TeamFit is a leader in the application of AI, machine learning, semantic inference and natural language processing to skill and expertise management. We use these to automate skill profiles, uncover potential and predict performance. Our mission is to uncover human potential and help people find the projects where they can have the most impact.

1. Find the people with the skills
you need to drive innovation
The TeamFit Vision
steven.forth@teamfit.co
OCTOBER 2017

2. Skills drive innovation
at knowledge-based companies
TEAMFIT MAKES SKILLS VISIBLE – SEARCHABLE – CONNECTED
Move to skill-based team building and allocation to:
• Accelerate innovaton
• Win more projects
• Increase utilization
• Improve consultant engagement
• Support better project outcomes

3. Executive summary
TeamFit is a leader in the application of AI, machine learning, semantic inference and natural
language processing to skill and expertise management. We use these to automate skill
profiles, uncover potential and predict performance.
Our mission is to uncover human potential and help people find the projects
where they can have the most impact.
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4. Our mission at TeamFit is to uncover human potential and to help
people find the projects where they can have the most impact.
Over the next decade, expertise management will emerge as the central enabling technology for
knowledge based workers. It will be how individuals take control of and manage their own careers,
how teams come together and how organizations find the people they need to soar.
This goes beyond skills. These systems will integrate many types of data to give people a deep
understanding of their current and potential abilities. They will be used to build resilient and dynamic
project teams that can anticipate change.
TeamFit goes beyond simpler, static platforms used for recruiting and internal hiring in slower-
velocity industries. With TeamFit, expertise management becomes a daily action that creates a
dynamic marketplace for expertise exchange and collaboration.
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5. Realizing this vision requires the fusion of social interaction with artificial
intelligence and big data. The expertise management experience will become part
of the fabric of how we work and will be present in all of our communication and
collaboration tools.
• Big data and artificial intelligence to automate profile creation and team building and
allocations.
• Social interactions to build understanding of skills and engagement between people.
• Visualizations and interactions to make skills come alive for people and help them to see
how skills, people and projects are connected.
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6. Company background
A core team who have worked together for more than a decade
on enabling human potential
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7. TeamFit is the culmination of a decade of work
by the core team.
Learning and talent management (Amar, Steven)
Knowledge management (Karen, Lee, Steven)
Social collaboration (David, Karen, Lee, Steven)
Cross-cultural learning (David, Gregory, Karen, N-Q)
We bring together expertise in artificial intelligence and data
visualization with leadership experience at strategy consulting
and systems integration firms.
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8. TeamFit was established in 2013 to build a team messaging and collaboration
platform. In late 2015, we decided to solve the more important challenge of
understanding people’s skills and experience to build better teams.
For the past two years, we have been building the TeamFit platform, conducting
surveys on critical areas of skill development such as Design Thinking, Digital
Transformation and The Internet of Things, and building the TeamFit Skill Graph.
See the TeamFit Skill Map
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9. Leadership background
Combining experience in AI, data visualization
and business consulting with a passion for human performance
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10. Steven Forth
CEO & CO-FOUNDER
Steven works closely with our customers to
understand how they use skill management to deliver
on their business goals. His main job is to take these
insights and work with the team to develop the
solutions that support high-performance teams. He
combines experience in growing early-stage
companies (Agreement Express & LeveragePoint)
with high-level strategy consulting (Monitor-Deloitte).
Steven’s TeamFit Skill Map
Lee Iverson, Ph.D.
CTO
Lee builds intelligence into our systems. He has a
Ph.D. in computer vision from McGill University and
worked at SRI International in Palo Alto from 1993 to
2001. For the past decade, he has focussed on
collaborative work, privacy and security. Lee makes
sure that our systems get smarter as people use
them.
Lee’s TeamFit Skill Map
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11. Karen Chiang
COO
Karen drives the TeamFit team to ever-higher levels
of execution. She brings close to 20 years of
management experience in the technology sector with
over 20 years in the solution consulting and
enterprise B2B software. Having direct experience of
the challenges people in these industries face, she is
determined to help them to solve them. She has a
keen interest in high performance teams and
promoting leadership within them.
