SpatzAI - A workplace toolkit to resolve micro-conflicts in teams

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The document proposes a 3-step messaging app and peer review network called Spatz to resolve minor conflicts, referred to as "micro-conflicts", in teams before they escalate. The app would allow team members to acknowledge, apologize for, and accept apologies for minor disputes through a structured messaging process. An AI system would also monitor messaging data to predict team performance and success. A business model is outlined to offer the Spatz system to companies as a SaaS tool to help manage team dynamics and prevent larger conflicts.

des@spatz.ai | spatz.ai | Desmond Sherlock
A Workplace Toolkit to
Resolve Micro-conflicts in Teams

To fairly resolve minor misbehavior
& spats in teams before they spiral
into more harmful conflicts.
Create an AI-powered, messaging
app, and democratic peer network
to resolve micro-conflicts in teams.
VISION & MISSION
Vision
Mission

Unresolved minor
spats in teams
escalating into
harmful conflicts.
1.SPAT
2.DISPUTE
3.CONFLICT
THE PROBLEM

THE SOLUTION
Nip minor misbehavior and spats in the bud,
before they can escalate into harmful conflicts.
Intervention
Charter
Agreement
3-Step
Messaging
Application
Data Collection
for SpatzAI
Machine Learning
Peer
Review
Network

The Spatz one-on-one, 3-step
messaging app and peer
review network
Acknowledgement
Required
Apology
Required
Acceptable Apology
Required
HOW IT WORKS

• Collates and monitors the real-time data.
• Compare team’s Spatz data with work performance.
• More accurately predict team’s success or failure.
SPATZ AI & ML DATA
PREDICTIVE DATA EXAMPLE OF PILOT:
*Illustrative/speculative data for a team of 100 members in 1 week
0 NETWORK 0 Resolved
1 CONFLICTS 1 Resolved
30 DISPUTES 29 Resolved
300 SPATZ 270 Resolved
2700 Resolved
#4. VOTES
#3. STOPS
#2. OBJECTIONS
#1. CAUTIONS
#0. (Verbal)CAUTIONS 3000 SPATS

BUSINESS MODEL - B2B
USERS
60,000
$480,000
SaaS COST TO COMPANIES
$2,880,000
1ST YEAR 2ND YEAR
PLAN A 10,000
REVENUE
USERS
30,000
*$4 /MONTH/USER
Cost per user $48 per year
PLAN B
5,000
Access to team Spatz data
PLAN TYPE COST
*$2 /MONTH/USER
Cost per user $24 per year
*Does not include cost of Slack Network use
# First month FREE trial

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 SPATZ TEAM
Psychology Research Assistant AI & ML Data Scientist
To Be Announced To Be Announced

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 or AGI.
Thanks for watching
our presentation.

The document presents a proposal for an AI-powered messaging app and peer review network called Spatz to resolve minor conflicts, referred to as "micro-conflicts", in teams before they escalate. The solution involves a 3-step messaging app that would require acknowledgment, apologies, and acceptable apologies to resolve disputes. A peer review network would also collect and monitor real-time data to predict team success and failure. A business model is proposed where companies could pay $4 or $2 per user per month for access to the app and data respectively. The founder has experience in dispute moderation and previous startup ventures.

SpatzAI A workplace toolkit to resolve micro-conflicts in teams

Desmond Sherlock

This document presents a proposal for an AI-powered messaging app and peer network called Spatz that aims to monitor and resolve minor conflicts, referred to as "micro-conflicts", in teams before they escalate. The system would use a three-step messaging process and machine learning to identify, intervene in, and resolve disputes and spats. It would provide analytics on conflict data to predict team success. A business model is proposed where companies pay $4-8 per user per month for access to the Spatz system and data insights. The founder has experience in dispute mediation and previous startup ventures.

Spatz.AI - A workplace toolkit to resolve micro-conflicts in teams

Desmond Sherlock

The document proposes an AI-powered messaging app and peer network called Spatz to monitor and resolve micro-conflicts in teams before they escalate into larger issues. The app would use a 3-step process of acknowledgement, required apology, and required acceptance of apology. Data from disputes would be collected and analyzed using machine learning to predict team success and failure. A business model is proposed where companies pay $4 or $2 per user per month for the service.

