Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics in ecommerce
    Analytics Technology Drives Conversions for Your eCommerce Site
    5 Min Read
    CRM Analytics
    CRM Analytics Helps Content Creators Develop an Edge in a Saturated Market
    5 Min Read
    data analytics and commerce media
    Leveraging Commerce Media & Data Analytics in Ecommerce
    8 Min Read
    big data in healthcare
    Leveraging Big Data and Analytics to Enhance Patient-Centered Care
    5 Min Read
    instagram visibility
    Data Analytics Plays a Key Role in Improving Instagram Visibility
    7 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: Technology Training Needs a Hands-On Approach
Share
Notification Show More
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Data Management > Best Practices > Technology Training Needs a Hands-On Approach
AnalyticsBest PracticesCommentaryExclusiveKnowledge ManagementRisk ManagementSoftware

Technology Training Needs a Hands-On Approach

paulbarsch
Last updated: March 4, 2014 4:55 am
paulbarsch
5 Min Read
Image
SHARE

Image

Image

Many technology companies begin training by handing employees binders of technical manuals, topics and user guides.  Employees are expected to plow through reams of text and diagrams to learn what they need to know to succeed on the job. Instead of just a “core dump” of manuals and online training courses, technical employees should also get “hands on” simulations, boot camps and courses led by advanced robo-instructors to fully hit the ground running.

It’s generally accepted there are two types of knowledge; theoretical knowledge learned via reading books, whitepapers, and other types of documents (also known as classroom knowledge) and experiential knowledge (learning by doing a specific task or involvement in daily activities).

More Read

“While touring IBM’s Innovation lab at Lotusphere last…

The R-Files: Paul Teetor
4 Best Practices for Sharing Workforce Data: Publishing Core Reports
Interview: Karl Rexer – Rexer Analytics
Business Analytics Optimization Keynote #iod11

All too often, technology employees coming onto the job on day one, are either handed a tome or two to assimilate, or given a long list of pre-recorded webinars to understand the company’s technology, competitive positioning and go-to-market strategies. In best case scenarios, technology employees are given a week of instructor led training and possibly some role-playing exercises.  However, there is a better way.

A Financial Times article titled “Do it Like a Software Developer” explores new approaches in terms of training and learning for technology companies of all sizes.  Facebook, for example, offers application development new hires 1-2 days of coursework and then turns them loose on adding new features to a new or existing software program.  In teams of 30-60, new hires are encouraged to work together to add features and present results to business sponsors at the end of the first week of employment. New hires get hands-on and “real life” experience of how to work in teams to achieve specific business results.

Even better, Netflix has a rogue program called “Chaos Monkey” that keeps new and existing application developers on their toes. This program’s purpose is to intentionally and randomly disable systems that keep Netflix’s streaming system running. Employees then scramble to discover what’s going wrong and make necessary adjustments. According to the FT article, Chaos Monkey is only let loose on weekdays when lots of developers are around and there is relatively light streaming traffic. Netflix believes if left alone, the streaming service will break-down anyway, so isn’t it better to keep it optimized by having armies of employees scouring for trouble-spots?

Simulations, fire-drills, and real life boot camps should supplement book knowledge for technology companies looking to make new-hires fully productive. But of course, such events are often considered a luxury for companies with limited training budgets, or a need to get employees on the job as soon as possible. All too often, however, employees will learn one-way or another. And mistakes are then made on the customer’s dime. Is it not better to have new employees learn in a safe, controlled “non-production” environment where mistakes can be monitored and quickly corrected by mentors and instructors?”

“Hands-on” training and learning activities are not only for application developers. With available and coming Artificial Intelligence (AI) technologies, it’s feasible for “robo-instructors” to guide technology sales employees through customer sales calls via an online interface (with more than canned responses based on rudimentary decision trees).  Or new-hire technology marketing professionals could design a campaign along with a feasible budget for a new product line and present results to business sponsors or be graded by an advanced algorithm. The possibilities for a more robust and experiential training program for technology associates are endless.

At my first job in Silicon Valley—working for a cable modem company—I was handed five thick and heavy technical manuals on day-one. No instructor led, online training or mentoring. It was sink or swim, and many employees (me included) sank to the bottom of the ocean floor.  

While these types of lackluster training events at tech companies might be more exception than rule, there’s an opportunity for increased new-hire productivity and job satisfaction. What’s required is a different mindset towards additional training investment and more focus on ingrained learning through experience and daily immersion of activities rather than a book knowledge cram course.

TAGGED:risky business
Share This Article
Facebook Twitter Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

trusted data management
The Future of Trusted Data Management: Striking a Balance between AI and Human Collaboration
Artificial Intelligence Big Data Data Management
data analytics in ecommerce
Analytics Technology Drives Conversions for Your eCommerce Site
Analytics Exclusive
data grids in big data apps
Best Practices for Integrating Data Grids into Data-Intensive Apps
Big Data Exclusive
AI helps create discord server bots
AI-Driven Discord Bots Can Track Server Stats
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Image
AnalyticsBig DataCommentaryCulture/LeadershipExclusiveHadoopSocial Data

Too Much Big Data, Too Few Big Ideas

5 Min Read
Image
Cloud ComputingCommentaryExclusive

Debunking Five Cloud Computing Myths

6 Min Read
Image
Cloud ComputingCommentaryExclusiveHardwareIT

When is CAPEX Coming Back?

4 Min Read
Image
Best PracticesBig DataCloud ComputingCommentaryCulture/LeadershipData WarehousingExclusiveHadoopITUnstructured Data

Changing Your Mind About Big Data Isn’t Dumb

6 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-24 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?