enrollment Forms with Fluent Forms
  • Creating and Managing Posts: The Foundation of Study Hall Engagement
  • Creating and Managing Polls: Drive Quick Engagement in Study Halls
  • Creating and Managing Learning Paths in Your Campus
  • Composing Campus Member Messages in TrainingSites
  • Campus Member Statuses – Managing Active and Inactive Members
  • Campus Member Segments – General & Dynamic Targeting
  • Campus Communication Templates – Reusable Message Designs
  • Campus Communication Campaigns – Broadcasting to Members
  • Campus Communication Actions in Student Journey Workflows
  • Campus Automation Triggers: When Your Teaching Automations Start
  • Building and Editing Campus Automations
  • Advanced Member Filtering: Finding Exactly the Right Students
  • Advanced Filter – Finding Specific Campus Members
  • Adding Resource Links to Learning Paths: Navigation Enhancement
  • Adding Custom Links to Study Halls: Connect External Resources
  • Activity Feed Views: Teaching Members to Navigate and Engage
  • Abandoned Cart Recovery for Course Sales

Case Studies & Examples

7
  • Pickleball APP Onboarding
  • MyPickleball Friends Keywords
  • My Pickleball Friends Basics
  • MPF Topical Authority Map
  • MPF Facebook Intro Snippets
  • Marketing Strategy
  • Marketing Email & Copy

