Our mock pitch/investor deck for a fictional product.
Combining machine learning and the HR industry, we aimed to build an application that would have machines rate your interviews, and eliminate the first stage of the hiring process.
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Claire Mock Pitch Deck
1.
2. The Problem
$4,0001
Spent per job opening
The recruitment industry is costly
52 Days2
To fill a job opening
99%3
Candidates go through multi-
interview processes
Interviews are inefficient
Jobs are harder to get Interviews are biased Career coaching avg =$161/hr4
3. The Solution
Recruitment & Coaching platform using A.I.
Recruiting
Machine learning + Big data
Eliminate preliminary recruiting,
Save time & money.
Artificial Intelligence
Accelerate AI development.
Help machines understand
humans.
Coaching and Learning with Artificial Intelligence,
for Recruitment and Employment
Coaching
Practice people skills with a
machine - Democratize speech
and career coaching.
4. The Tech
Use of existing APIs to feed our platform.
Psychometric assessment & industry relevant analytics
5. Market Size
$27 bn
Recruiting Services in
US & Canada
$2.79 bn
Online
Recruiting
$906 m
Students
Employment & Recruiting
Industry in the US & Canada
(IBISWorld, 2016)
7. Revenue Model
Businesses:
Students: Freemium Model $20/month
subscription
Standard
$1999/year
3 Successful Hires
Save $10,000 on job
seeking!
Advanced
$4999/year
10 Successful Hires
Save $35,000 on job
seeking!
Enterprise
Contact us!
+10 Successful Hires
Save over $40,000
8. Milestones
Y1Q1 Y1Q2 Y1Q3 Y1Q4 Y2Q1 Y2Q2 Y2Q3 Y2Q4 Y3Q1 Y3Q2 Y3Q3 Y3Q4
May 2018
Close Beta Release
April 2017
Minimum Viable
Product MVP
July 2019
Open Beta Release and
Key Hire (AI Expert)
December 2021
Product Launch
November 2020
Marketing Venture,
release big update
10. The Team
Recruitment & Coaching through A.I.
Pierre R.
AI Applications
Transhumanist
Chair TEDxUofT
UofT - Bachelor of
Arts
Sheridan College -
Digital
Communications
Yara A.
PR/Account
Manager
UofT - Bachelor of
Arts
Sheridan College -
Digital
Communications
Mayda A.
Data Analyst
UofT - Bachelor of
Arts
Sheridan College -
Digital
Communications
Sabrina S.
Full Stack Dev.
Tech Evangelist
Research Analyst
UofT - Bachelor of
Arts
Sheridan College
Sho C.
Front End UI/UX
UofT - Bachelor of
Arts
Sheridan College -
Digital
Communications
Laura H.
HR Recruitment
Expert
UofT - Bachelor of
Arts
Sheridan College -
Digital
Communications
David L.
Market &
Marketing Expert
Communication in
Economy &
Society - Bachelor
of Arts
11. Funding
We’re looking for 12 month financing to create our
coaching service, and recruitment foundation.
$400K
Angel Round
Initial investment opportunity
12. Exit
No matter what
Further our understanding of the inevitable
The Human x A.I. Landscape
Become part of the larger social network recruitment
landscape (ie. LinkedIn, Indeed.com)
AI Quarterly M&A History
14. References
1 $4000 avg. spent on filling position
http://marketing.bersin.com/talent-acquisition-factbook-2015.htm
2 52 Days average to fill job opening
http://marketing.bersin.com/talent-acquisition-factbook-2015.htm
3 99% Job offers given after at more than a single interview
http://www.mrinetwork.com/media/303951/recruiter_sentiment_study_1st_half_2016.pdf
4 $161/session average for career coaching
http://www.cnn.com/2009/LIVING/worklife/11/11/career.coach.jobs/index.html?iref=24hours
Notas del editor
50s
1:10
Claire uses facial recognition, and speech to text API available by Microsoft to develop a quantitative analysis of interviewer.
These Microsoft Cognitive Services allow an analysis of emotions, speech quality, fit, etc.
From a recruiter’s standpoint, the recruiters’s ability provide feedback to the software and make Claire learn by providing more accurate filtering is the beauty of Machine Learning technology.
40s
30s
We are locking these students in with a freemium model. So when they start to fall in love and grow with Claire, they will pass it on to their friends and family.
We expect a stagger 8% conversion rate to the $20 premium.
This valuable database will be packed up as an information good and sold to companies on a pay-per-use model. Important to know, we will only be charging companies per successful hires.
MVP: for Students. Learn.
Close beta: fix bugs and generate media buzz.
Open Beta: Invite more people to test out CLaire and get feedback.
Marketing Venture: Invest $ on advertising and market research.
Product Launch: Agile Approach will prepare claire for launching the fill version.
Now, let’s talk numbers and let’s talk realistic sets of revenue projection.
We are confident that in year 3 we will break even with the release of public beta.
Even though in year 1 we were bootstrap in order to release our MVP, in year four, we expect to continuously grow our marketing ventures in order to release the full version of Claire in year 5 at a $5.2 million profit.
This astonishing hockey stick curve proves the exponential revenue growth opportunities in this technology.
15s
25s
Student centre and partnering with them as a stream for revenue could be an additional marketing strategy from an enterprise point of view