You know that feeling when you want to say something about someone's behavior, but you're too afraid you'll say the wrong thing? We've designed an early intervention toolkit & platform for team members to use when one feels someone has offended them.
Tech Framework Integrated Workspace Management System
SpatzAI - early intervention toolkit and platformprotecting team members speaking up
1. des@spatz.ai | spatz.ai & spatzai.com | Desmond Sherlock
SpatzAI - early intervention toolkit and platform
protecting team members speaking up
2. OUR VISION
Radically improve team collaboration by
sufficiently protecting members
from micro-conflicts during
disagreements.
“Psychological safety is an
atmosphere where one can take
chances……….without fear and with
sufficient protection.“
[Edgar Schein & Warren Bennis 1965 – Psychological Safety - Wikipedia]
3. OUR MISSION
Create a data-driven
intervention toolkit
& platform to
resolve team spats
(micro-conflicts).
“Build a culture of stopping to fix
problems to get the quality right
the first time.“
The fifth principle of
the Toyota Way
4. Minor infractions are
too small to make an
official complaint
MICRO-
CONFLICT
If no procedure to tackle
minor conflict, we tend to
“let it go” & gossip later
INSUFFICIENT
PROTECTIONS
Unchecked, misconduct
& gossip can continue to
escalate to toxic conflict
SPATS CAN
ESCALATE
THE PROBLEM
Micro-conflict Behavior in Teams
5. THE SOLUTION
Intervention Toolkit to Resolve Micro-conflicts
Intervention
Charter
Agreement
3-Step
Application
Data Collection
for Machine
Learning
Peer
Review
Network
6. Team members agree when offended, one can verbally
caution the team member. If the caution is acknowledged
they move on…
If the caution is challenged or ignored, she can use
the Spatz 3-Step App to document and resolve their
1. Spat and 2. Dispute
Unresolved 3. Conflicts are automatically posted on the
Spatz Peer-review Network, to be reviewed.
HOW IT WORKS
or
or or and
post
Caution…
7. The SpatzAI app will collate, monitor and measure the data from the team Spats, Disputes, and
Conflicts. The AI machine learns from the real-world data, comparing the team’s Spatz data with
the team’s overall work performance.
SPATZ AI & ML DATA
TEAM ‘XYZ’ WEEKLY OFFICIAL SPATZ DATA:
*Illustrative/speculative data only
0 NETWORK VOTES 0 Resolved
1 CONFLICTS 1 Resolved
30 DISPUTES 29 Resolved
300 SPATS 270 Resolved
8. Our initial focus is proving the concept with some teams within
the an organization. All participating team members will form
the SpatzAI Peer-review Network.
OUR MARKET – B2B
9. *1 MONTH FREE TRIAL
BUSINESS MODEL - B2B
USERS
4,500
$70,000
SAAS COST TO COMPANIES
$500/MONTH (up to 400 users)
$19/MONTH/TEAM (up to 10 users)
$500,000
25,000
1ST YEAR 2ND YEAR
Cost per user $22.80 per year
Cost per user $15 per year
SME
PLAN
CORPORATE
PLAN
400
4000
REVENUE
USERS
10. Desmond Sherlock
Co-founder of Tripcover.au (AU 10 years)
Co-founder of Pablow Inc. (USA 6 years)
Industrial Designer
Author of: Rethink Perfect - and the Art of
Moderating Our Own Disputes. (2012)
THE TEAM
Psychology Research Assistant AI & ML Data Scientist
To Be Announced To Be Announced
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.