Check out Snagajob's "Top 3 Reasons You Need Machine Learning and Chatbots to Power Your Recruiting" webinar presentation now to learn about how machine learning is here to stay and it can play a critical role to improve how our industry recruits and hires hourly workers.
The webinar explores:
- Changes in the hourly work landscape
- Machine learning basics
- The top 3 reasons you need machine learning
- Improve quality
- Save time
- Hire faster
Top 3 Reasons You Need Machine Learning and Chatbots to Power Your Recruiting
1. Machine Learning & Chatbots
Why you need these to power your recruiting & hiring
2. Agenda
What we will cover today
Intro & hourly work landscape
Machine learning & chatbot basics
Top 3 reasons you need this technology now
Closing
1
2
3
4
4. Dane Schwartz
Senior Manager, Product Marketing
● 4 years at Snag - MidMarket & Enterprise Customers/Products
● Branded my G.I. Joe squad with logos
● First hourly job - lawn mowing business
Hi there 4
5. Vannie Shu
Product Marketing Consultant
● Silicon Valley native - built website at 12
● Serves the small business & worker market here at Snag
● First hourly job - Office Assistant
Hi there 5
6. The hourly market is changing quickly 6
The landscape ahead
Increasing demand
for hourly workers
Decreasing supply
of labor pool
New legislation,
always changing
Workers desiring
more flexibility in
their schedules
7. ● Young, diverse, hopeful
● Millennials & Gen Z
● Aged 16 - 24
● Avg 1-5 yrs work exp.
● Earning her own way
● Clear work values
● Mobile, social, & visual
● 65% applying on mobile
● Expect flexibility
Who are these hourly
workers?
9. Machine Learning
- Relationships
- Patterns
- Dependencies
- Structures
What is machine learning 9
● What is the goal?
○ Enables computers to learn on their own
● How it works?
○ Finds patterns in the data > builds models to explain the world > predicts things without
having explicit pre-programmed rules and models = optimal user experience
Input Data
Information & answers
Output
Optimal experience
10. Common uses of machine learning today 10
Where is it used? Lots of places.
Navigation Email Filtering Recommendations Support
13. 1. Improve your
applicant quality
Explicit job seeker preferences
AND implicit, predictive
variables are used to surface
your job postings to the best fit
job seekers, so you can capture
more high quality applicants.
15. 2. Save time and get
more done
Machine learning can learn from
your preferences and behavior to
help shortlist the best fit
candidates, so you don’t have to
wade through applicants
randomly. Chatbots can help
screen & schedule interviews too.
16. Case Study: Snag Chatbot + Pizza Hut 16
“We finally had people scheduling and showing up for interviews
and we were able to be fully staffed. Thanks to Snag, we’re even
able to loan employees out to other stores who need help. That’s
never been an option in the past.”
~ Franchisee, Muy Pizza (Pizza Hut)
143%increase in scheduled interviews
18. 3. Speed up your time
to hire
Machine Learning technology,
like chatbots, can dramatically
reduce the time needed to fill
positions by making the best
matches early and cutting out
administrative headaches.
20. There are so many options in the hiring technology space
Job Boards > Applicant Tracking Systems > Integrated Hiring Systems > Recruiting Platforms & Recruitment Marketing
21. Job Boards > Applicant Tracking Systems > Integrated Hiring Systems > Recruiting Platforms & Recruitment Marketing
Using hiring software is not enough - you need to be where the workers are
22. Very few of the solutions out there are focused on hourly recruiting and
worker engagement
Job Boards > Applicant Tracking Systems > Integrated Hiring Systems > Recruiting Platforms & Recruitment Marketing
23. Reduce the noise in your hiring
Job Boards > Applicant Tracking Systems > Integrated Hiring Systems > Recruiting Platforms & Recruitment Marketing
24. Job Boards > Applicant Tracking Systems > Integrated Hiring Systems > Recruiting Platforms & Recruitment Marketing
One Recruiting Platform. Not just an ATS.Recruiting Services. Recruitment marketing campaigns.Shifts and flexible work.Snag is a platform connecting workers and employers.
25. A platform for hourly recruiting, hiring and
flexible work
25
CUSTOMIZE RECRUITING
SERVICES
Snag Recruiting Services
Snag Recruiting
Platform
Snag Onboarding
OPTIMIZE SHIFTS
WITH FLEXIBLE WORK
Snag Work
[VANNIE]
Hi . Thanks for joining us for our webinar today. AI, machine learning, chatbots, algorithms, oh my! You’ve heard all these buzzwords, but what does it all mean? Is this a fad or the really the future of recruiting?
Our position is probably easy to see on this screen. We believe machine learning is here to stay and it can play a critical role now, and into the future, to improve how our industry recruits and hires hourly workers.
If you want to learn the basics of what machine learning & chatbots and how you can benefit from this technology today, you’re in the right place.
[DANE]
Our agenda will cover an intro of us and the hourly work landscape, machine learning & chatbot basics, the top 3 reasons you need this technology now, and some closing thoughts.
