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Dirty Mint Presentation

Transcript: Why are we better? User reviews become more important as more of them are accumulated FOR INTERNAL USE ONLY How It Works (Non-Technical) FOR INTERNAL USE ONLY FOR INTERNAL USE ONLY The Monster Score algorithm is based off of two factors: user views, and user applies. These categories of information are stratified by user (this is a key part of the algorithm) and are what form the core of the algorithm. At its simplest Monster Score can be broken down like so: User data is stratified into the format: <USER ID> | <LIST OF COMPANIES APPLIED> | <LIST OF COMPANIES VIEWED> This is a key part of the algorithm because it ensures that "like is compared to like", and because it allows for further stratification in the future by seeker (user) profiles. (ie: Monster Scores for Technology employees, Healthcare, People who live in europe, etc...) Next the scoring is broken up into three cases: 1) The user views the company and applies to it, this is considered a "victory" for the company in this rating system 2) The user views the company and does not apply to it, this is considered a "loss" for the company in this rating system 3) The user views the same company multiple times but does not apply, this is a new condition that I would call a "partial victory" as viewing a company multiple times can indicate increased interest in the company, but not as much as actually clicking the apply button. Companies that are applied to receive an increase to their score, while companies that are viewed but not applied to receive a decrease in their score. Companies with many views from the same user receive a smaller increase to their score. These changes are proportional to the current rating, ratings deviation, and volatility of both companies. One important thing to note regarding the Monster Score algorithm is that because of they way it was designed, large companies can go toe-to-toe with smaller companies and visa-versa fairly. Filtering based off of seeker profiles -> Different scores for each and every category of user on monster.com Company Recommendations based off of the monster score with filtering -> ex: User112231 is 78% likely to apply to company A instead of Company B because Company A has a higher Monster Score for the user than Company B Improve search results by giving preference to companies that have higher monster scores for specific users. This would have to be done carefully to avoid future bias in the Monster score algorithm, companies with high rankings could be given preference with lower ranked companies cycled in occasionally when it is calculated they have the greatest chance of receiving an apply, based off of the seeker profile. FOR INTERNAL USE ONLY FOR INTERNAL USE ONLY FOR INTERNAL USE ONLY The data that was generated via the Monster Score algorithm was validated using several methods. The first method employed was to simply select random companies from the results file, and manually validate that companies were being rated correctly. After validating that the algorithm was producing results somewhat correctly, I created a frequency distribution of all the ratings that I had calculated (Roughly 47000 companies and 290,000 users). I knew beforehand that in an ideal world the distribution would be roughly normal, so seeing this result helped confirm the validity of the algorithm. FOR INTERNAL USE ONLY What is Monster Score? Monster score is a rating system based upon the Glicko-2 Rating system, with many modifications to it. What is the goal of Monster Score? The goal of Monster Score is to provide a comprehensive ranking system for companies that measures the competitive performance of each company in the job marketplace, while removing as much bias as possible. What is the benefit to users and our customers? Users seek an unbiased source of information on the internet when searching for a new job, and since Monster Score is based off of raw data from views and applies, user bias is not factored into the scoring system at all. Our customers gain an incredibly powerful analytical tool that can track the performance of their company in the overall job market over time, as well as gain information on where they are losing potential applicants to, the demographics of lost potential applicants, and many other potential applications. FOR INTERNAL USE ONLY FOR INTERNAL USE ONLY FOR INTERNAL USE ONLY FOR INTERNAL USE ONLY FOR INTERNAL USE ONLY FOR INTERNAL USE ONLY Why are we better? We can see here that the distribution appears to be roughly normal, with two key outliers. One outlier is companies with the default (or near default) score of 1500, and one is companies with the maximum possible score. The spike of companies with the default rating occurred because we had a limited data set, in which some companies did not get many user views or applies. The spike of companies with the max rating happened because an artificial cap was placed at 3000, preventing a company from going beyond that. I believe that