Karen’s TeamFit Skill Map
Gregory Ronczewski
DIRECTOR OF PRODUCT DESIGN
With over 25 years of multidisciplinary design
experience, Gregory brings simplicity to user
interaction. By applying a Service Design approach,
Gregory specifically looks at experiences and
emotions that are often neglected but have profound
impact on decisions. He has a Masters Degree in
Architecture and second Masters in Design. He is a
Professional Member of Service Design Network and
a Certified Graphic Designer by The Society of
Graphic Designers of Canada.
Gregory’s TeamFit Skill Map
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12. Rogerio Moreno
VP INTERNAIONAL SALES
Roger is responsible for Worldwide Enterprise Sales.
He engages with senior level stakeholders to provide
insight and knowledge, by challenging the
conventional thinking on how to get the best out of
teams and people. He brings to TeamFit close to 25
years of multi-faceted experience leading sales and
delivery of premium talent management, contact
center and networking solutions to Major Global
Accounts.
Roger’s TeamFit Skill Map
David Botta Ph.D.
DATA VISULIZATION
David is a conceptual artist with extensive experience
in computer graphics, animation, and development for
interaction at both personal and group levels. He
leads TeamFit’s data analysis and visualization work.
His Ph.D. in interactive art and design from Simon
Fraser University included design of category
systems and discourse analysis.
David’s TeamFit Skill Map
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13. What are the essentials of your solution?
Built for Consultants – Team Builders – Executives
Solution Architecture – Core Modules – Roadmap
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14. For Consultants
Represent Expertise, Signal Interests, Get Found
Consultants use TeamFit to represent their skills and expertise so that they can get found for
projects and signal their core skills and target skills (the skills the consultant wants to develop).
Expertise is assessed by a wide variety of evidence, including automated evaluation of evidence,
social ratings by team members, management assessments and self-assessments. These
generate a SkillRank for each skill. The SkillRank algorithm is an adaptive Bayesian network that
constantly updates its estimate of expertise and its confidence in that estimate.
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15. TeamFit encourages consultants to share the highlights of their career.
This helps consultants tell their own story and makes for a more engaging
experience.
Steven Forth Highlights Gregory Ronczewski Highlights
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16. For Team Builders
Find People, Build Teams, Manage Utilization, See Availability
Team Builders, be they practice leaders, resource managers and allocators or project managers,
use TeamFit to build teams. The Team Builder module lets them define the roles and skills
needed for projects and then find the best people to fill that role.
Advanced Search makes it easy to filter by expertise, location, availability, mobility and other
relevant variables. Our Skill Inference technology allows you to drop in unstructured text and have
TeamFit construct an advanced search for you.
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17. Availability and mobility tracking.
This makes it easy for consultants
to report availability and their
willingness to travel or even to
relocate.
This can then be used as a search filter to
find people who are available with certain
skills or who can go to a specific location.
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18. For Executives
Understand Skill and Expertise Trends, Find Skill Gaps, Take Action
Leaders at professional services companies need to be able to see
into the future.
TeamFit gives insight into how skills in the organization are being used,
the trace skills that often drive differentiation, and the emergent skills that will be needed in the
future.
With these insights, leaders can guide the conversation on what expertise needs to be
developed, how it can be applied and can see where skill gaps may be emerging so that action
can be taken.
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19. TeamFit is designing dashboards that will
give the most actionable insights for
business, practice and talent leaders.
With TeamFit companies will be able to quantify
the value of specific skills, to right-size expertise
to project needs, and to redeploy higher skills
where they can create the most value and
innovation.
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20. TeamFit’s Core Technologies
Skill Inference: An AI using Natural Language Processing, concept extraction and semantic
inference to process résumés, project records, patents, publications and other unstructured
content to infer skills. TeamFit relies on the richness of the Skill Graph for accuracy and
completeness.
