MIND GENOMICS APPLIED TO ANDROID APP DISTRIBUTION Filip Petrović Bojan Cvetojević

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Presentation transcript:

MIND GENOMICS APPLIED TO ANDROID APP DISTRIBUTION Filip Petrović Bojan Cvetojević Mentor: Veljko Milutinović 1/6

W HAT IS “ P ORUČI B RE ”? Embedded database of fast food restaurants - easy data access - search restaurant by name or geo-location Insight into the selected restaurant’s menu - optional comparing of different fast food restaurants - no haste and no pressure Easy to create and send orders - just a few clicks away from your meal - no need to call, search for phone numbers or wait due to busy lines - solved problem of potential inconvenience Internet independent - your order is sent via sms - the receiver side only needs a regular cell-phone 2/6

H OW TO DISTRIBUTE ? MIND GENOMICS Raw Materials – Silos & Elements Target Customers Target Distributers -Impact on Customer Experience INTERNET IdeaMap™ Find and classify target groups ANALYZED SURVEY RESULTS → Mind Genomics MARKET SEGMENTATIONTYPING ENGINEMARKETING PHRASES -Classify target groups -Determine the right approach WHO WILL BENEFIT? - Do you want to increase your profit? - Do you want to reach new customers? - Do you want to speed up the ordering process? - Do you want to be ahead of your competition? Fast food owner Hungry customer Powerful corporation - Do you want to be able to order food anytime, anywhere? - Do you want to avoid waiting for your meal? - Do you want to feel comfortable while ordering? - Do you want to increase your reputation? - Do you want to follow new trends? - Do you want a cheap and effective advertisement? 3/6

Multiple permutations of the variables/levels This is done before the experimental design is applied Creation of augmented isomorphic permuted experimental designs that includes permutation of the levels and the variables. - Isomorphic Permuted Experimental Designs - helps us create distinct designs for each respondent How to ask the right questions? Example of the creation of augmented isomorphic permuted experimental designs With a set of variables (A1, A2, …, An), the experimental units are applied to an individually randomized array of variables Rk ⊆ (A1, A2, …, An) The experimental unit ci is applied to three randomizations (Rk) of the variables (A, B, C, D, E) to create profiles Ci. Xj is level j of variable X. Mathematics will help - IPAD Goal - Proper questions designed for each target group 4/6

- The approach creates isomorphic designs that are statistically equivalent - This in turn creates a diverse contextual environment for concept testing - This produces less biased results How to ask the right questions? Final result - Unique set of questions specifically designed for the target group - They will be most effective when used with Mind Genomics 5/6

Filip Petrović Bojan Cvetojević /6 Contact Info