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Surveys #37

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lindsayboylan opened this issue Jun 10, 2020 · 0 comments
Open

Surveys #37

lindsayboylan opened this issue Jun 10, 2020 · 0 comments

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@lindsayboylan
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lindsayboylan commented Jun 10, 2020

What

A survey is a tool to gather data quickly, typically quantitative data such as preferences, attitudes, or characteristics on a specific topic. While you can collect qualitative data from surveys, at scale this becomes difficult to analyze.

Why

  • Surveys are used when we want to collect specific quantitative information, such as "how well does this meet your current need."
  • They are useful in gathering feedback from a large set of users.
  • Surveys provide stakeholders with confidence (aka numbers)

When

  • We have specific questions with specific quantitative answers ("how important is this feature to you?")
  • We require precision that comes from a large set of data (user responses)
  • Intercepting users during a task (such as interacting with a new feature)
  • Quantifying results from a qualitative study (such as interviews, field studies, etc)
  • Evaluating Usability
  • Continuous Feedback Surveys
    • Net Promoter Score (NPS)
    • Customer Satisfaction Score (CSAT)
    • Customer Effort Score (CES)
  • Discovery Surveys
    • Who your users are
    • What your users want
    • What they purchase
    • What they think if your brand/product

How

General research study steps

  1. Planning - identify goals and write questions
  2. Identify participants
  3. Create survey
    • We use Google Forms or Typeform
      • Typically, Typeform is used for end-user surveys as it is more aesthetically pleasing.
  4. Circulate survey & set end time
  5. Analyze & decide next steps

Pro Tips

  • Questions asking users to rank or rate are easy to analyze. Open questions asking "why" are more difficult and often allow users to speculate on behavior, which is unreliable.
  • Use balanced scales

Helpful reads

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