Seth Godin wrote a post yesterday with a bunch of brainstormed ideas. They were somewhat related to the concept that passively collecting behavior data would allow for very useful decision support. Here are some my thoughts on these ideas.
- Let me see the percentage of people who have bought a book and actually finished reading it. (The Kindle knows, right?) Even better, let me see Kindle books that are finished by people who finish books that I finish!
First of all, this measurement would only be worthwhile for novels. If you want a measurement of the usefulness of a book, a better statistic would be the number of times a book is reopened. Sometimes I don’t finish a non-fiction book precisely because it is good–I’ll take my time to get through it because each chapter could have a month’s worth of great ideas to absorb. But if you are talking about reading for entertainment, this would be a pretty good measure. This would alert you to the types of books that you “can’t put down”. But even then there are problems. What do you mean “finished reading it”. Would someone who read the first 490 out of 500 pages finished? What about someone who read only the last 10 out of 500 pages? What about someone who “read” all 500 pages, but did so in 5 minutes?
2. Let me see a map of my town with the location of pedestrian accidents highlighted by color.
This way, I can be on my guard in Spot A, where pedestrian accidents are common, and let my guard down in Spot B, where there’s never been an accident. The beauty of this is that I’ll have to return to the website every month, because everyone became so careful in Spot A and so reckless in Spot B that there’s a new pattern to learn.
3. Give me a listing of all the houses in my city sorted by (value of house/taxes paid). That would go a long way to bringing equity to the assessment system.
I thought you lived in a town? (See idea #2).
4. Sort restaurants on Open Table by the percentage of reservations booked by returning diners.
A lot of people have consistently bad tastes. I know many people that frequently go to chain restaurants. There also are people who are afraid to try new things. And even if some people would rather go to restaurant A, restaurant B could cost half as much and see many returners.
5. Sort Facebook invitations in order of how many times someone has been unfriended.
Let’s also find a way in real life to stop being friends with somebody just because other people do.
6. Sort credit card offers based on data from Mint or Wesabe… show me the credit cards with the fewest bankruptcies/financial troubles among recipients first.
Delete all credit card offers period. Show me one independent study, that proves a net benefit to the cardholder from using a credit card. (Debit cards excluded).
7. Sort corporate email by how many people in my company have indicated that a sender is important.
Thus ensuring the even slightest difference in initial popularity level can send someone to the top or the bottom of the corporate ladder even faster.
8. Let me see stocks ranked in order of recent purchases by successful investors.
That way simply by virtue of being known as a “successful investor”, you can become an “even more successful investor”, simply because people will watch and follow your every purchase decision. You can then dump stocks after the price bump(which your purchase caused) and handle a nice profit.
9. Let me review bids from builders ranked in order of complaints filed or the length of time between first application for a building permit and finished building.
Make sure to account for difficulty of the project.
10. Let me see potential online dates sorted by how frequently (or infrequently) the person goes on first dates.
This would only help those looking for a casual hookup to find each other. If someone says “i date a lot of people”, you can be pretty sure that they mean it. If someone says the opposite, you can’t be so sure. Unless there was a 3rd party monitoring tool, but if 1984 were to ever arrive, I don’t think this tool would be a top priority.
11. Sort car models by crash and repair data.
I think Consumer Reports/Kelly’s Blue Book do something like this.
12. Let me see my salesforce ranked by closing rate or cold call rate or customer satisfaction.
Why can’t you do this already?
13. Let me see my inbound call data by hour, sorted by number of rings before answer, or by percentage of calls unanswered.
This would be revolutionary. I bet my income would take off if I could decrease my “rings before answer” average. But seriously, phones should have better APIs for extracting usage data.
14. Let me sort my customer service requests by customer value. (Including loyalty, purchases and referrals).
Many companies do this already.
15. Let me choose a doctor by malpractice suit rate.
Just look for an attractive, friendly doctor. They are much less likely to be sued than an ugly, gruff one, irregardless of medical competence. Studies have been done on this.
16 .When I watch TV online, recognize the pundit and flash historical accuracy rates on the screen while she talks.
Just flashing “No better than than a coin flip” for every pundit would do the trick.
17. Blank out comments on posts that agree with my point of view.
This is a bad, bad idea. I hope you never implement this idea. You couldn’t be more wrong.
Disclaimer: I reserve the right to disagree with every comment I made on each idea. I often intentionally tried to disagree with Seth(see #17), although for some ideas I believe my comments were better.
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