I wrote this article and a quick calculator to divide shared costs. But assuming you just measure amount owed by time spent in a startup the calculator could be used to price contributions.
I have to put in documentation and a good explanation. But I just wanted to see if any managers thought the tool might be useful.
The problem it is trying to solve is to minimise the amount of work people think they are doing by allocating jobs to people who want them most.
All the jobs would be 100% of the work. Each employee puts in what % of the total each job would be for them. The system optimizes so that each employee has the same perceived effort and that perceived effort is minimized.
There are some obvious UX fixes that need to be made but I would be interested to hear what you think of the problem/solution idea?
We've just launched this tool to help people fairly divide stuff between them. It uses linear programming to calculate the maximin allocation. This is the allocation that gives the worst off person as much as possible.
>This was a fairly large change that we, understandably, only wanted to deploy to a small subset of users. This was facilitated by Bengineer Kamen's GAE/Bingo split-testing framework for App Engine.
"Averaged over 30 years, the trend is for an annual 7 percent reduction in the dollars per watt of solar photovoltaic cells. While in the earlier part of this decade prices flattened for a few years, the sharp decline"
http://blogs.scientificamerican.com/guest-blog/2011/03/16/sm...
'The cost of solar, in the average location in the U.S., will cross the current average retail electricity price of 12 cents per kilowatt hour in around 2020, or 9 years from now. In fact, given that retail electricity prices are currently rising by a few percent per year, prices will probably cross earlier, around 2018 for the country as a whole, and as early as 2015 for the sunniest parts of America.'
If solar is at a 7% annual decline is that not a very rapid advancement?
I do not think you can just stop the test when you find something you think is significant
http://www.evanmiller.org/how-not-to-run-an-ab-test.html
'If instead of deciding ahead of time, “this experiment will collect exactly 1,000 observations,” you say, “we’ll run it until we see a significant difference,” all the reported significance levels become meaningless. '
Reading the stats.py it looks like you might be doing this.
Btw Shannon also invented wearable computers. He did it to cheat at roulette.