Teaching Online with AI — FAQ

100
  • Will AI lower the price that people are willing to pay for online courses?
  • Will AI eventually replace online educators and course creators?
  • Why would someone join a live community when they can just ask ChatGPT?
  • Why would I use AI for research when I can just Google something?
  • Why use AI for email writing when I already have a template folder?
  • Why does AI sometimes say things that sound real but are completely made up?
  • Why does AI sometimes give confident but completely wrong answers?
  • Why do some AI answers feel so human while others feel obviously robotic?
  • Why do educators need to understand how AI works even if they only use it as a tool?
  • Why do different AI tools give different answers to the same question?
  • Why do AI tools keep improving so quickly compared to other software?
  • When should I use Google instead of asking an AI tool?
  • When is it faster to use a traditional tool versus going to AI?
  • What’s the best time of day or workflow moment to start practicing with AI?
  • What types of online courses are most at risk of being replaced by AI?
  • What skills will still be valuable for educators to have in five years given AI?
  • What should I tell my students when they ask me what AI is?
  • What should I not use AI for when I’m just starting out?
  • What should I actually try doing with AI in my first week to get comfortable?
  • What makes AI more useful than a pre-made template library?
  • What is the simplest task I can use AI for right now without any training?
  • What is the one thing about AI that most non-technical educators fundamentally misunderstand?
  • What is the main workflow difference between using AI and using traditional research tools?
  • What is the main advantage of AI over a YouTube tutorial for learning something new?
  • What is the fastest win I can get from AI in my teaching business this week?
  • What is the difference between the web interface for AI and the mobile app?
  • What is the difference between AI and machine learning and automation?
  • What is the case for investing in a community-based teaching model over solo courses?
  • What is the biggest threat AI poses to the online education industry?
  • What is the biggest mistake beginners make in their first week using AI?
  • What is the best AI tool to start with as a complete beginner?
  • What is one thing AI does that no other tool I currently use can match?
  • What is AI in simple terms for someone who isn’t tech-savvy?
  • What is a realistic expectation for what AI can do for me in my first month?
  • What is a prompt and why does wording it carefully matter?
  • What happens if I ask AI a really dumb question — will it judge me?
  • What evidence is there that human educators are thriving even as AI gets better?
  • What does transformation require that AI cannot provide?
  • What does it mean when people say AI was trained on data?
  • What does it mean when an AI has a knowledge cutoff date?
  • What does it mean that AI is a probabilistic tool rather than a deterministic one?
  • What does AI do better than Grammarly for editing my writing?
  • What does a large language model actually do when I type a question into it?
  • What do my students want from me that AI cannot give them?
  • What do human educators offer that AI genuinely cannot replicate?
  • What can AI do that Word and Google Docs can’t?
  • Should I write my prompts like a search query or like a sentence to a person?
  • Should I stop using Google now that AI tools exist?
  • Should I start with the free version of an AI tool or pay for the premium tier?
  • Should I replace my current tools with AI or add AI on top of them?
  • Should I be taking notes on what works and what doesn’t as I experiment with AI?
  • Should I be adding AI features to my course or avoiding them entirely?
  • Is using AI for lesson planning any better than using a Word document outline?
  • Is there a safe way to test AI on real course content without publishing anything?
  • Is there a risk that AI will start giving me personalized answers based on my history?
  • Is the AI I’m using storing my conversations and learning from them?
  • Is personal coaching still worth paying for when AI can give advice instantly?
  • Is live facilitation more or less valuable now that AI exists?
  • Is it naive to build a teaching business right now when AI is advancing so fast?
  • Is fear of AI replacement something I should discuss openly with my students?
  • Is ChatGPT the same thing as AI, or just one type of AI?
  • Is AI just a smarter version of the spellcheck I already use?
  • Is AI better at summarizing documents than reading them myself?
  • If AI can answer any question instantly, why would anyone pay to learn from me?
  • How will I know when I’ve moved from beginner to actually comfortable with AI?
  • How much does AI actually understand context from earlier in a conversation?
  • How long does it typically take to feel comfortable using AI as an educator?
  • How is talking to AI different from searching a forum for answers?
  • How is ChatGPT different from just doing a Google search?
  • How is AI writing different from just using a content template?
  • How is AI different from a search engine like Google?
  • How does human accountability differ from AI-generated feedback?
  • How does an AI chatbot compare to a knowledge base or FAQ system?
  • How does AI handle tasks like scheduling or organizing compared to tools I already have?
  • How does AI handle real-time information compared to tools I already use?
  • How does AI compare to Canva for creating educational visuals?
  • How do I use AI in my teaching in a way that makes my students value me more, not less?
  • How do I talk to potential students about AI without undermining my own value?
  • How do I stay relevant as an educator when my subject matter keeps changing because of AI?
  • How do I sign up for ChatGPT or Claude without doing something wrong?
  • How do I save or organize the AI responses that are actually useful?
  • How do I reframe my value as a teacher in a world where AI knows everything?
  • How do I practice using AI without it interfering with my actual work?
  • How do I know if I am using AI effectively or just wasting time with it?
  • How do I figure out whether the AI output is good enough to use or needs editing?
  • How do I explain to my students or colleagues that I’m starting to use AI?
  • How do I decide which existing tools to keep and which ones AI can replace?
  • How do I build on what AI gives me instead of just accepting whatever it says?
  • How do I avoid the trap of using AI for everything once I discover how powerful it is?
  • How do companies like OpenAI, Google, and Anthropic make money from AI?
  • How confident should I be that an AI answer is accurate before I use it in my teaching?
  • How can I compete with free AI tools that seem to know everything?
  • How are other educators dealing with the anxiety around AI replacing their work?
  • Does AI actually understand what I’m asking, or is it just pattern matching?
  • Can I break something or cause a problem by experimenting with AI?
  • Can AI think for itself, or does it only repeat things it has seen before?
  • Can AI replace the relationship between a mentor and a student?
  • Can AI replace the note-taking apps I already rely on?
  • Can AI make decisions on its own, or does it always need a human prompt?
  • Can AI do things that my existing course platform tools can’t do?

