How To Get Multiple Refinance Quotes

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What content types best meet the needs of our target audience and their changing, multiple contexts? What content types best fit the skills of our copywriters? What content types do we already have? What contexts are appropriate for the delivery of our content, and how will we translate our information into multiple content types appropriate for different screens, resolutions, locations, and contexts? Is existing content still good? Is it still current, relevant, and brand-appropriate for our needs, our users’ needs, and the context in which we want to deliver it? How will we get more content to bridge the gaps between what we have and what we need? What is the workflow that already supports that, and do we need to refine it? How will we make the case for these new content types to other team members who help shape the user experience? Who will do this for launch? Who will maintain content on an ongoing basis? Who will train them? How will we help people find the answers, definitions, and other information they need? What are the relationships within our content?
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Margot Bloomstein (Content Strategy at Work: Real-world Stories to Strengthen Every Interactive Project)
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Similarly, the computers used to run the software on the ground for the mission were borrowed from a previous mission. These machines were so out of date that Bowman had to shop on eBay to find replacement parts to get the machines working. As systems have gone obsolete, JPL no longer uses the software, but Bowman told me that the people on her team continue to use software built by JPL in the 1990s, because they are familiar with it. She said, “Instead of upgrading to the next thing we decided that it was working just fine for us and we would stay on the platform.” They have developed so much over such a long period of time with the old software that they don’t want to switch to a newer system. They must adapt to using these outdated systems for the latest scientific work. Working within these constraints may seem limiting. However, building tools with specific constraints—from outdated technologies and low bitrate radio antennas—can enlighten us. For example, as scientists started to explore what they could learn from the wait times while communicating with deep space probes, they discovered that the time lag was extraordinarily useful information. Wait times, they realized, constitute an essential component for locating a probe in space, calculating its trajectory, and accurately locating a target like Pluto in space. There is no GPS for spacecraft (they aren’t on the globe, after all), so scientists had to find a way to locate the spacecraft in the vast expanse. Before 1960, the location of planets and objects in deep space was established through astronomical observation, placing an object like Pluto against a background of stars to determine its position.15 In 1961, an experiment at the Goldstone Deep Space Communications Complex in California used radar to more accurately define an “astronomical unit” and help measure distances in space much more accurately.16 NASA used this new data as part of creating the trajectories for missions in the following years. Using the data from radio signals across a wide range of missions over the decades, the Deep Space Network maintained an ongoing database that helped further refine the definition of an astronomical unit—a kind of longitudinal study of space distances that now allows missions like New Horizons to create accurate flight trajectories. The Deep Space Network continued to find inventive ways of using the time lag of radio waves to locate objects in space, ultimately finding that certain ways of waiting for a downlink signal from the spacecraft were less accurate than others. It turned to using the antennas from multiple locations, such as Goldstone in California and the antennas in Canberra, Australia, or Madrid, Spain, to time how long the signal took to hit these different locations on Earth. The time it takes to receive these signals from the spacecraft works as a way to locate the probes as they are journeying to their destination. Latency—or the different time lag of receiving radio signals on different locations of Earth—is the key way that deep space objects are located as they journey through space. This discovery was made possible during the wait times for communicating with these craft alongside the decades of data gathered from each space mission. Without the constraint of waiting, the notion of using time as a locating feature wouldn’t have been possible.