TripAdvisor Mint Presentation

Transcript: Presented by Harsha Gunnam for TripAdvisor Product Proposal for Mint Introduction Introduction to mint Mint is a free web based personal financial management service. It brings together everything from balances and bills to credit scores and more Users can link everything from their bank accounts to 401ks and organize all their finances from one place The problem with mint Idea While mint is very good at organizing everything, it lacks the ability to provide good insights/advice The investments & loans sections are also severly lacking without even some basic guidance features Solution This limitation can be address by adding the capability to provide insights and advice based on the users' financial situation and data The advice capability will give users the ability to understand their personal financial situation and provide guidance on how to improve it The capability will operate by analyzing users' data without sharing or storing it (thereby protecting privacy) by using preprogrammed algorithms and decision science methodologies The outcomes of the analysis can be layered with industry wide insights to present users with individually catered specific advice in an easily digestible format Solution Use-cases Use-Cases The potential for this capability is vast If users are investing in stocks or 401k, the advice can include alerts or information on analyst upgrades/downgrades, earnings, similar stocks' performance, alternative funds If users have a goal to achieve, the insights can suggest things such as cutting back on some budgets to reach the goal faster The guide can suggest ways to improve credit scores The advice can include ways to pay off loans faster, etc. How it will help This capability would position mint not just as a personal financial organizer but also as a personal financial guide It will become a multi-purpose and highly useful financial tool for consumers from a single-purpose financial organizer How this will help the business Monetizing This capability can be monetized and will provide ways to get more revenue When investment advice is given, alternate brokerage accounts can be advertised When loan advice is provided, options can be pushed for refinancing loans through different banks When goals are added for things like buying a car, car loan programs can be marketed along with pushing for an accelerated timeline The extra advice can even be offered as a paid subscription tool Monetization Product Details Details My vision of the idea would be to establish a separate advice section with callouts to that section on the homepage Flow Product Flow Mockups Current UI/UX Product Mockups Mobile Future mobile UI/UX New advice module in overview linked to dedicated advice section Dedicated advice section Advice from different sections Links to detailed insights and ads Detailed advice Advertising Desktop Future desktop UI/UX - Advice module on homepage New advice module in overview linked to dedicated advice section Desktop (contd.) Future desktop UI/UX - Dedicated advice section Dedicated advice section Advice from different sections Links to detailed insights and ads Desktop (contd.) Future desktop UI/UX - Detailed advice with advertising Detailed advice Advertising What to measure? Data This idea was developed based on my vision of how mint can be optimized. Assumptions were made that this capability will he highly useful based on my vision and how the data may have been Data should be collected both before developing the capability and after not only to validate the success of it but also to understand how users are consuming this information Before Metrics for validation of success Engagement rate User acquisition rate User attrition rate Satisfaction (NPS) score Metrics for guiding design decisions % of users with linked investments, loans, goals setup % of users consuming the blog content; % of those users with accounts SEO queries before landing on website Before After Validation metrics should be evaluated - is there an increase? Additionally, other data points should be monitored % of users consuming the advice - clicks, scrolling, attention % of clicks on affiliate links; subsequent revenue from those ad placements % of users acquired after reading use-cases of the new capabilities SEO rankings due to the new content Traffic due to the potential improvement in SEO rankings Average time on pages After Discussion Thank You

Background Presentation

Transcript: 14th Week Consulting interns can be expensive Time and Money Personal Experience Preliminary Design Stage NFPA 101 and NFPA 13 New and Existing Education, Business, and Mercantile Definition of Project This app would be used to provide interns and recent graduates with an outline of guidelines for how to design and review designs of specific occupancies. With the given time frame, I will be writing the information that will go into the app Begin parametric study: Speak with my mentor and Jason to understand more about what critical variables I could concentrate on for this app. Choose those parameters and begin my study Gather information from NFPA 101 and NFPA 13 for new and existing education, business, and mercantile occupancies. By: Breanne Thompson Next Steps (Continued) Finish preparing for Draft of Analysis Pull together and discuss results of project Draw my conclusions and state future work needed Turn in Final Paper! 10th and 11th Week Turn in my parametric study Begin draft of analysis Map out the process of the app for the key elements 15th Week References Next Steps 7th Week Prepare for Final Presentation Summarize my draft of analysis into presentation Work on how to incorporate a live demonstration for my presentation App Development Background Information 8th-9th Week Continuous Process Objective-C for Apple products Java for Android products 6 months of studying Places to Learn: Codecademy, iOS Dev Center, Android Developers Training Hire App Developer will cost thousands Prepare Final Paper Dive into Shark Tank! 1. http://lifehacker.com/5401954/programmer-101-teach-yourself-how-to-code 2. http://www.bluecloudsolutions.com/blog/cost-develop-app/ 6th Week Background Presentation 12th-13th Week

Background Presentation

Transcript: Real action and accountability Amnesty International Non-state actors/ Rebel Groups?? ...and what about men?? ignoring male rape victims? would rape exist without a man? Weapons of War: Rape UN as an Arena - NGO's - Discussion and dialogue Arena Instrument Actor Critical Thinking Weapons of War: Rape UN as an instrument UNSC Resolution 1820 (2008) UN as an Actor - UN Action Against Sexual Violence in Conflict Weapons of War: Rape Problems with 1820 "Roles and Functions of International Organizations" "Sexual violence, when used as a tactic of war in order to deliberately target civilians or as a part of a widespread or systematic attack against civilian populations, can significantly exacerbate situations of armed conflict and may impede the restoration of international peace and security… effective steps to prevent and respond to such acts of sexual violence can significantly contribute to the maintenance of international peace and security" (UNSC Resolution 1820, p. 2)" http://www.stoprapenow.org/uploads/advocacyresources/1282164625.pdf Background Presentation- Kristin Mann Weapons of War: Rape Brief Insight - used to manipulate social control - destabilize communities - weaken ethnic groups and identities Examples: - Sudanese Militia - Rwanda Genocide - DRC Critical Thinking http://www.womenundersiegeproject.org/blog/entry/the-need-for-numbers-on-rape-in-warand-why-theyre-nearly-impossible-to-get Critical Thinking Increased Data Collection by international organizations - determine humanitarian responses - ensures justice and reparation - provides recognition and dignity

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