Getting Started

2
  • Dashboard Quickstart
  • CAMPUS TOUR

S1: Getting Started with AI as an Educator

100
  • Will AI lower the price that people are willing to pay for online courses?
  • Will AI eventually replace online educators and course creators?
  • Why would someone join a live community when they can just ask ChatGPT?
  • Why would I use AI for research when I can just Google something?
  • Why use AI for email writing when I already have a template folder?
  • Why does AI sometimes say things that sound real but are completely made up?
  • Why does AI sometimes give confident but completely wrong answers?
  • Why do some AI answers feel so human while others feel obviously robotic?
  • Why do educators need to understand how AI works even if they only use it as a tool?
  • Why do different AI tools give different answers to the same question?
  • Why do AI tools keep improving so quickly compared to other software?
  • When should I use Google instead of asking an AI tool?
  • When is it faster to use a traditional tool versus going to AI?
  • What’s the best time of day or workflow moment to start practicing with AI?
  • What types of online courses are most at risk of being replaced by AI?
  • What skills will still be valuable for educators to have in five years given AI?
  • What should I tell my students when they ask me what AI is?
  • What should I not use AI for when I’m just starting out?
  • What should I actually try doing with AI in my first week to get comfortable?
  • What makes AI more useful than a pre-made template library?
  • What is the simplest task I can use AI for right now without any training?
  • What is the one thing about AI that most non-technical educators fundamentally misunderstand?
  • What is the main workflow difference between using AI and using traditional research tools?
  • What is the main advantage of AI over a YouTube tutorial for learning something new?
  • What is the fastest win I can get from AI in my teaching business this week?
  • What is the difference between the web interface for AI and the mobile app?
  • What is the difference between AI and machine learning and automation?
  • What is the case for investing in a community-based teaching model over solo courses?
  • What is the biggest threat AI poses to the online education industry?
  • What is the biggest mistake beginners make in their first week using AI?
  • What is the best AI tool to start with as a complete beginner?
  • What is one thing AI does that no other tool I currently use can match?
  • What is AI in simple terms for someone who isn’t tech-savvy?
  • What is a realistic expectation for what AI can do for me in my first month?
  • What is a prompt and why does wording it carefully matter?
  • What happens if I ask AI a really dumb question — will it judge me?
  • What evidence is there that human educators are thriving even as AI gets better?
  • What does transformation require that AI cannot provide?
  • What does it mean when people say AI was trained on data?
  • What does it mean when an AI has a knowledge cutoff date?
  • What does it mean that AI is a probabilistic tool rather than a deterministic one?
  • What does AI do better than Grammarly for editing my writing?
  • What does a large language model actually do when I type a question into it?
  • What do my students want from me that AI cannot give them?
  • What do human educators offer that AI genuinely cannot replicate?
  • What can AI do that Word and Google Docs can’t?
  • Should I write my prompts like a search query or like a sentence to a person?
  • Should I stop using Google now that AI tools exist?
  • Should I start with the free version of an AI tool or pay for the premium tier?
  • Should I replace my current tools with AI or add AI on top of them?
  • Should I be taking notes on what works and what doesn’t as I experiment with AI?
  • Should I be adding AI features to my course or avoiding them entirely?
  • Is using AI for lesson planning any better than using a Word document outline?
  • Is there a safe way to test AI on real course content without publishing anything?
  • Is there a risk that AI will start giving me personalized answers based on my history?
  • Is the AI I’m using storing my conversations and learning from them?
  • Is personal coaching still worth paying for when AI can give advice instantly?
  • Is live facilitation more or less valuable now that AI exists?
  • Is it naive to build a teaching business right now when AI is advancing so fast?
  • Is fear of AI replacement something I should discuss openly with my students?
  • Is ChatGPT the same thing as AI, or just one type of AI?
  • Is AI just a smarter version of the spellcheck I already use?
  • Is AI better at summarizing documents than reading them myself?
  • If AI can answer any question instantly, why would anyone pay to learn from me?
  • How will I know when I’ve moved from beginner to actually comfortable with AI?
  • How much does AI actually understand context from earlier in a conversation?
  • How long does it typically take to feel comfortable using AI as an educator?
  • How is talking to AI different from searching a forum for answers?
  • How is ChatGPT different from just doing a Google search?
  • How is AI writing different from just using a content template?
  • How is AI different from a search engine like Google?
  • How does human accountability differ from AI-generated feedback?
  • How does an AI chatbot compare to a knowledge base or FAQ system?
  • How does AI handle tasks like scheduling or organizing compared to tools I already have?
  • How does AI handle real-time information compared to tools I already use?
  • How does AI compare to Canva for creating educational visuals?
  • How do I use AI in my teaching in a way that makes my students value me more, not less?
  • How do I talk to potential students about AI without undermining my own value?
  • How do I stay relevant as an educator when my subject matter keeps changing because of AI?
  • How do I sign up for ChatGPT or Claude without doing something wrong?
  • How do I save or organize the AI responses that are actually useful?
  • How do I reframe my value as a teacher in a world where AI knows everything?
  • How do I practice using AI without it interfering with my actual work?
  • How do I know if I am using AI effectively or just wasting time with it?
  • How do I figure out whether the AI output is good enough to use or needs editing?
  • How do I explain to my students or colleagues that I’m starting to use AI?
  • How do I decide which existing tools to keep and which ones AI can replace?
  • How do I build on what AI gives me instead of just accepting whatever it says?
  • How do I avoid the trap of using AI for everything once I discover how powerful it is?
  • How do companies like OpenAI, Google, and Anthropic make money from AI?
  • How confident should I be that an AI answer is accurate before I use it in my teaching?
  • How can I compete with free AI tools that seem to know everything?
  • How are other educators dealing with the anxiety around AI replacing their work?
  • Does AI actually understand what I’m asking, or is it just pattern matching?
  • Can I break something or cause a problem by experimenting with AI?
  • Can AI think for itself, or does it only repeat things it has seen before?
  • Can AI replace the relationship between a mentor and a student?
  • Can AI replace the note-taking apps I already rely on?
  • Can AI make decisions on its own, or does it always need a human prompt?
  • Can AI do things that my existing course platform tools can’t do?
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  • Home
  • Document Library
  • Campus Technical Setup
  • Understanding Activity Feeds: The Heart of Your Study Hall

