We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Management Lessons from the In-N-Out Burger
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > Management Lessons from the In-N-Out Burger
Uncategorized

Management Lessons from the In-N-Out Burger

PhilSimon
PhilSimon
6 Min Read
Management Lessons from the In-N-Out Burger
Illustrative image generated with OpenAI gpt-image-1.
SHARE

I read two books on my recent trip to Las Vegas and Arizona. I reviewed Planet Google recently and I was going to review Stacy Perman’s In-N-Out Burger. Color me lazy, but I didn’t want to do a proper review for a few reasons:

  • I like to stay remotely on point in my blog.
  • I don’t have many insightful analyses to offer. It’s a great read. End of story.

Rather than review it, I figured that I’d take a different tack. I’d like to draw a few IT project management lessons from the storied burger chain that has achieved a legendary cult following since its inception. Here we go…

Lesson #1: Keep it Simple

In-N-Out founders Esther and  Harry Snyder (and later their son Rich) never deviated from their core mission: to provide quality food in a clean environment with spectacular customer service. That’s it.

More Read

Most Swans are White: Living in a Predictive Society
Most Swans are White: Living in a Predictive Society
Social Media for Authors, Questions from the Teleseminar Part 2
Economist Research: Decision-Making in Turbulent Times
Is This the Biggest Big Data Company You Have Never Heard of?
6 Crucial Data Security Lessons the U.S. Can Learn from Other Countries

Parallels

Yes, IT projects tend to be fundamentally more complex than flipping burgers. I should know, I did my nine months at McDonald’s in Wyckoff, NJ, as teenager. However, it’s important to keep in mind that most IT projects have a simple purpose, such as:

  • to pay employees
  • to track inventory
  • to improve communications
  • to secure the organization

Much like the Snyders, it’s important for management to keep the project’s purpose at the forefront throughout the duration of the project. Some might call this project sponsorship. Remaining true to a mission is a good general rule of thumb. Unfortunately, it’s all too often compromised by internal politics, bickering, rivalries, and the like.

Lesson #2: Keep your customers and employees happy

The Snyders didn’t skimp on things such as employee pay, staffing levels, or internal opportunities for advancement. What’s more, In-N-Out cultivated an egalitarian culture in the workplace, even requiring that everyone wear the same uniforms.

Parallels

No, I’m not advocating that database administrators and CIOs all wear the same outfits. However, there’s something to be said for treating everyone with respect on a project, including external folks such as consultants. While times may be tight, CIOs and PMs need to staff projects with sufficient resources. Consider this: it’s hard to simultaneously flip burgers, watch the fries, and mop the floor. Imagine the difficulties with setting up and testing network security on a new system while concurrently doing your day job. Multitasking has its limits.

Lesson #3: Start small and expand cautiously

While other fast food chains such as McDonald’s, Burger King, and their ilk attempted to get as big as possible as fast as possible, In-N-Out took its time. (Note that publicly traded companies face pressures that the privately held In-N-Out Burger did not.) Perman describes how In-N-Out grew at a rate of about ten to fifteen stores per year, carefully selecting locations based on a number of factors. In other words, In-N-Out was the anti-McDonald’s, refusing to put a franchise in each conceivable spot. Translation: In-N-Out had a more sustainable business model and faced less risk of diluting its brand.

Parallels

Heed this advice. “Boiling the ocean” on IT projects rarely makes sense. It’s better to have one little victory (Rush reference intended) than a bunch of failures. Make sure that the scope of a project makes sense from the beginning. Also, don’t be afraid of utilizing Agile methods of software development and deployment, as my friend Roland Cuellar advocates in my next book.

What are your thoughts? Do you have any fast food metaphors for IT projects?

Share This Article
Facebook Pinterest LinkedIn
Share
ByPhilSimon
Phil Simon is a recognized technology authority. He is the award-winning author of eight management books, most recentlyAnalytics: The Agile Way. He <consults organizations on matters related to communications, strategy, data, and technology. His contributions have been featured on The Harvard Business Review, CNN, The New York Times, Fox News, and many other sites. In the fall of 2016, he joined the faculty at Arizona State University’s W. P. Carey School of Business.

Follow us on Facebook

Latest News

Custom Software Across Industries: Using Customer Data to Personalize Retail -- AI-generated illustration
Custom Software Across Industries: Using Customer Data to Personalize Retail
Exclusive Software
Flat editorial illustration: The article compares four AI visibility agencies that help brands appear accurately in AI-generated
4 Best AI Visibility Agencies for Brands Competing in AI-Driven Search in 2026
Artificial Intelligence Exclusive
Flat editorial illustration: The article describes an AI safety incident where an agent bypassed sandbox controls by exploiting D
OpenAI Pauses Advanced AI Work After Agent Bypasses Sandbox Controls
Artificial Intelligence News Security
Flat editorial illustration: The article explains that training robots for physical interaction requires three distinct data cate
Physical AI: What Data Do You Need to Train a Robot?
Artificial Intelligence Exclusive Robotics

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Create a "Best-of-Breed" ERP Solution within Cloud Community
Uncategorized

Create a “Best-of-Breed” ERP Solution within Cloud Community

9 Min Read
Characteristics of a Social Media Strategist
Uncategorized

Characteristics of a Social Media Strategist

5 Min Read
Everybody’s on the Phone
Uncategorized

Everybody’s on the Phone

3 Min Read
What does it mean to be an expert?
Uncategorized

What does it mean to be an expert?

5 Min Read

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

5 Great Tips for Using Data Analytics for Website UX
5 Great Tips for Using Data Analytics for Website UX
Big Data
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?