Spatz.AI - A workplace toolkit to resolve micro-conflicts in teams

Desmond Sherlock

The document presents a proposal for an AI-powered messaging app and peer network called Spatz that aims to monitor and resolve minor conflicts, referred to as "micro-conflicts", in teams before they escalate into more serious issues. The system would use a three-step messaging process and machine learning to identify, acknowledge, and resolve disputes and conflicts. It outlines the problem of unresolved micro-conflicts leading to larger issues, as well as a business model where companies could pay a monthly fee per user to access the Spatz monitoring and resolution services.

SpatzAI A workplace toolkit to resolve micro-conflicts in teams

Desmond Sherlock

Spatz.AI - A workplace toolkit to resolve micro-conflicts in teams

Desmond Sherlock

The document proposes an AI-powered messaging app and peer review network called Spatz to resolve minor conflicts, or "micro-conflicts", in teams before they escalate. Spatz would use a 3-step messaging process and democratic peer review to resolve disputes and prevent further escalation. It would also collect and analyze usage data using machine learning to predict team success and identify potential problems. The business model involves a SaaS model charging companies $4-48 per user annually for access to Spatz to resolve micro-conflicts in their teams.

Spatz.AI - A workplace toolkit to resolve micro-conflicts in teams

Desmond Sherlock

The document proposes creating an AI-powered toolkit called Spatz to address, monitor, and resolve micro-conflicts in teams in real-time. The toolkit would use a 3-step app and peer review network to nip minor misbehavior or disputes between teammates in the bud before they escalate into harmful conflicts. It outlines the problem, solution, how the toolkit would work using machine learning on collected data, and potential business models for offering the toolkit as a SaaS product to companies.

SpatzAI - A workplace toolkit to resolve micro-conflicts in teams

Desmond Sherlock

This document presents a proposal for Spatz, an AI-powered messaging app and democratic peer network designed to resolve minor conflicts ("spats") in teams before they escalate. The problem is that unresolved spats can escalate into more harmful conflicts. The solution is a 3-step messaging app and peer review process to acknowledge, require apologies, and get acceptance of apologies. Data from real-time use would be collected and analyzed to predict team success. The business model involves charging companies $4-8 per user per month via a SaaS model. The founder has experience in startup ventures and conflict resolution.

This document presents a proposal for an AI-powered toolkit called Spatz to monitor and resolve micro-conflicts, or "spats", in teams in real-time before they escalate. The toolkit would use a 3-step messaging app and peer review network, collecting data to predict team success. It outlines the problem of unresolved minor conflicts leading to larger issues. The business model suggests charging $2-4 per user per month for teams to access Spatz data and resolution services. The founder has experience in dispute mediation and previous startup ventures.

Spatz.AI - A workplace toolkit to resolve micro-conflicts in teams

Desmond Sherlock

This document presents a proposal for Spatz, an AI-powered toolkit to address, monitor, and resolve micro-conflicts in teams in real-time before they escalate into harmful conflicts. The toolkit would use a 3-step messaging app and peer review network to nip minor misbehavior in the bud. It would collect and analyze messaging data using machine learning to predict team success and resolve disputes. A business model is proposed where companies could access the service for $2-4 per user per month.

Spatz.AI - A workplace toolkit to resolve micro-conflicts in teams

Desmond Sherlock

The document proposes a one-on-one app and peer network called Spatz to address and resolve minor conflicts in teams before they escalate. Spatz would use a 3-step process within the app and collect data from peer reviews to monitor conflicts. This data would then be analyzed using machine learning to predict team success and issues. A business model is proposed where companies pay $4-48 per user annually for access to Spatz services.

Spatz.AI - A workplace toolkit to resolve micro-conflicts in teams

Desmond Sherlock

This document presents a proposal for Spatz, an AI-powered toolkit to address, monitor, and resolve micro-conflicts, or "spats", in teams in real-time before they escalate into harmful conflicts. The toolkit would use a 3-step messaging app and peer review network, applying machine learning to collect and analyze spat data from teams to predict their success or failure. It outlines plans for monetizing Spatz as a B2B SaaS product, with the founder having experience in startup businesses and conflict resolution.

