Ranking & Annotations
Ranking questions are defined as a survey type of various questions for getting respondents to order a list of answers in a ranked order which leads to obtaining valuable quantitative research data. This type of question allows respondents to identify which objects are most and least preferred. Their integral part are annotations, which help AI-based systems in various processes of recognition, comparisons, targeting, labeling, predicting, and final decision making.
The important thing to remember is that ranking questions are not a synonym for rating questions. Rating questions are questions where users are asked to indicate the level of their personal metrics on things, such as the level of frequency, product or service satisfaction level, or agreement on some assumptions.
Those questions aren’t valid things to rely on when it comes to mining precise data about some subject because it offers choices shortcuts, which doesn’t leave much space for investigating users’ preferences. Some example forms of ranking questions will be listed below:
- Text box questions – When users type in their preferred ranking of provided options.
- Select Box – When users rank items in the box by clicking arrows provided on a sidebar.
- Drag and Drop ranking – Type of ranking in short form lists, when users rank items against each other, based on personal preferences order.
Tasq.ai’s customers are able to apply ranking solutions leveraging millions of Tasqers from over 150 countries to answer questions on a variety of subject matters. Our multidisciplinary solutions enable the ranking of visuals per use case, via an objective crowd in order to reach a judgment consensus. Mass-user-oriented applications benefit substantially from our ranking and survey solutions in order to better understand large target markets.
Our high-speed, large-scale ability to reach millions of online users in seconds, enables advanced data science teams to quickly and accurately analyze data for high-speed environments such as social media & advertisement markets.