SpatsAI - A Referee toolkit to resolve spats in teams
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This document proposes the SpatzAI Referee Toolkit to help resolve unfair disputes in innovative teams. The toolkit includes a team charter agreement, an AI assistant called SpatzAI to analyze team data and assist in reviews, and a classification system for different types of disputes from minor "spats" to more serious conflicts. It details how the system would work, the potential market size and benefits. The author is seeking $50k-$100k in funding to complete an MVP and pilot program to test the toolkit with 100 participants.
SpatsAI - A Referee toolkit to resolve spats in teams
- 1. A referee toolkit to resolve spats in teams
- 2. Managers, and HR of technology and design companies with innovative teams. IDEAL CLIENT PROFILE B2B
- 3. Feel burned out by unfair idea-challenges? Tired of the loudest voice usually winning and wondering: Finally, when it’s too quiet, you worry: THE PROBLEM… …UNFAIR PLAY LEADS TO UNCERTAINTY
- 4. THE SOLUTION… Standard Team Charter Agreement 3-Step App SpatzAI Agent Team Data Analysis Team Assisted Review Platform ...SPATZAI REFEREE TOOKIT TO RESOLVE ANY UNFAIR PLAY
- 5. How the SpatzAI Referee Toolkit Works Acknowledge Acceptable Apology Simple Apology Minor SPATS… …DISPUTES… …CONFLICTS
- 6. #4 (Network) VOTE #3 (Official) STOP #2 (Official) OBJECTION #1 (Official) CAUTION #0 (Verbal) CAUTION 3012 SPATZ COMPARITIVE DATA EXAMPLE OF PILOT: *Illustrative/speculative data for a healthy team of 100 members in 1 week 1 NETWORK 1 Resolved 5 CONFLICTS 4 Resolved 43 DISPUTES 38 Resolved 353 SPATS 310 Resolved 2659 Resolved SPATZ AI LLM DATA (LARGE LANGUAGE MODEL)
- 7. MARKET SIZE (TAM) • 500,000 tech companies in the USA alone. • 5 million tech employees. • TAM at $2 per team member, per month. • $120 million per year.
- 8. WHY I AM BACKABLE • Researched for 20 years, commercial by late 2024. • Published book in 2012, “Rethink Perfect - The upside of uncertainty & the art of moderating our own disputes” • 760 blog posts, 50 journals. • Product designer – industrial designer. • Tech experience – co-founder of two a successful startups: • Tripcover.me Insurance AU & NZ, $1M previously in annual sales - 12 years • Co-founder of Bonzah.com Insurance USA with $1M annual sales - 7 years
- 9. TRACTION & RESULTS • MVP consisting of a 3-page messaging webpages. • The SpatzAI Team Review Network, website and brand. • The SpatzAI charter agreement, LLM algorithm. • Five guiding principles (see Unique Team Psychology). • The SpatzAI manual and anecdotal testing and feedback.
- 10. HOW MUCH MONEY • $50K to $100K WHAT WE WILL DO WITH IT • Complete MVP, • Run a pilot of some 100 participants. With 50 SpatzAI users and 50 control group. • Contracting AI data specialist and psych researcher. • More fully develop the App and network plugin.
- 11. Contact: Desmond Sherlock Website: Spatz.ai Email: des@spatz.ai Blog: Object123.com Linkedin: linkedin.com/in/tripcover Disclaimer: The information contained in this pitch is speculative and needs to be tested and should only be used in agreement with all team members. Thanks for watching our presentation. A referee toolkit to resolve spats in teams