Workspace

Stable project context for Franhaven. This page should only change when the research brief, audience, or business question changes.

Workspace
Franhaven

Franchise buyer intelligence: what prospective buyers ask, misunderstand, compare, fear, and validate before buying, plus what owners say after signing.

Topic Universe: Franchise Buying Audience: Franchise Buyers Mode: Stable Brief
Workspace Goal

Turn public conversation into evidence-backed acquisition, product, content, sales, and diligence opportunities for the franchise buyer market.

1. Website Entry
Choose the business
Each company gets its own workspace, broad topic, source plan, filters, and output queue.
2. Search Setup
Topic -> keywords
The broad topic generates keyword sets, exclusions, platform choices, and collection targets.
3. Processing
Organize and score
Raw conversations become structured signals by speaker, stage, subject, emotion, intensity, specificity, and commercial usefulness.
4. Output
Insights
The translator surfaces the highest-value patterns, contradictions, language, objections, and repeated questions.
Mission
Clarity
Explain franchise buying reality with evidence.
Audience
Buyers
Prospects, owners, former owners, advisors.
Decision
Diligence
Help buyers ask better questions before signing.
Output
Assets
Education, sales, product, and content tools.

Research Brief

Stable

Business Question

What is the target market actually talking about?

Target Audience

Prospective franchise buyers, current franchisees, former franchisees, advisors, and operators discussing diligence and ownership reality.

Decision Output

A prioritized, interpreted map of what the audience is thinking, saying, fearing, comparing, and asking.

Evidence Sources

Reddit, YouTube, TikTok, review sites, forums, owner groups, LinkedIn, and other public conversation sources.

Workspace Pipeline

Listener -> Organizer -> Translator
ListenerCollect raw conversations from Reddit, YouTube, forums, reviews, and other public sources. Store raw text, source URL, platform, date, and source type.
OrganizerNormalize each row into structured signal: speaker, stage, subject, emotion, intensity, specificity, commercial usefulness, score, and cluster.
TranslatorSurface what is rising, contradictory, high priority, and worth attention.
OutputsPrioritized insights, repeated language, objections, questions, comparisons, trust gaps, and proof trails.