Operations Dashboard

Snapshot for the consumer insight mining system and Franchise Buyer Research Sprint 001.

Updated: May 9, 2026 · Owner: Liam / Atlas · View Dataset
Active Projects
3
System, schema, and first research sprint
Sprint Stage
Collecting
Reddit starter batch captured
Comment Target
300
First sprint sample target
Collected
75
25% of 300-comment target; 68 comment rows

Project Snapshot

Current operating view
Consumer Insight Mining System
Reusable SOP for mining comments into buyer objections, hooks, copy, content ideas, and product feedback.
Built
100%
File: consumer-insight-mining-sop.md
Research Database Schema
Six-table structure for sprints, raw comments, clusters, nuggets, marketing outputs, and test results.
Built
100%
File: consumer-insight-mining-schema.md
Franchise Buyer Research Sprint 001
Focus: prospective franchise buyers, post-purchase owner reality, due diligence behavior, objections, and owner regrets. First 75 rows collected, with comment-level data prioritized.
Collecting
42%
File: franchise-buyer-research-sprint-001.md
Raw Comment Collection
75 Reddit-backed rows captured, including 68 comment-level rows. Next checkpoint is 100 comments before formal clustering.
Active
25%
Data: public/data/franchise-buyer-raw-comments-sprint-001.csv

Source Mix

Sprint 001
Reddit Blunt objections, regret, due diligence questions, owner warnings.
YouTube Long-form comments under franchise reviews, lawyers, financing, and owner journeys.
TikTok Fast emotional reactions, passive income skepticism, and simple buyer language.
Facebook Owner-group pain around staffing, support, cash flow, and day-to-day operations.
LinkedIn Current-owner comments, broker narratives, and professional buyer framing.
Forums Deeper operational complaints, franchisee support issues, and financing threads.

Raw Comment Feed

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Next Actions

Operational queue
  • Create the first raw comment table or CSV using the schema fields.
  • Expand Reddit collection from 75 to 100 comment-first rows before formal clustering.
  • Separate each comment into buyer-stage or owner-stage before deeper tagging.
  • Cluster the first 100 comments into objections, hidden costs, regret, support, cash flow, and due diligence themes.
  • Extract golden nuggets and convert them into content, FAQ, landing page, and sales-call assets.

Milestones

Sprint checkpoints
  • SOP and schema created.
  • Franchise buyer sprint brief created.
  • Collect first 75-100 raw comments. Current: 75.
  • Reach 300 comments and complete first clustering pass.
  • Publish sprint report and marketing output queue.