Understanding Activity Feeds: The Heart of Your Study Hall

James Maduk
Updated on January 21, 2026

Understanding Activity Feeds: The Heart of Your Study Hall

The Activity Feed is the central hub of every Study Hall—where conversations happen, content is shared, and community comes to life. This guide will help you teach your Campus members how Activity Feeds work and how to create engaging spaces.

The Feed is where transformation happens. It’s where members move from passive observers to active participants and peer teachers.


What Is an Activity Feed?

The Activity Feed is the main content stream in a Study Hall displaying all member activity in chronological or algorithmic order. It shows:

  • Member posts and discussions
  • Poll questions and voting
  • Shared media (images, videos, links)
  • Comments and reactions
  • Member milestones and achievements

Teaching Tip for 45+ Audience: Think of the Activity Feed like a Facebook Group timeline or email discussion list—but focused on your specific Study Hall topic. Everything important flows through this central space.


How Activity Feeds Work

Feed Display Options

Your campus platform typically offers multiple ways to display feed content:

1. Recent Activity (Chronological)

  • Shows newest posts first
  • Simple, predictable ordering
  • Great for time-sensitive content and announcements

2. Popular Posts (Engagement-Based)

  • Surfaces posts with most comments and reactions
  • Highlights active conversations
  • Encourages participation on trending topics

3. Recommended (Algorithm-Based)

  • Platform suggests relevant posts based on member interests
  • Balances new content with popular content
  • Helps members discover discussions they might have missed

Campus Map Context: In Phase 3 (Engagement Ecosystem), algorithm-based feeds keep members engaged by surfacing relevant content they might otherwise miss in busy Study Halls.