Skill Graph: TeamFit’s proprietary data model and the data in it. It is an RDF graph connecting
skills to other skills, to people, to projects and to roles. The Skill Graph grows everyday, helping
TeamFit to get smarter.
Skill Visualization: The data in the Skill Graph can be visualized in many different ways, one of
which is the skill map. Other visualizations are being developed.
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21. Skill Recommendation: A system to uncover
potential skills of consultants. It is used to
suggest skills to individuals and skills for roles
and projects.
Under Development: A way to combine
project outcome data with the Skill Graph to
predict project success; advanced analytics to
identify and visualize clusters of skills used
together, similar skills, people and projects, and
other ways to see how things are the same and
where they are different.
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22. Value-Adds Included in the Subscription
Deepening understanding of skills
We share regular updates on skills and expertise management and our development plans with
corporate subscribers.
We also include monthly analysis reports as part of the subscription or for an additional fee,
depending on the scope of the report and the size of the subscription.
Skill curation is an important part of our after-sales service. As skills are added, we make sure our
categorization system has categorized them and mapped them correctly and that the skill
relationships are meaningful (parent skills, child skills, associated skills, complementary skills).
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23. Solution architecture
BROWSER SERVER
AngularJS
https
Ruby on Rails
MySQL
MongoDB
Redis
USER PROJECT
COMPANY
SKILLS
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24. Core modules
Résumés
Project Records
Publications
Endorsement
Certification
Education
…
Others being
tested
Slack
Asana
Basecamp
Wrike
PLANNED
Jira
Saleforce
Talentsoft
Google Jobs
FUTURE
LMS (Cornerstone)
Other CRM
Other PM
Other HRIS
TeamFit
AI &
Semantic
Inference
Skill Graph
External Skill
Evidence
Integration &
External APIs
External AIs
Watson, Wordnet.
Other being tested.
SKILLRANK ROLEMATCH TEAMMATCH
SEARCH TEAMBUILDER
Skill
Recommendation
Skill Suggestion
Social Rating
Skill MapVisualizations Dashboards
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25. TeamFit Skill Graph
IMPLIES
IMPLIED BY
TeamFit’s data model expressed in RDF allows reasoning and semantic inference about skills and
their relations.
Future
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Role
Person Project
Outcomes
Parent SkillParent Skill
Associated Skill
Child SkillChild Skill
Complementary
Skill
Skill

26. The role of big data and AI
Automate Profiles – Uncover Potential – Predict Performance – Optimize
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27. TeamFit is a leader in the application of artificial intelligence, machine
learning, semantic inference and natural language processing to skill and
expertise management. We are using these to automate profile updating,
uncover potential and predict performance.
Automate skill and project records
Our first goal is to automate as much as possible the process of creating and updating skill and
expertise profile. These profiles are most valuable when kept current, and a variety of data
integrations plus Skill Inference and Skill Recommendation empower this. Automation encourages
engagement and social interactions.
Uncover potential
Our larger goal is to use big data and AI to uncover potential at the individual, team and
organizational levels. Here, we will identify skills and combinations of skills that the organization
needs and that people have or that they could learn easily.
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28. Predict performance
The next step is to predict performance so that actions can be taken early to increase the
probability of success. This combines machine learning and predictive analytics to find the patterns
that predict success or failure. Leaders can then make interventions to deal with issues before
they become severe.
Optimization of teams
Finally, we want to be able to optimize teams. It is important to balance the level of skills and
expertise on a team with the importance of the project and its goals, the budget and the timeline.
Optimization of a single team is relatively easy; optimization of allocation across multiple teams is
not. This is a problem that TeamFit is working to solve.
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29. Approach to UX
Simplicity of Use – Ease of Understanding
through service design thinking
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30. Simplicity and ease of understanding
to support ease of use.
Business software has to be as easy to use and engaging as popular
consumer applications. This is our design goal.
