In: Computer Science
"Heuristics and Analytics" Please respond to the following:
The ideal method of evaluation products involves volunteers. However, sometimes this is not feasible (i.e., product time constraint, too expensive, etc). This where experts who are knowledgeable about interaction design, needs, and typical behavior of users come into the picture. Choose a random product that you use daily and speculate on how a heuristic evaluation would be performed on that product. Provide a rationale for your response.
Social media websites, such as Facebook, Twitter, and e-Commerce giant Amazon, use some form of Web analytics. Speculate on the Web analytic tool that you believe is most commonly used. Justify your response.
We can think about starting a business of making edible/food grade paper straws, Since this is not widely used in the market.
As we can see there is lot of usage on straws increased since last 10 years. To protect our environment and to avoid more usage of plastics we can go for starting manufacturing this kind of straws.
It needs data analysis on below points:
Web Analytics 2.0 is defined as:
1. The analysis of qualitative and quantitative data from your website and the competition
2. To drive a continual improvement of the online experience of your customers and prospects
3. Which translates into your desired outcomes (online and offline)
Web analytics 2.0 is a three-tiered data delivery and analysis service for small and big businesses. The first is the data itself, as it measures the traffic, page views, clicks and more for both your website and for your direct competition. The second is what you do with that data, or how you are able to take the information gathered via these services and apply it to your customers, whether new or existing, to make their experience meaningful and better. And the final tier is how it all circles back together to meet your overarching business objectives, not just online but offline as well. Data by itself is a great way to see how you are performing, but without applying what you've learned, it has little use.