Spatz.AI - A workplace toolkit to resolve micro-conflicts in teams

Desmond Sherlock

This document presents a proposal for Spatz, an AI-powered messaging app and peer network designed to resolve minor conflicts ("spats") in teams before they escalate. It would use a 3-step messaging process and democratic peer review to acknowledge issues, require apologies, and get agreement on resolutions. The system would collect anonymous usage data to analyze team performance and predict success or failure. It outlines plans for a B2B SaaS business model charging $2-4 per user per month. The founder has experience in startup businesses and conflict resolution.

Spatz.AI - A workplace toolkit to resolve micro-conflicts in team

Desmond Sherlock

Spatz.AI - A workplace toolkit to resolve micro-conflicts in teams

Desmond Sherlock

The document proposes a one-on-one app and peer network called Spatz to address and resolve minor conflicts in teams before they escalate. Spatz would use a 3-step process within the app and a peer review network to acknowledge issues, require apologies, and get acceptance of apologies. It would collect data through the process to monitor conflicts and disputes within teams and use machine learning to predict team success or failure. The business model suggests charging companies $4-8 per user per month to access Spatz for their teams.

Spatz.AI - A workplace toolkit to resolve micro-conflicts in teams

Desmond Sherlock

The document proposes an AI-powered toolkit called Spatz to address, monitor, and resolve micro-conflicts in teams in real-time before they escalate into harmful conflicts. Spatz would use a 3-step messaging app and peer review network to acknowledge issues, require apologies, and get acceptance of apologies to nip minor misbehavior in the bud. It would collect and analyze usage data using machine learning to predict team success and resolve micro-conflicts like disputes, objections, and cautions. The business model involves a SaaS model charging $4-8 per user per month with plans to acquire 10,000-30,000 users in the first two years.

Spatz.AI - A workplace toolkit to resolve micro-conflicts in teams

Desmond Sherlock

One-on-one app & peer network to resolve micro-conflicts in teams before they escalate further. The Spatz app uses a 3-step process and peer review network to address, monitor, and resolve minor issues. It collects data through the process to predict team success and failure through monitoring real-time data and comparing to work performance. The business model is a B2B SaaS model charging $4-8 per user per month depending on plan type and access to team data.

Spatz.AI - A workplace toolkit to resolve micro-conflicts in teams

Desmond Sherlock

One-on-one app & peer network called Spatz aims to resolve micro-conflicts in teams before they escalate. It uses a 3-step process through a messaging app and peer review network to acknowledge, require apologies for, and get acceptance of apologies for minor conflicts like spats. Data on conflicts is collected and analyzed using machine learning to predict team success and monitor resolution of disputes, cautions, objections, and spats over time. The founder has experience in travel insurance and has authored a book on moderating disputes. Revenue plans charge $4-8 per user per month for teams to access the app and data.

One-on-one app & peer network to resolve micro-conflicts in teams

Desmond Sherlock

One-on-one app & peer network called Spatz aims to resolve micro-conflicts in teams before they escalate. It uses a 3-step process within the app and a peer review network to address, monitor, and resolve minor issues like spats. The AI-powered solution collects data to predict team success and failure. It plans to generate revenue of $2.88 million in the first year under a SaaS business model charging $4-8 per user per month.

Spatz.AI - A workplace toolkit to resolve micro-conflicts in team

Desmond Sherlock

Spatz.ai is developing an AI-powered toolkit to monitor and resolve micro-conflicts in real-time. The toolkit includes a 3-step messaging app and peer review network to address issues like minor misbehavior before they escalate into harmful conflicts. By analyzing data on interactions within teams, the toolkit aims to help predict a team's success or failure and provide insights to investors and organizations. The business model involves charging companies a monthly fee per user to access the toolkit and data insights.

Spatz.AI - A workplace toolkit to resolve micro-conflicts in team

Desmond Sherlock

Spatz.ai is developing an AI-powered toolkit to monitor and resolve micro-conflicts in real-time before they escalate. The toolkit includes a 3-step messaging app and peer review network to address issues like objections, cautions and disputes. By analyzing data on conflicts and their resolutions, the system can predict team success and provide cost-saving benefits to companies over allowing conflicts to worsen. It will use a business model of monthly subscription fees per user, with plans for individual team access or access to aggregated anonymous data.