Our design process is based on service design. We look at end-to-end
interactions by all users of the system and make sure there is value
created at each step and for each user. Consultants will not use TeamFit if
it is not valuable for them. Leaders will not encourage use if it is not giving
them insights.
TeamFit practices responsive design and tests across browsers and
devices.
Accessibility is also a goal. Here we will follow the W3C
standards:https://www.w3.org/standards/webdesign/accessibility
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31. Approach to data visualization
Surface insights from the Skill Graph that support action
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32. Visualizations should provide insights
that lead to action.
TeamFit collects and organizes a great deal
of data in the Skill Graph. The goal of our visualizations is to
express this data in a way
that provides insights that can lead to action.
There are a number of standard visualizations used at
different levels of scale: Skill Maps apply to individuals,
projects, business units and the entire organization. We will
also be making them available for geographies, industries
and other slices through the data.
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33. Visualizations should be
customizable for the user.
TeamFit dashboards are simple data
visualizations that summarize the key facts,
then let the user go deeper to explore the data
in depth. In 2018, each user will be able to
customize their dashboards by choosing the
most relevant cards.
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34. Each card will show a small piece of
relevant data. Cards will include:
• Skill trends – what skills are being searched
for and used on projects
• Skill distributions – where are skills
concentrated, how is this changing
• Project requirements – what skills are
needed for upcoming projects
• Expertise levels – what level of expertise do
people have
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35. Visualizations should reveal the truth of the data.
Data can be tricky. It is easy to misunderstand data as complex as skill
and expertise information. Our goal at TeamFit is to go deep into the data to show what is really
happening.
For example, the average level of a skill is not that meaningful. One also needs to know the
distribution. Is the distribution skewed left, meaning that there is a concentration of learners and
only a few highly skilled people, or does it skew right, indicating that there are many highly
skilled people and only a few learners? We have also seen bi-modal distributions where there is
a group of experts and a group of learners. Each distribution represents a different situation that
an average would not provide.
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36. Approach to
gamification and user engagement?
Build habit-forming software
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37. Habit forming software has a standard pattern
that we have coded into TeamFit.
• External and internal cues trigger an action
• The action leads to a reward
• The user invests in the system
• The investments trigger further actions
(See Nir Eyal Hooked)
TeamFit has been designed with a full set of cues
(e-mails, in app notifications for skill suggestions, skill
endorsements, project invitations) that trigger actions
(claim a skill, rate a skill, suggest a skill, search for a skill
or person) that lead to rewards (expertise requests,
project invitations) leaving the user with an investment in
their profile.
Cues Actions
RewardsInvestment
• E-Mails
• Notifications
• Skill
Suggestions
• Project
Invitations
• Claim Skill
• Rate Skill
• Suggest Skill
• Search
• Badges
• Expertise
Requests
• Recognition
• Profile
• Skill Map
• Social Network
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38. Gamification depends on competition, recognition and reward
Comparisons
People love to compare things, especially themselves with others. TeamFit will make it easy to
compare people, project, skills and to see what is the same and what is different. This is a great
motivator as people will want to have profiles and skill maps that stand out.
Badges for recognition and reward
One way to provide recognition and reward is through badges. A custom set of can be
developed based on the Open Badges model. IBM has been successful with this approach.
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Sample
IBM Badges

39. More about
skill and expertise management
The ROI
The Future of Work
Skill Trends
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40. More on skills and expertise management
TeamFit carries out ongoing research on skill and expertise management and shares the
results on our blog and in white papers and other publications.
The ROI on Skill and Expertise Management
The Future of Work
Skill Trends
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41. Contact
TeamFit HQ
Suite 1200, 555 West Hastings St.
Vancouver BC Canada
V6B 4N6
W: http://hq.teamfit.co
E: info@teamfit.co
T: +1 (415) 799-TEAM (8326)
Steven Forth
E: steven.forth@teamfit.co
T: +1 (604) 763 7397
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