QANDR is designed for inclusive discussions in smaller groups (between 6 and 16 people). During a QANDR session, respondents use their phones to simultaneously respond to an assignment and their actions are immediately visible on the main screen, which can act as a trigger, a kind of kickstarter for your discussion. The idea of QANDR is that all respondents can elaborate on their actions even during the discussion, so there is also room within the meeting to discuss their point of view and compare it with the other opinions. The ideal group size to facilitate this type of dynamic is between 6 and 16 people. If the group size gets larger, it becomes very difficult to involve everyone in the discussion and we think it is inevitable that the meeting will take on the characteristics of a presentation (one-way communication, rather than gathering information from a group).
Yes, it is possible. QANDR is regularly used in groups between 50 and 100 people, and recently we also had a group of 230 participants. But with these larger groups, you have to consider some limitations. Modules like the Poll, the Grading, and the Wordcloud work fine, but as far as the Wordcloud is concerned, you have to keep in mind that there is no way to moderate the answers given through the phones. So whatever a large group, where people feel more anonymous, sends in will be shown on the main screen.
With the Pointer and also the Moodboard, you also have to consider differences with small groups, especially from an interaction point of view, but also from a technical point of view (performance). From the interaction point of view, the pointer in large groups works more like a heatmap, and because the screen in front of the participants is full of moving dots, it will be harder to figure out which pointer belongs to whom. The mood board works, but because there are so many pictures, they become small and you can't discuss them all. For both the pointer and the mood board, the technical requirements on the local network are higher than for a poll or a wordcloud. With many respondents, the routers on the local network or the internet connection to the outside may not be able to handle all the load created by QANDR, but the last time we saw this happen was in 2018 in a room of 100 people with everyone on the same wireless router. Since then, we have always advised attendees to use both 4G and wifi connections and have never seen the problem again.
Kahoot is a tool that is widely used in schools and also uses phones as an input source. But if you look at the functionalities you see that the comparison is not valid. Kahoot is a tool that focuses on the multiple choice question and therefore lends itself well to a Pubquiz, where right/wrong and a winner can be designated. In QANDR sessions, different opinions are discussed where it is not possible to label them as or right/wrong and therefore it is not possible to assign a score and winner to answers.
Mentimeter is a great tool if you want to quickly get a common denominator of opinions during a presentation in front of a large room, for example at a conference with 80 to 200 visitors. Speakers in this setting do involve the audience in their presentation, but they always remain part of the 'anonymous group' and do not really determine the storyline of the meeting. In QANDR sessions, the focus is on deepening and for that reason the group dynamics are also different. In QANDR sessions it is mainly the participants who are speaking and they determine the storyline of the meeting. In QANDR sessions, there is often no presenter, but rather a moderator who allows different people to have their say. In this dynamic, some unique QANDR modules, such as the Pointer and the Moodboard, can excel. More importantly, the QANDR visuals are always a starting point for the conversation and the idea is that everyone who participates also explains their visualized point of view. This is obviously a dynamic that lends itself more to smaller groups, rather than a conference room setting, where not everyone can speak.
Read more about the added value of QANDR compared to Mentimeter in this article
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