Usability Evaluation focuses on how well users can learn and use a product to achieve their goals. It also refers to how satisfied users are with that process. To gather this information, practitioners use a variety of methods that gather feedback from users about an existing site or plans related to a new site. Show
What is Usability?Usability refers to the quality of a user's experience when interacting with products or systems, including websites, software, devices, or applications. Usability is about effectiveness, efficiency and the overall satisfaction of the user. It is important to realize that usability is not a single, one-dimensional property of a product, system, or user interface. ‘Usability’ is a combination of factors including:
What are the Evaluation Methods and When Should I Implement Them?The key to developing highly usable sites is employing user-centered design. The expression, “test early and often”, is particularly appropriate when it comes to usability testing. As part of UCD you can and should test as early as possible in the process and the variety of methods available allow you to assist in the development of content, Information architecture, visual design, interaction design and general user satisfaction. Opportunities for testing include:
Any one or a combination of these tests will radically improve the usability of your site, system or application. Working with Data from TestingUsability evaluations can capture two types of data: qualitative data and quantitative data. Quantitative data notes what actually happened. Qualitative data describes what participants thought or said. Once you have gathered your data, use it to:
Use goals to measure how often users complete specific actions. Goals measure how well your site or app fulfills your target objectives. A goal represents a completed activity, called a conversion, that contributes to the success of your business. Examples of goals include making a purchase (for an ecommerce site), completing a game level (for a mobile gaming app), or submitting a contact information form (for a marketing or lead generation site). Defining goals is a fundamental component of any digital analytics measurement plan. Having properly configured goals allows Analytics to provide you with critical information, such as the number of conversions and the conversion rate for your site or app. Without this information, it's almost impossible to evaluate the effectiveness of your online business and marketing campaigns. Watch the video below for an overview of Analytics goals. Watch the goals video overview In this article:
How goals workGoals are configured at the view level. Goals can be applied to specific pages or screens your users visit, how many pages/screens they view in a session, how long they stay on your site or app, and the events they trigger while they are there. Every goal can have a monetary value, so you can see how much that conversion is worth to your business. Using values for goals lets you focus on the highest value conversions, such as transactions with a minimum purchase amount. When a visitor to your site or user of your app performs an action defined as a goal, Analytics records that as a conversion. That conversion data is then made available in a number of special-purpose reports, which are described below. Goal typesGoals fall into one of 4 types, listed in the table below:
Smart GoalsIn addition to the goal types described above, Analytics provides an alternative conversion tracking method called Smart Goals. Smart Goals are specifically designed to help Google Ads advertisers who may not have enough conversions to use the Google Ads optimization tools, such as automated bidding. When you have Smart Goals enabled, Analytics automatically evaluates your website or app visits and assigns each a score, with the "best" visits being translated into Smart Goals. Learn more about Smart Goals. Funnels for Destination goalsWith a Destination goal, you can specify the path you expect traffic to take. This path is called a funnel. When you specify steps in a funnel, Analytics can record where users enter and exit the path on the way towards your goal. This data appears in the Goal Flow and Funnel reports. You may see, for example, a page or screen in a funnel from which a lot of traffic exits before completing the goal, indicating a problem with that step. You might also see a lot of traffic skipping steps, indicating the path to conversion is too long or contains extraneous steps. Learn more about goal Flow and Funnel reports. Goal valueWhen you set up a goal, you have the option of assigning a monetary amount to the conversion. Each time the goal is completed by a user, this amount is recorded and then added together and seen in your reports as the Goal Value. Every action a user takes can be translated into a dollar amount. One way to help determine what a goal value should be is to evaluate how often the users who complete the goal become customers. For example, if your sales team can close 10% of people who sign up for a newsletter, and your average transaction is $500, you might assign $50 (i.e. 10% of $500) to your newsletter sign-up goal—a goal that users complete when they reach the final newsletter sign-up page. In contrast, if only 1% of signups result in a sale, you might only assign $5 to your newsletter sign-up goal. You can change the currency unit for the goal Value in your view settings. Goal ID and goal setsEvery goal you create is assigned a numeric ID, from 1 to 20. Goals are grouped into sets of up to 5 individual goals. Goal sets allow you to categorize the different types of goals for your site. For example, you might track downloads, registrations, and receipt pages in separate goal sets. These sets appear in your reports as links beneath the Explorer tab in many reports. Reporting on goalsYou can analyze the goal completion rates, or conversion rates, in the Conversion > goals reports. Goal conversions also appear in other reports, including the Conversions > Multi Channel Funnels reports, the Conversions > Attribution reports, and the Acquisition reports. Limits of goals
Best practices for goalsUse intuitive names for your goals. This will help you and others understand the conversion reports more easily. Although assigning a goal value is optional, we recommend you do so to help monetize and evaluate your conversions. Note that Analytics also uses the goal value data to calculate other metrics like ROAS (Return on Ad Spend). If using a dollar amount as a goal value doesn't seem applicable to your site or app, just use a consistent numeric scale to weight and compare your conversions. For example, give low-value goals a "1" and high-value goals a "10." If you change or repurpose an existing goal, be sure to keep track of when you made the change. Since goals are not applied to historical data, changing a goal will change your conversion data from the point of the change. This might lead to confusion in your reports. (This is another reason to name your goals intuitively). Next steps
Was this helpful? How can we improve it? Which term of the following term describes the outsourcing of a task to a large number of users?The word crowdsourcing is a portmanteau of "crowd" and "outsourcing".
Which term identifies the amount produced relative to the resources used to produce it?Productivity, in economics, measures output per unit of input, such as labor, capital, or any other resource. It is often calculated for the economy as a ratio of gross domestic product (GDP) to hours worked.
What is it called when a company outsources tasks to a group of people in order to tap into the ideas of the crowd?Crowdsourcing is the practice of turning to a body of people to obtain needed knowledge, goods or services. The term crowdsourcing is a combination of crowds and outsourcing and was coined in 2006 by Wired magazine author Jeff Howe in his article "The Rise of Crowdsourcing."
Is the process of accessing the opinions and beliefs about a brand and uses sentiment analysis?Qualitative social media measurement is the process of accessing the opinions and beliefs about a brand. Sentiment analysis is a measurement that uses technology to detect the mood, attitudes, or emotions of people who experience a social media activity.
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