[DANE]
Let’s get started.
[DANE]
I’m Dane Schwartz….
[VANNIE]
I’m Vannie Shu...
[VANNIE]
We know the hourly market is changing fast..
The demand for hourly workers is high and we’re seeing some of the lowest unemployment numbers in history
There’s always new legislation to stay on top of to make sure you’re compliant
And, workers are demanding from their employers, especially more flexibility in their schedules
[DANE]
Here’s a peek at what our 90 million registered hourly job seekers look like:
[DANE]
First things first, let’s cover the very basics of machine learning & chatbots.
[DANE]
Machine learning is a technology that allows computers to learn on their own.
By finding patterns in observed data, it builds models to explain the world it observes, and can predict things in the future without having explicit pre-programmed rules & models.
[VANNIE]
If you think machine learning is something you never interact with and is some technological concept for the way future, you’d be wrong. Machine learning already powers many everyday things.
Some examples are:
Google Maps & Waze - These technologies learn from commute patterns to recommend the best path
Email - Your email learn patterns from email content & interaction to filter them into spam or particularly categories - like promotions or updates
E-Commerce recommendations - Sites Amazon learn from which products you view or buy to recommend similar items you might like
Support - You may have gotten customer support powered by machine learning & never known it. Chatbots are powered by machine learning and simulate how a human would behave as a conversational partner.
[VANNIE]
Are you thinking about all the other ways you could use this technology yet? Machine learning can be applied across industries and functions to improve how we do work. Here are the top 3 reasons you should use machine learning to power recruiting and hiring right now.
[VANNIE]
#1 Improve quality. Quality is key to landing the right candidate. Who doesn’t hate wading through unqualified applicants to find the needle in the haystack?
[VANNIE]
Machine learning can improve the your quality of applicants by surfacing your job postings to better fit candidates. We can take data like job seekrers’ explicit preferences (things they tell us like location) and implicit preferences, predictive variables (things they don’t tell us, but we learn based on their behavior) to model whether they’re a good fit to apply to your job posting. Our matching algorithm considers stated preferences, revealed preferences, quality/ability based on their profile info of work history, qualifications, assets, and predicted preferences.
This results in better matches for both you and applicants. Improvement in job matching is predicted to lead to happier, more productive employees who are less likely to turnover. According to a recent study of early adopter companies using machine learning recruiting, these companies have seen their cost per screen reduced by 75%, their revenue per employee improve by 4%, and their turnover decrease by 35%.
[DANE]
#2 Save time. Wading through applicants to find the best fit ones to invite to interview can be painful. What if you could save time reviewing applications?
[DANE]
Like an amazing assistant, machine learning can help you save time and get more done. Imagine if you had an assistant that listened to what types of applicants you’re looking for and observed what types of applicants you’ve shortlisted for this role in the past, and then they reviewed all new applicants for your new job posting in seconds to instantly share the best fit ones to schedule interviews with.
Screening resumes and shortlisting candidates to interview is estimated to take 23 hours of a recruiter’s time for a single hire. - let that sink in for a min. 23HOURS - what could you do with 23 more hours in your week?
Machine learning can automate screening and repetitive tasks to potentially cut that time to nearly 0. Chatbots, like ours, can help you source, screen candidates faster and manage interview scheduling for you.
[DANE]
When a Pizza Hut location started using our chatbot to schedule interviews with candidates, they saw a 143% increase in schedule interviews! That franchisee said…. [read quote]
[VANNIE]
#3 is Hire faster. Closely related to saving time on office tasks, machine learning can help accelerate the whole process so you get to a hire faster.
[VANNIE]
Who doesn’t wish they could find the perfect match for an open role faster? Filling roles with great hires fast can be critical to keep your business growing. Companies that consistently succeed at hiring the best candidates have a huge leg up over their competition.
Because machine learning helps improve the quality of matches between an applicant and business, as well as saving you time in screening and scheduling, this technology can dramatically speed up your time to hire.
[DANE]
So, we’ve just looked at what machine learning is and how it can improve the quality of your applicants, save you time, and help you hire faster. This technology is here to stay and will revolutize recruiting and hiring faster and faster as it gets more advanced. Machine learning technology isn’t easy to build overnight, it can take a lot of time and resources. Here at Snag we’ve invested in developing out machine learning solutions early. Our large team of data scientists and engineers are dedicated to continuously innovating how machine learning can be applied to make your life easier.
[DANE]
There’s a lot of hiring technology companies out there...
[DANE]
But you need to be where the workers are...
[DANE]
And not just any workers, you want to be where the hourly workers are engaged..
[DANE]
[silence]
[DANE]
And that’s why we’re here. We’re Snag. The only hourly recruitment platform.
[DANE]
Here’s a peak at what we do…
XYZ Dane explains the slide, VS - I don’t know how to write notes for this wheel
[DANE]
Thanks for joining us today! For more information visit at XYZ