This document proposes a toolkit called SpatzAI to help protect creative team members from unfair criticism that stifles innovation. The problem is that some team members are reluctant to share radical solutions due to "browbeating naysayers". The toolkit uses data and AI to predict team success and includes tools like an objection charter and democratic peer review. The goal is to test the toolkit on 10 teams with 100 people to develop the product and validate the approach before marketing it to tech companies. $50,000 is being requested to fund the pilot program.

1. Protecting workplace teams
from minor browbeating naysayers

2. Managers, and HR of
tech companies using
creative design, and
innovative teams.
IDEAL CLIENT
PROFILE (B2B)

3. THE PROBLEM
Team members being
reluctant to speak up
with their radical solutions
due to the lack of protection
from unfair naysaying from
browbeaters.
“Erk!! That’ll never work!!”
*ironically, I get this a lot ☺

4. THE PRODUCT - TOOLKIT
We’re building a toolkit (see below), for resolving spats caused by
minor browbeating. The real-world data and AI allowing companies
to more accurately predict their team’s future success or failure.
Intervention
Charter
Agreement
3-Step
Objection
Application
Data Collection
for SpatzAI
Machine Learning
Democratic
Peer-Review
Network

5. OUR UNIQUE PSYCHOLOGY
OUR (SPECIAL SAUCE) UNDERSTANDING OF…
1. …how objecting differs from disagreeing in conversations.
2. …how objecting differs from complaining in conversations.
3. …why resolve spats (micro-conflicts) before they escalate.
(existing research evidence proving this in design teams)
4. …the upside of uncertainty and the role absolute dogmatic language
plays in paralysing teamwork and creativity.
5. …how to democratically include the least powerful voice in teams.
6. …how to fairly hold team members to account for any misbehavior.

6. FINDING & CONVERTING LEADS
• Use the successful data from the research pilot to
promote Spatz to the B2B world of innovative tech teams.
• Includes product demonstrations, free trials, and
personalized outreach.
• Using online channels like LinkedIn, while also
leveraging offline networking and referrals.
• Creating plugins for team operators like Atlassian,
Slack and Scrum groups.

7. MARKET SIZE (TAM)
• 500,000 tech companies in the USA alone
• 5 million tech employees.
• TAM at $2 per team member user per month
• $120 million per year.

8. WHY I AM BACKABLE
My dogged determination.
• Working on this business concept for some 20 years
and determined to be completed within 2 years.
• Self-published a book on the subject in 2012
(Rethink Perfect – the upside of uncertainty and the
art of moderating our own disputes).
• Posted some 760 blog posts, 50 personal journals.
• Trained as a product designer – industrial design.
• My tech skills include creating an insurance category
and brand for Allianz Australia and New Zealand called Tripcover.
• Developing, managing, and running Tripcover from scratch, for the
last 10 years, reaching $1 Million in sales per year (pre covid).

9. TRACTION & RESULTS
• MVP consisting of a 3-page objection messaging app.
• The Spatz AI Slack network.
• Website and Spatz brand development.
• The Spatz AI charter agreement.
• The Spatz AI conflict algorithm for predicting a team’s
success or failure.
• Six guiding principles (see Our Unique Psychology).
• The Spatz AI manual.

10. HOW MUCH MONEY
• $50,000
WHAT WE WILL DO WITH IT
• Run a pilot of some 10 creative teams consisting of some 100
participants for 1 month.
With 50 members using SpatzAI and 50 as the control group.
• Contracting an AI data specialist and psych. research assistant.
• 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.