Would I Go on a Date with You?

Now this is an interesting usage of Analytics : Data-based deep insights , observations and facilitation on the dating world. What if you answer the few questions in the chart above and get to know if we are the right match or not?What if you have a similar map of yours and we able to match our compatibility?  Want to know the best questions to ask on your first date - those easy to bring upfront , those not so personal and obvious ones (few of those on the lower right quadrant below) yet handy enough to know what you both really care about?

Want to know your date's political , social or religious inclination in more subtle acceptable way. OkCupid ,  does it all for you.

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How it works

It encourage you to ask a series of rather interesting questions and generates a match percentage (they have applied a patent for their algorithm) depending on below inputs:

• The answer
• The expected answer from one's partner for the same question
• The degree of importance one gives to the question asked, weightage given in bracket
• Irrelevant(0)
• Little important(1)
• Somewhat important(10)
• Very important(50)
• Mandatory(250)

• Whether one's answers can be made public or not 

Suppose there are two questions with following responses(the green and blue color denotes the match) :

	Importance Weightage/Answer/Expected Answer
A	10/1/1	50/1/3
B	1/1/2	250/1/1
	Q1.	Q2.

For B:

Total Point Available from 2 questions=∑Importance given by A= 10+50=60

Answer to Q1 only matched, so points gained=10

A’s Satisfaction level from B=Points gained by B/Available Points to B=10/60=16.67%

For A:

Total Point Available from 2 questions=∑Importance given by B= 1+250=251

Answer to Q2 only matched, so points gained=250

B’s Satisfaction level from A=Points gained by A/Available Points to A=250/251=99.6%

Match Percentage=sqrt(16.67%*99.6%)=40.74%

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In the quest of getting more and more matches , one ends up answering as many questions as possible (there are tons of them) and hence gets generated the map of one's expected matching criteria along with the valuable insights. The response to whether one's answers can be made public or not gives the ability to segregate the question database into less private and more private as depicted in the second figure above.