Food Scan Genius
Social Media & Community Operations Manual
Building trust, one conversation at a time.
1. Introduction to Food Scan Genius
Food Scan Genius is an AI-powered shopping companion that helps people make safer,
clearer, and more confident food choices.
We serve people who:
- Live with food sensitivities or allergies
- Follow dietary or religious food rules
- Care about food safety, ingredients, and sustainability
- Are tired of guessing what’s “safe” or “right”
Important:
Food Scan Genius is not a content brand.
It is a trust brand.
Social media exists to build confidence, not chase reach.
Food Scan Genius is not a content brand.
It is a trust brand.
Social media exists to build confidence, not chase reach.
2. Objectives of Growth, Marketing & Community
Primary Objective
Build trusted micro-communities around food sensitivities, dietary preferences,
and food safety — leading naturally to app downloads and long-term subscriptions.
Secondary Objectives
- Reduce confusion and misinformation around ingredients
- Represent Food Scan Genius as calm, evidence-based, and human
- Surface real user language to inform product and content decisions
What we are NOT optimizing for:
Virality, follower counts, posting frequency, or trends.
Virality, follower counts, posting frequency, or trends.
3. Team Structure (2-Person Model)
Role 1: Large-Market Trust Lead
- Gluten Sensitivity
- Milk Sensitivity
- Peanut Sensitivity
- Vegan
- Vegetarian
- Egg, Tree Nut, Sesame Sensitivities
Role 2: Rules, Safety & Ethics Lead
- Halal
- Jain
- Keto Friendly
- Low FODMAP
- No Red Meat
- Organic, Additives, GMO, Safety Topics
- Product Recalls & Sustainability Labels
Each person owns their labels across all platforms.
Voice consistency matters more than platform optimization.
Voice consistency matters more than platform optimization.
4. Roles & Responsibilities
- Monitor conversations related to assigned labels daily
- Respond with clarity, empathy, and restraint
- Correct misinformation without shaming
- Introduce Food Scan Genius only when helpful
- Track recurring questions and emotional triggers
- Escalate safety-critical issues immediately
5. KPIs & Success Metrics
| Metric | Weekly Target (Per Person) |
|---|---|
| Meaningful Replies | 120–200 |
| Multi-turn Conversations | 20–35 |
| Reply-back Rate | 30–50% |
| Profile Clicks | 40–100 |
| Organic App Downloads | 50–150 / month |
If replies are high but reply-back is low, trust is not forming.
6. A Day in the Life
Morning (60–90 min)
- Scan overnight conversations
- Reply to high-emotion or safety-related threads first
- Log recurring questions mentally
Midday (30–45 min)
- Deeper replies to longer threads
- Follow up on yesterday’s conversations
Evening (30 min)
- Final replies
- Update Google Sheet
- Capture insights while fresh
7. Daily 30-Minute Morning Check-in
Format: Stand-up, no slides.
- What label conversations stood out yesterday?
- Any safety or misinformation issues?
- Any question you struggled to answer?
- Any language users keep repeating?
The goal is alignment, not reporting.
8. Daily Google Sheet (Required)
| Date | Label | Platform | # Replies | # Conversations | Key Insight / Quote |
|---|---|---|---|---|---|
| YYYY-MM-DD | Gluten | X | 28 | 6 | “Didn’t realize barley mattered too.” |
This sheet is reviewed weekly by the founder.
9. How to Do Well in This Role
- Use the user’s language, not industry language
- Answer the question behind the question
- Never sound alarmist or dismissive
- Say “it depends” when it truly does
- Be useful even if it doesn’t lead to a download
10. What “Great” Looks Like
Users start recognizing you.
They reply back.
They tag you in threads.
They say “this helped.”
They trust you before they download.
They reply back.
They tag you in threads.
They say “this helped.”
They trust you before they download.
When this happens consistently, growth becomes inevitable.
