Retrospective: Leaving Microsoft

Posted on March 27, 2012 | 1 Comment

Tuesday, March 27th was my last day at Microsoft. After 8 years I am finally taking the plunge and switching companies. I have been doing a lot of reflection about my this job, and wanted to share my conclusions.

Smarts

  • I love to work with smart people; I am always be learning, if only by osmosis.
  • A strong engineering group has effective mentors. Lose that, and we’re doomed.
  • I can never know enough smart people.

Pride

  • I take pride in my work. It is a personal thing; I have private standards of quality and performance that I am not willing to compromise.
  • The colleagues I trust most take pride in their work, also.
  • I try to admit when I make mistakes. I don’t try to play politics. I am proud of this, because doing this requires a constant struggle to stay honest with oneself.

Curiosity

Curiosity...

  • I always need to learn something new. If I am not learning some new trick, best practice, or language, then I get restless.
  • I like to play with my work. I like to experiment. I am not happy if I don’t have the time to do that, and be recognized for it.

Trust

  • Trust is my ultimate currency. I have a very hard time working with people I do not trust and respect. A good software and IT team will have professionals that trust each other to do the right thing.
  • The best technical people I know have a finely tuned BS meter. They recognize spin and buzzwords instantly. You can’t fool them.

Balance

  • Work-life balance is critical. I am taking a 30% pay cut in order to work 35% less, because the hours were so long. It seems a wise trade.
  • A study has shown that the #1 regret by seniors was they had worked too much, and didn’t spend enough time with their friends and family. I do not want that to be me.
  • Other studies have shown that working your staff more than 40 hours a week doesn’t improve productivity, and in fact harms it in the long run. A smart business doesn’t overwork its employees, because it knows that doing so makes no business sense.
  • Email, Visio, Powerpoint, meetings, planning documents, etc…the overhead is necessary in any company. But it should be kept to a necessary minimum. Customers don’t pay us to be in meetings all day.

Joy

Nerf dart

  • I like to celebrate victories. Especially my teammates’ successes. I want to be happy for them, and not jealous.
  • I like to work in an environment that’s fun. Ideally one with NERF gun battles
  • If possible, I like to work with colleagues that have a complementary sense of humor.

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Posted in About Dev, Professional Development

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Buy a Car With Data – Part 2

Posted on February 14, 2012 | 4 Comments

In our previous blog post we identified 27 cars based on a list of features, and then narrowed our list down to 3 based on Internet data and test drives. Now, it is time for more data!

Deep Dive

With a list of cars this small, we can do more in-depth research. We found out the cost of car insurance, average maintenance costs, vehicle crash ratings, accident data, and insurance data. We also tried to estimate how much each model would cost to own over 5 and 10 years.

However, the most interesting data was about crash test ratings and accident statistics. Vehicle crash-test ratings are designed to be predictive, which means they try to imitate real-world conditions. Accident data is far more interesting, because it shows what actually happened.

You're Out, Civic!

The Honda Civic accident data suggests it is less safe than a Fit or Prius. We eliminated it from our list. You can’t argue with data.

We are left with 2 options: the Prius and the Fit. It is time to look at specific cars for sale.

Round 3: Specific Cars

The Internet makes it easy to find data. In our case, we used AutoTrader.com and ToyotaCertified.com to get a list of cars within 200 miles of Seattle. We wanted to find any Prius or Fit for less than $20,000 and with under 60K miles. We found 105 cars. Now that we had data, it was time for analysis!

Analysis

Our biggest question was how to consider several variables. Which is better: a $15,000 car with 32,000 miles or a $12,000 car with 46,000 miles? What if one is a year older than the other?

The way we handled this is by focusing on the variables that mattered the most to us: price, mileage, and age. We created a ‘score’ for each car’s variable, from 0% to 100%. 100% meant it was the best deal. 0 mean it was the worst. For example, the car with the lowest mileage had a ‘mileage score’ of 100%.

To find a ‘Good Deal Score’, we weighted the different scores, and then added them. We said that price matters 50%, mileage 16.6%, age 16.6%, and warranties 16.6%.

You can see the results below. The best cars had a good deal score of over 5. You can see how the best scores are often given to cars with low mileage and a low price.

We looked at the top 2 Priuses and Fits, sorting by their Good Deal Score. We realized that the 2009 Prius for $15,000 and with 25,000 miles was what we wanted. We called the car dealer, had them email us the final price ($16.5K with sales tax and registration), and we bought the car that day. No pressure, no hassle, and we knew we got a great deal. Success!

Epilogue

Lessons Learned:

  • The Internet levels the playing field. A few days’ research can make you a much savvier car shopper, giving car salesmen less of an edge.
  • Remember that the buyer has all of the leverage. I can choose not to buy a car from someone at any time.
  • Make car dealers bid for your business. Use phone or email, so they can’t pressure you.