What Appears in Activity Feeds

Guide members to understand the content types they’ll see:

Standard Posts

Text-based discussions, questions, or announcements. These are the foundation of Study Hall conversation.

Media Posts

Posts with embedded images, videos, GIFs, or other visual content. Higher engagement than text-only posts.

Link Shares

Posts containing external links with auto-generated previews. Great for sharing resources and articles.

Polls

Interactive voting questions. Appear in-feed with voting buttons and real-time results.

Member Announcements

System-generated updates like "New member joined" or "Member achieved milestone" (if enabled).

Pinned Posts

Important posts that Study Hall admins pin to the top of the feed, staying visible above regular content.


Feed Permissions and Visibility

Help members understand who can post and what they can see:

In Public Study Halls:

  • Non-members: Can view all feed content but cannot post or react
  • Members: Can view, post, comment, and react to all content
  • Admins/Moderators: Can manage all content, pin posts, delete as needed

In Private Study Halls:

  • Non-members: Cannot see feed content (see lock screen instead)
  • Members: Full access to view, post, comment, react
  • Admins/Moderators: Full management capabilities

In Secret Study Halls:

  • Non-invited users: Cannot see that the Study Hall exists
  • Invited members: Full access to feed content
  • Admins/Moderators: Full management capabilities

Posting Restrictions

Study Hall owners can restrict posting permissions in Settings:

  • Open Posting: All members can create posts
  • Restricted Posting: Only Admins and Moderators can create posts (members can still comment)

Use Case for Restricted Posting: Announcement-only Study Halls, curated resource libraries, or high-signal communities where quality control matters.


Feed Organization Features

Teach Study Hall owners how to keep feeds organized:

Pinned Posts

Admins and Moderators can pin important posts to the top of the feed:

  • Welcome messages for new members
  • Study Hall guidelines and rules
  • Important announcements
  • Frequently referenced resources

How to Pin: Click the three-dot menu on any post → Select "Pin Post"

Best Practice: Limit to 1-2 pinned posts maximum. Too many pinned posts push regular content down and create clutter.

Post Categories or Tags

Some platforms allow tagging posts with categories:

  • Questions
  • Wins/Celebrations
  • Resources
  • Introductions
  • Feedback

Benefit: Members can filter the feed to see only posts in categories they care about.

Search Functionality

Teach members to use feed search to find:

  • Past discussions on specific topics
  • Posts by specific members
  • Content with specific keywords

Teaching Tip: Archive-minded 45+ members often worry "What if I need to find this later?" Show them the search feature to ease this concern.


Creating an Engaging Activity Feed

Help Study Hall owners build thriving feeds:

1. Post Consistently

Recommended Cadence:

  • New Study Halls: Daily posts for first 2 weeks
  • Growing Study Halls: 3-4 posts per week
  • Mature Study Halls: 2-3 posts per week minimum

Why: Regular posting creates the expectation of activity and trains members to check back frequently.

2. Use Varied Content Types

Mix it up to maintain interest:

  • Questions that invite discussion
  • Polls for quick engagement
  • Resource shares (articles, videos)
  • Celebration posts highlighting member wins
  • Behind-the-scenes content
  • Challenges or prompts

3. Respond to Member Posts

When members post, Study Hall owners should:

  • Respond within 24 hours
  • Ask follow-up questions
  • Thank members for contributing
  • Tag other members who might be interested

Transformation Insight: In Phase 4 (Transformation Engine), owner responsiveness creates psychological safety that enables vulnerable sharing and peer teaching.

