User interview analysis | participant 3 | extracting onboarding issues

[JeannyRen]

Overview

Our first user research results have shown that there is not a unified and documented process for onboarding HfLA after the general onboarding session. To help document a unified onboarding process we have decided to explicitly focus on the analysis of onboarding narratives expressed during the user interviews.

Action Items

• [x] Listen to the interview.
• [x] In preparation of the affinity mapping exercise, generate sticky notes with the themes, ideas, and understandings that you have derived on onboarding from the interview in Figjam.
• [x] Finish organizing the sticky notes.
• [x] After the sticky notes organization, funnel the insights into the following elements in order to better prepare for the insight reports: user pain points, user needs, organizational needs (if applicable), themes, key insights, and if applicable other themes that are of research interest for a later point time.
• [x] Put together the insights in your box in Interview figjam.
• [x] Inform the leads or in case you are lead, your fellow lead.

Generate sticky notes guidelines

Please, read the following guidelines for the sticky note generation exercise. In this way, we increase our understanding during the sorting.

• [ ] Put -Q- on the sticky note if you write down a direct quote from the interview including the regarding time stamp through the following format: -min: 2.28-.
• [ ] If you have a larger code and you want to leave out a part or certain words, please indicate that you have done so by replacing that piece of text with the following -[...]-. In that way, we at least know that there is a piece of information missing from the regarding quote.
• [ ] Put -I- if you write down an insight that you derived from the interview.

Resources/Instructions

Interview Figjam Nielsen Norman Group article on Affinity mapping

[kelenelee]

according to our spreadsheet and figma file, this analysis was completed by @navarroliuanthony and @nasimbiglari