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Jason Farman (Delayed Response: The Art of Waiting from the Ancient to the Instant World)
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Bruce Mesnekoff Discussing About Refinancing Student Loan and Consolidation Loan repayment is a major goal for any graduate after college. According to our Expert from Student Loan Help Center, Mr.Bruce Mesnekoff, Every individual dreams of a loan free future and having some financial stability. To achieve this, there are options available to help with loan repayment. In our earlier article we spoke about consolidating student loans. In this article, we will discuss refinancing student loans and its associated advantages. So Bruce Mesnekoff, how consolidation and refinancing are different in terms? These two terms are used interchangeably by most people but there is substantial difference between the two. Understanding the difference is critical to know when can each be used and whether it will solve your purpose or not. Consolidation lets you combine all your student loans into one loan and pay interest at a weighted average. Refinancing is taking a new loan to pay off all your student loans. Refinancing is not available for federal loans but only for private loans.Also only private loan lenders provide the option of refinancing, though a few might provide you with the option of refinancing private and federal loans. Why Refinancing and Bruce Mesnekoff tells us what are the Advantages of it? Refinancing has certain benefits if you get good pay. You will have to pay lesser interest rate. This helps you save monthly and eventually a bigger bank balance down the years. Your credit score is high which will help you gain multiple offers from lenders with lesser interest rate. Offers you variable loan interest which come handy if you took loan when interest rates were too high. You also have the option of decreasing your loan repayment cycle, This will increase monthly repayment amount but you will be loan free in shorter time and will save on even more interest money. Disadvantages There is one major disadvantage that comes when you refinance private and federal loans. The benefits offered by federal loans like public loan forgiveness program or income driven repayment will not be transferred to private lenders. So if you are truly confident of your income then you can do away with such options and completely rely on private loans. So Bruce Mesnekoff , Can you tell us Eligibility Criteria, I think its most important for our students. The eligibility is determined by your financial stability, your credit score, employment history etc. If you have poor credit, you can always have a co-signer to make the process feasible. Refinancing is surely a great way to save money, but whether it best fits you or not is completely your decision. Thoroughly analyze all the pros and cons against your goal and then take the first step. Make the best use of the number of lenders available to provide you with the best solution for your areas of concerns. Good Luck! You can also contact Bruce Mesnekoff an author of The ultimate guide to student loans and CEO of Student Loan Help Center Florida.
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Bruce Mesnekoff
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Many banks do not advertise they are portfolio lenders and many people working at the bank may not even know what a portfolio lender is. If you are calling up a bank and they say they aren’t a portfolio lender, don’t give up! Ask to talk to a loan officer and ask specific questions about what type of investor programs they offer. Here are some good questions to ask; Do you loan to investors who already have four mortgages? Do you sell your loans or keep them in-house? Do you allow investors with four or more mortgages to do cash out refinance? What terms and loan programs do you offer investors? ARM, 15, 30 year fixed, balloon? What interest rates are you charging and what are the initial costs for your loans? What
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Mark Ferguson (How to Get Financing on Multiple Investment Properties)
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You will do one of two things as soon as you’ve exhausted what you can determine mathematically in the case: (1) Refine your hypothesis and create a custom issue tree to drive the rest of your analysis, or (2) shift to understand qualitatively what you’ve determined quantitatively as the root cause of the client’s problem.
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Victor Cheng (Case Interview Secrets: A Former McKinsey Interviewer Reveals How to Get Multiple Job Offers in Consulting)
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If you start a case with absolutely no background information, this framework is used initially as an information-gathering tool. The questions in the diagram are what I call high-probability questions. When answered, these questions give you a very high probability of discovering some insight about the case—enough insight to prompt you to refine your hypothesis.
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Victor Cheng (Case Interview Secrets: A Former McKinsey Interviewer Reveals How to Get Multiple Job Offers in Consulting)
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Once you have enough insight to state a refined hypothesis, you’ll want to do one of two things: (1) Work through the rest of the framework, excluding questions that aren’t necessary to test your hypothesis; or (2) develop your own custom issue tree and questions that will better test your refined hypothesis.
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Victor Cheng (Case Interview Secrets: A Former McKinsey Interviewer Reveals How to Get Multiple Job Offers in Consulting)
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Here are the types of questions I consider asking during product analysis: What is the nature of the product? (What are its benefits? Why would someone buy it?) Is it a commodity good or a unique good? (Could the company increase differentiation?) Are there any complementary goods? (Can the company piggyback off growth in complements or near complements?) Are there any substitutes? (Is the company vulnerable to indirect competitors, namely substitutes?) What is the product’s life cycle? (Is it new or almost obsolete?) How is it packaged? (This is an optional question. Is anything bundled or included with the product—for example, just a razor versus a razor with replacement blades, or just a product versus a product with a service contract? Would a change in the product’s packaging make the product more likely to meet specific consumer segments’ needs?) If you selectively ask questions about these product-related topics, you can uncover insights that will help you refine your hypotheses and ultimately serve your client more effectively.
