Designing a feedback survey builder, and I'd love your take.
The idea: define a survey once (NPS, CSAT, Like/Dislike or a comment), ask a follow-up question based on the score, and reuse it across AI agents.
A · Form + preview: one form, section by section, with a live chat preview beside it.
B · Step-by-step: the survey laid out as the steps a respondent goes through, edited in place, with the selected step's settings on the side.
Which one would you rather build a survey in, and why? What would you change in either?
I’d probably go with B. It feels more natural to build the survey the same way someone would actually go through it, especially once you start adding conditional follow-ups.
Title:
Research Data Coding & Analysis Preparation for SPSS – Survey Data
Description:
Challenge: Client had raw survey responses (Form Responses 1) that needed to be coded numerically for SPSS analysis.
What I did:
Transformed raw qualitative survey responses into coded quantitative data (1,2,3,4)
Coded variables: Gender, Age Group, Marital Status, Education, Employment, Income, Housing, etc.
Created structured sheets: Form Responses 1 (raw) → Coded (clean) → RII Mean Calculation
Ensured consistency, no missing values, and SPSS-ready format
Prepared data for statistical analysis (Relative Importance Index)
Result: Delivered a clean, coded dataset ready for immediate SPSS import and analysis. Client was able to run their project analysis without extra cleaning.
Note: Sample structure shown only. Actual survey content and respondent details are confidential.