Dashboard

Live operating view for one core question: what is the target market actually talking about, and what deserves attention?

Start A Listening Run

Set up a workspace for any business, then let the engine move from broad topic to golden nuggets.

New entry flow
Business / Workspace
Franhaven
Broad Topic
Franchise buying and ownership diligence
Generated Search Direction
buyer questions, owner complaints, franchise support, FDD, Item 19, working capital, territory, semi-absentee, validation calls
Data Points
300 usable public rows
Platforms
Reddit YouTube Forums Reviews TikTok
Filter
Include real buyer/owner language. Exclude spam, promo, duplicates, private groups without permission, and claims without context.
1. Website entry 2. Broad topic 3. Keywords 4. Data + platforms 5. Filter 6. Run search 7. Organize + score 8. Golden nuggets

Market Listening Engine

Collect raw conversations, organize them by signal strength, then translate them into what to build, sell, say, or test.

Listener -> Organizer -> Translator
Listener
People are testing support claims after the sale
Raw Reddit, YouTube, forum, and review conversations reveal the actual language people use before Franhaven talks to them.
Open raw data
Organizer
Support proof is a repeated trust gap
The pipeline tags speaker stage, subject, emotion, intensity, specificity, commercial usefulness, and signal strength.
Open signals
Translator
Support Proof Scorecard
The interpreted read becomes buyer questions, validation calls, FAQ copy, and a comparison rubric.
Open reads
Output
Decisions based on market language
Messaging, product, content, sales, and experiments move from gut feel to current audience evidence.
Open actions
Listener
Owners discuss survivability, not just revenue
Source conversations expose what buyers, owners, former owners, and advisors are already saying in public.
Open raw data
Organizer
Cash pressure clusters across owner-stage comments
The system separates one-off noise from repeated, specific, commercially useful patterns.
Open signals
Translator
Owner Cash-Flow Stress Test
The insight becomes a calculator/checklist that pressure-tests royalties, debt service, payroll, marketing fees, and working capital.
Open reads
Output
Prioritized opportunity map
The final product is an interpreted map of what the audience is thinking, saying, fearing, comparing, and asking.
Open actions
Sprint Progress
72%
Collection done; synthesis and action mapping active
Pipeline Stage
Briefing
Evidence collected; market reads and action mapping active
Evidence Target
300
Sprint 001 collection goal
Evidence Ready
300
Approved rows after spam and relevance filtering

Listening Run Pipeline

Changes per business
1. Sprint Brief Loaded
Stable brief and configuration are separated into Workspace and Workspace Settings.
Built
100%
Open stable workspace brief
2. Query Configuration
Approved keywords, excluded terms, source priorities, and output goals are set in Workspace Settings.
Built
100%
Open workspace settings
3. Listener
Collect raw conversations with source URL, platform, source type, date, and text. No interpretation at capture.
Collected
100%
Open evidence inbox
4. Organizer
Normalize and score comments by speaker, stage, subject, emotion, intensity, specificity, commercial usefulness, and cluster strength.
Active
70%
Open signal map
5. Translator
Surface what is rising, contradictory, high priority, and worth turning into messaging, product, content, sales, or experiments.
Next
35%
Next: prioritize actions by value, confidence, evidence strength, and strategic fit

Evidence Mix

Sprint 001
Reddit 289 usable rows across Reddit, concentrated in business/franchise/finance/legal communities after QC.
YouTube 11 usable public YouTube comments retained after filtering out low-signal reactions and promotional comments.
TikTok Queued for next collection pass once synthesis gaps are identified.
Facebook Queued; private groups require manual permission-aware collection.
LinkedIn Queued for professional-owner and advisor language.
Forums Queued for deeper operational complaints and financing threads.

Evidence Inbox

Open all evidence
Loading source rows...

Next Actions

Today queue
  • Convert strongest support/cash-flow insights into a buyer due diligence checklist.
  • Use exact language patterns for FAQ copy and objection-handling scripts.
  • Score reads by value, signal strength, actionability, and strategic fit.
  • Create ad/content angles from high-intensity objections and post-purchase reality gaps.
  • Add owner, status, due date, and asset link fields for each action item.
  • Push approved actions into a task board once priorities are set.

Synthesis Focus

Active buckets
  • Pain: what people struggle with repeatedly.
  • Desire: what people are trying to get.
  • Obstacle: what prevents action.
  • Misconception: what they believe incorrectly or incompletely.
  • Trust Gap: what they doubt or need proof for.
  • Opportunity: product, content, offer, workflow, or tooling gaps.