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Victor Cheng (Case Interview Secrets: A Former McKinsey Interviewer Reveals How to Get Multiple Job Offers in Consulting)
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Questions on the following topics can help you identify helpful information about the company that you can then use to refine your hypothesis—and ultimately structure a more customized issue tree: Capabilities and expertise Distribution channels Cost structure (mainly fixed versus variable; is it better to have higher fixed costs with lower variable, which is a barrier to entry, or vice versa?) Investment costs (optional: only if the case involves an investment decision) Intangibles (e.g., brands, brand loyalty) Financial situation Organizational structure (optional: if, for example, team organization is in conflict with how customers want to do business, as in the case with the Fortune 500 CIO who wanted to do business with just one person)
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Victor Cheng (Case Interview Secrets: A Former McKinsey Interviewer Reveals How to Get Multiple Job Offers in Consulting)
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After you analyze each company independently, you’ll run a third analysis of the two companies combined, which will provide you with qualitative insights about the benefits of such a transaction. Once you run all the analyses, you would use the qualitative data to refine your hypothesis and then analyze the potential benefits quantitatively (e.g., estimate the magnitude of financial benefit).
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Victor Cheng (Case Interview Secrets: A Former McKinsey Interviewer Reveals How to Get Multiple Job Offers in Consulting)
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My friend Bangaly Kaba, formerly head of growth at Instagram, called this idea the theory of “Adjacent Users.” He describes his experience at Instagram, which several years post-launch was growing fast but not at rocketship speed: When I joined Instagram in 2016, the product had over 400 million users, but the growth rate had slowed. We were growing linearly, not exponentially. For many products, that would be viewed as an amazing success, but for a viral social product like Instagram, linear growth doesn’t cut it. Over the next 3 years, the growth team and I discovered why Instagram had slowed, developed a methodology to diagnose our issues, and solved a series of problems that reignited growth and helped us get to over a billion users by the time I left. Our success was anchored on what I now call The Adjacent User Theory. The Adjacent Users are aware of a product and possibly tried using it, but are not able to successfully become an engaged user. This is typically because the current product positioning or experience has too many barriers to adoption for them. While Instagram had product-market fit for 400+ million people, we discovered new groups of billions of users who didn’t quite understand Instagram and how it fit into their lives.67 In my conversations with Bangaly on this topic, he described his approach as a systematic evaluation of the network of networks that constituted Instagram. Rather than focusing on the core network of Power Users—the loud and vocal minority that often drive product decisions—instead the approach was to constantly figure out the adjacent set of users whose experience was subpar. There might be multiple sets of nonfunctional adjacent networks at any given time, and it might require different approaches to fix each one. For some networks, it might be the features of the product, like Instagram not having great support for low-end Android apps. Or it might be because of the quality of their networks—if the right content creators or celebrities hadn’t yet arrived. You fix the experience for these users, then ask yourself again, who are the adjacent users? Then repeat. Bangaly describes this approach: When I started at Instagram, the Adjacent User was women 35–45 years old in the US who had a Facebook account but didn’t see the value of Instagram. By the time I left Instagram, the Adjacent User was women in Jakarta, on an older 3G Android phone with a prepaid mobile plan. There were probably 8 different types of Adjacent Users that we solved for in-between those two points. To solve for the needs of the Adjacent User, the Instagram team had to be nimble, focusing first on pulling the audience of US women from the Facebook network. This required the team to build algorithmic recommendations that utilized Facebook profiles and connections, so that Instagram could surface friends and family on the platform—not just influencers. Later on, targeting users in Jakarta and in other developing countries might involve completely different approaches—refining apps for low-end Android phones with low data connections. As the Adjacent User changes, the strategy has to change as well.
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Andrew Chen (The Cold Start Problem: How to Start and Scale Network Effects)