2. Managers, and HR of
tech and design companies
with innovative teams.
IDEAL CLIENT PROFILE (B2B)
3. • No Referee for team spats
• No way to objectively assess
unfair idea-challenges
• Team members avoid
challenging ideas
THE PROBLEM
4. THE SOLUTION
Create an AI powered referee toolkit to
objectively assess unfair idea-challenges
Intervention
Charter
Agreement
3-Step
Objection
Application
Spatz AI Data
for Machine
Learning
Democratic
Peer-Review
Network
5. How the Spatz App &
Intervention Works
Acknowledge
Acceptable Apology
Simple Apology
Minor SPATS…
…DISPUTES…
…CONFLICTS
6. UNIQUE TEAM PSYCHOLOGY
1. Objecting vs. disagreeing in teams.
2. Research based effects of unresolved spats (micro-conflicts) on teams.
3. The downside of dogmatic language in teams.
4. Democratic inclusion of the least powerful voices in teams.
5. Consistent accountability for minor misbehavior in teams.
OUR SPECIAL SAUCE OF UNDERSTANDING THE FOLLOWING…
7. FINDING & CONVERTING LEADS
• Promote our future research pilot results.
• Create plugins for team Atlassian, Slack & Scrum
• Product demos, free trials, and personalized outreach.
• Using online channels like LinkedIn
• Also leveraging offline HR networking and referrals.
• Use recruitment sites like Seek to get business leads
8. 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.
9. WHY I AM BACKABLE
• 20 years of research, to be commercial by mid 2024.
• Self-published 2012 book, 760 blog posts, 50 journals.
(Rethink Perfect - The upside of uncertainty & the art of moderating our own disputes)
• Trained product designer – industrial designer.
• Tech experience – co-founder of two a successful startups:
• Tripcover.me Insurance AU & NZ, $1M previous annual sales, 12 years
• Co-founder of Bonzah.com Insurance USA with $1M annual sales, 7 years
10. TRACTION & RESULTS
• MVP consisting of a 3-page messaging webpages.
• The SpatzAI Peer 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.
11. HOW MUCH MONEY
• $50K to $100K
WHAT WE WILL DO WITH IT
• Complete MVP,
• Run a pilot of some 100 participants.
With 50 Spatz AI users and 50 control group.
• Contracting AI data specialist and psych researcher.
• More fully develop the App and network plugin.
12. 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.
Powering bold idea-sharing
in teams, spat by spat.