Open ended questions or not for screener surveys?
I am preparing my first screener survey to recruit some participants for an interview.
I am getting mixed views on if these questions should be open ended or not.
For example, I have the following questions:
How often do you shop in Towns…
[Don’t] listen to your customers
Today’s product and design leaders often rely heavily on the word of their customers when building their product road maps; whether it’s a customer survey or a phone interview, loads of qualitative data through these methods is being collected and used to dictate how to design and develop products. Seems like a foolproof plan, right? Actually, no—a sole reliance on customer input and feedback is built on an antiquated model of human decision making that assumes humans are rational.
[Don’t] listen to your customers
Today’s product and design leaders often rely heavily on the word of their customers when building their product road maps; whether it’s a customer survey or a phone interview, loads of qualitative data through these methods is being collected and used to dictate how to design and develop products. Seems like a foolproof plan, right? Actually, no—a sole reliance on customer input and feedback is built on an antiquated model of human decision making that assumes humans are rational.
The Essential Guide to Writing Effective Survey Questions
Surveys are a valuable part of user research efforts – but a good survey is only as good as the questions it asks. UX Booth Columnist Jennifer Leigh Brown presents a comprehensive guide to crafting survey questions that get the answers UX designers needs.
Survey tool to ask questions on individual pages – what are they called?
Is there an off-the-shelf survey tool that can ask simple questions on specific pages? Along the lines of the “Was this information helpful?” on Microsoft’s support pages (example). The user gets asked a simple question and i…
Using 5 Standard Emojis for Satisfaction Survey or any Likert Scale
Satisfaction surveys increasingly use emoticons, i.e. a sad frownie, neutral face and happy smiley. Some additionally use traffic-light color coding (red to green). Let’s asume there are good reasons in a scenario to use 5 instead of the usual 3 (or fewer) levels, much like in a classic Likert scale (which surveys by approval) or a semantic differential rating scale.
Is there a well tested (maybe even conventional or standardized) set of five emojis found in Unicode that
- aligns naturally (across languages and cultures) on a qualitative scale from sad to happy when used together (relative context) and
- has every symbol (across popular / OS-provided fonts and image sets) distinctive enough to be not misidentified when used alone (absolute context)?
I see that Emojiscore, for instance, uses 😄, 😊, 😐, 😟, 😩 (top to bottom). I would have chosen a slightly different set intuitively, e.g. 😡, ☹️, 😐, ☺️, 😍 (left to right). The linked Emojipedia articles show alternative renditions and a recent study examines how some of them are interpreted very differently.
Please note that mood surveys, like Facebook’s response additions to the Like button, are a slightly different topic: Readers select one out of a predefined set of categorical icons to represent their reaction, which usually cannot be put together on a linear scale.
Related questions
- Do emojis provide any value over emoticons? – asked in 2013 prior to Unicode standardization of Japanese telco emojis, about predefined (English) codes vs. arbitrary punctuation sequences
- How should a survey (Likert Scale) be presented in a mobile application?
- Is it better to use a Likert scale or Semantic Differential for gathering attitudes towards pages?
Survey writing best practices
My team at work is seeking a standard format for all survey questions meant to assess sentiment towards feature X (e.g., satisfaction, challenge level, enjoyability, navigability, etc.).
Imagining each is Likert scaled from …
Is it better to use a Likert scale or Semantic Differential for gathering attitudes towards pages?
For gathering users’ emotional reactions to web pages via a survey, a researcher could use either a Likert scale (e.g., Agree Strongly – Agree Somewhat – Indifferent – Disagree Somewhat – Disagree Strongly) or a semantic diff…
Is it better to use a Likert scale or Semantic Differential for gathering attitudes towards pages?
For gathering users’ emotional reactions to web pages via a survey, a researcher could use either a Likert scale (e.g., Agree Strongly – Agree Somewhat – Indifferent – Disagree Somewhat – Disagree Strongly) or a semantic diff…
Same labels required on all questions in a Likert scale?
I’m preparing a UX survey which will use a Likert scale.
Personally I’d rather use the same labels configuration for all the questions/items such as :
1. Strongly disagree
2. Disagree
3. Neither agree nor disagree
4. Agree
…