Pros:

  • Discussing features first was a brilliant idea. We both compromised to make that list of features, but in a low pressure situation. Later on, Kate & I never disagreed about whether a car was a good fit for us, because we both were looking for the same thing.
  • Decide which model(s) to buy before deciding which specific car to buy.
  • The amount of money you can save by comparison shopping is incredible. We could immediately tell whether a specific car was a good deal or not based on the data.
  • A modest amount of time = massive savings. We spent ~40 hours doing research, analysis, and test drives  That may save us $5,000 to $15,000 over the life of the car. That comes out to $125 to $375 saved per hour.
  • Using data = fewer disagreements. Kate & I always agreed which car was safer, because the data told us. We knew which specific car was a better deal, because our analysis said so.

Limitations:

  • Self awareness. Why are certain features and options important to you?
  • Emotional control. It is hard to walk away from a nice car because you are not intellectually ready to buy it.
  • Takes time. Those 40 hours were not spent on sleep, reading, or blogging.
What We Wish We Had:
  • Car maintenance/reliability data. We still don’t know which car models are more reliable than others.
  • Car price predictor data. We didn’t know whether car prices were going up or down.
  • A service to do this for us. I would gladly pay $100 for some company to do all of this work, and deliver the car to my front door.

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Posted in Analysis, Economics, Personal Finance

Buy a Car With Data – Part 1

Posted on February 13, 2012 | 1 Comment

In this set of blog posts, I will cover my experience in buying a car using data. I’ll go over some of the advantages, like ignoring all of the lies marketing.

Background

We like reliable steeds

My wife, Kate, and I were perfectly content to drive her car, a 1995 Honda Civic. It never gave us any trouble…until it died last December. Then we needed a replacement.

After mourning the passing of our reliable steed, we decided we did not care about specific car brands or models. We cared about features. Our goal was to buy a car with features we care about, for the best price. Our first step: decide what functionality we wanted most.

Know Thyself

We spoke for an hour, and made a list of desired features. This was the place for each of us to say what we thought was important; other people will have different results.

Must Have

Feature Reason
Better than 27 mpg city, 37 mpg highway. We like the environment. That is what our old car did.
Highly reliable We like low maintenance costs
Good crash test ratings/data We like safety
Lasts at least 5 years The cheapest car is the one you already own
Anti-lock brakes & air bags We like safety
Enough space for a baby seat We’ll need that in a few years
Cruise control Makes road trips easier
Audio line-in jack, for iPods We like music
At least 10 sq ft of storage space in the trunk Necessary for camping trips
Range of at least 500 miles per day Necessary for road trips

Nice to Have

Feature Reason
CD player, radio, and good speakers We like music
Sunroof We live in Seattle
Power windows, door locks We’re lazy
Leather seats Easier to clean child-induced messes
Lasts 10+ years We’re really cheap

Now that we knew our goals, it was time to learn the game

Know Thy Enemy

Both of us have heard horror stories about the car buying experience. Neither of us had done this before. So it was time to learn. We used our favorite resource: The Internet. A few web searches found dozens of articles discussing the best ways to buy a car. We read through the top 30 and took notes. From that we made a list of best practices when buying a car.

We also found there is a balance between features, price, and reliability:

Lessons Learned

  • Best practices for car shopping
  • Things to avoid when car shopping
  • Get a used car if you want a deal

Round 1: Find Good Car Models

Armed with our list of features, we started looking at different car models made since 2004. I found Edmunds.com and CarAndDriver.com to be particularly helpful here. A couple hours’ web browsing found 27 models that fit our criteria. Now the fun part: data!

"Wow, data is useful!"

Our top criteria were reliability and fuel efficiency. So, we documented each car’s gas mileage, and created an ‘Internet score’ that counted how often each model was included in articles about ‘the most reliable used cars’ or ‘the top 10 quality cars by BigCarWebsite’. A little Excel conditional formatting, and voila! We ended up with this:

We removed cars with bad gas mileage (less than 29 mpg combined), and with an Internet score of less than 3 (not reliable enough). That left 7 cars.

Next, we compared each car’s specs with our list of must-have features. This led to 4 more disqualifications:

We were left with 3 cars: the Honda Fit, the Honda Civic, and the Toyota Prius. They became our short list. Now it was time for test drives.

Round 2: Test Drives!

Test driving a car isn’t about data. Driving a car is subjective. If we think about why a car feels a certain way, a test drive can provide a wealth of information. One day, 3 test drives and 2 auto dealerships later, Kate & I came away with some pros and cons for each car, but we liked all 3 of them.

Additional web research showed that none of our cons was justified. The only lesson was realizing that a Prius is very mechanically complicated. So we should only look at Priuses (Prii?) with warranties.

In our next post, we will analyze specific cars for sale, looking for the best deals.

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