4. Encourage Member-to-Member Interaction

The best feeds have members talking to members, not just members talking to the owner:

  • Ask members to help each other
  • Highlight great member comments
  • Create buddy systems or accountability pairs
  • Use @mentions to pull specific members into conversations

5. Set Feed Norms Early

In the first pinned post or About section, establish:

  • What topics are on/off limits
  • How to ask questions effectively
  • Celebration culture vs. complaint culture
  • Response time expectations

Feed Moderation Best Practices

Teach Admins and Moderators how to maintain healthy feeds:

Light-Touch Moderation

Do:

  • Redirect off-topic posts to appropriate Study Halls
  • Remove spam or promotional content
  • Address guideline violations quickly but kindly
  • Edit posts only to fix formatting issues (with permission)

Don’t:

  • Over-police every conversation
  • Delete posts just because you disagree
  • Moderate based on personal preferences vs. guidelines

Handling Conflict in the Feed

When disagreements arise:

  1. Let members work it out if discussion remains respectful
  2. Step in if conversation becomes personal or heated
  3. Remind members of Study Hall guidelines
  4. Move heated discussions to private messages if needed
  5. Remove members who repeatedly violate guidelines

Teaching Tip for 45+ Audience: Compare moderation to hosting a dinner party. You want lively conversation, but you’ll redirect if someone monopolizes discussion or gets inappropriate.


Feed Activity and Campus Transformation

Strategic feed management drives transformation:

Phase 2 (Community Building):

  • Active feeds create sense of life and connection
  • Member posts create belonging and identity
  • Consistent activity reduces "ghost town" perception

Phase 3 (Engagement Ecosystem):

  • Varied content types keep members returning
  • Notifications of new activity drive repeated visits
  • Member-to-member interaction builds retention

Phase 4 (Transformation Engine):

  • Vulnerable sharing in feeds enables peer teaching
  • Celebration posts reinforce progress and wins
  • Question-answer loops transfer knowledge at scale

Common Feed Challenges and Solutions

Challenge: "My feed is dead—no one posts"

Solutions:

  • Post provocative questions, not just announcements
  • Create posting templates for nervous members
  • Recognize and celebrate early posters
  • Start a daily/weekly prompt series
  • Personally invite specific members to contribute

Challenge: "A few members dominate the feed"

Solutions:

  • Privately thank prolific posters, then ask them to create space for others
  • Implement a "No consecutive posting" norm
  • Create specific threads where everyone contributes
  • Highlight and respond enthusiastically to quieter members

Challenge: "Feed moves too fast—members feel overwhelmed"

Solutions:

  • Create weekly digest posts summarizing key discussions
  • Use categories/tags so members can filter
  • Consider splitting into multiple specialized Study Halls
  • Implement themed posting days (Monday Questions, Friday Wins)

Next Steps: Learn how members interact with the Activity Feed in our Activity Feed View Guide.

Need Help? If you have questions about creating engaging Activity Feeds, contact our support team.

campus-setup, fluentcommunity, study-halls, tutorial
Understanding Campus Member Messages in TrainingSitesTutorLMS Integration – Connecting Campus Communications with TutorLMS
Table of Contents
  • Understanding Activity Feeds: The Heart of Your Study Hall
    • What Is an Activity Feed?
    • How Activity Feeds Work
      • Feed Display Options
    • What Appears in Activity Feeds
      • Standard Posts
      • Media Posts
      • Link Shares
      • Polls
      • Member Announcements
      • Pinned Posts
    • Feed Permissions and Visibility
      • In Public Study Halls:
      • In Private Study Halls:
      • In Secret Study Halls:
      • Posting Restrictions
    • Feed Organization Features
      • Pinned Posts
      • Post Categories or Tags
      • Search Functionality
    • Creating an Engaging Activity Feed
      • 1. Post Consistently
      • 2. Use Varied Content Types
      • 3. Respond to Member Posts
      • 4. Encourage Member-to-Member Interaction
      • 5. Set Feed Norms Early
    • Feed Moderation Best Practices
      • Light-Touch Moderation
      • Handling Conflict in the Feed
    • Feed Activity and Campus Transformation
    • Common Feed Challenges and Solutions
      • Challenge: "My feed is dead—no one posts"
      • Challenge: "A few members dominate the feed"
      • Challenge: "Feed moves too fast—members feel overwhelmed"

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