Spatz.AI - A workplace toolkit to resolve micro-conflicts in team

Desmond Sherlock

Spatz.ai is developing an AI-powered toolkit to monitor and resolve micro-conflicts in real-time before they escalate. The toolkit includes a 3-step messaging app and peer review network to address issues like objections, cautions and disputes. By collecting data on team interactions, the system can predict team success or failure and provide insights to investors. The founders aim to launch the toolkit as a B2B SaaS product, charging $2-4 per user per month. They expect to gain 10,000-30,000 users in the first two years, generating $480,000-$2.88 million in annual recurring revenue.

Spatz.AI - A workplace toolkit to resolve micro-conflicts in team

Desmond Sherlock

The document proposes an AI-powered toolkit called SpatzAI to monitor and resolve micro-conflicts in teams in real-time. The toolkit would use a 3-step messaging app and peer review network to address issues before they escalate. It would collect messaging data to train machine learning models to better predict team success or failure and resolve disputes automatically. The founders aim to launch the toolkit as a B2B SaaS product charging $4-8 per user per month.

Spatz.AI - A workplace toolkit to resolve micro-conflicts in team

Desmond Sherlock

Desmond Sherlock proposes creating an AI-powered toolkit called SpatzAI to resolve micro-conflicts in teams in real-time. The toolkit would use a 3-step messaging app and peer-review network to monitor for minor misbehavior between team members and resolve issues before they escalate. By analyzing the data collected on team conflicts and resolutions, SpatzAI could help predict a team's success or failure. The business model involves charging companies a monthly fee per user to access the SpatzAI software and data insights.

SpatzAI: A real-time Intervention app and platform for resolving spats in teams

Desmond Sherlock

SpatzAI is an AI-driven intervention app and platform to resolve small conflicts ("spats") in teams before they escalate. The app allows team members to document issues through a 3-step process. Unresolved disputes are posted for peer review. Data from resolved conflicts helps machine learning to predict team success. The business model involves charging companies per user per month for access to analyze Spatz data and resolve workplace conflicts. The founder has experience in startups and industrial design and aims to become the global standard for resolving micro-conflicts in teams.

SpatzAI: An intervention app & platform for resolving spats in teams

Desmond Sherlock

SpatzAI is an intervention app and platform that aims to resolve "spats" or micro-conflicts in teams before they escalate. The app allows team members to document spats using a 3-step process and have disputes reviewed by peers on the Spatz network. By collecting and analyzing spat data using machine learning, the platform can predict a team's success by monitoring resolved vs. unresolved conflicts over time. The founders envision SpatzAI becoming the global standard for resolving micro-conflicts in a way that is currently lacking in teams. They plan to generate revenue by offering the platform to companies either for free with limited access, or a paid subscription plan that provides more features and access to spat resolution data.

SpatzAI: A real-time Intervention app & platform to manage rudeness & bias in...

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SpatzAI is a proposed AI-driven intervention platform and app to resolve minor problematic behavior in teams before it escalates into toxic conflicts. It would provide a 3-step application for documenting issues, as well as a peer review network to resolve unaddressed conflicts. The goal is to become the global default platform for handling such minor disputes in organizations. It would collect data on team disputes and measure success, with the founders having relevant experience in business, design, and research. A business model of free basic use or paid access to data is proposed.

SpatzAI - A referee toolkit to resolve unfair play in teams

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The document describes a proposed referee toolkit called SpatzAI that uses artificial intelligence to help resolve disputes and conflicts within teams in a fair manner. It analyzes team data and interactions to identify potential issues. When issues arise, it facilitates a review process with the team to achieve resolution. The goal is to create a psychologically safe environment where team members feel comfortable collaborating without fear. It also provides market sizing information, details on how the solution works, and a request for funding to further develop the minimum viable product.

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The document proposes a referee toolkit called SpatzAI to address unfair play in teams. It consists of a team charter agreement, a 3-step app with an AI agent for team data analysis, and a team review platform. The toolkit aims to create psychological safety for teams by acknowledging and resolving disputes, conflicts and issues in a protected way without fear of repercussions. It provides examples of how the toolkit could work and analyze team data, as well as the potential market size and need for such a solution given the number of technology companies and employees. Funding of $50-100k is requested to complete an MVP and pilot the solution with test groups to gather feedback.

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