User interview snippets
Tag quotes from user interviews by the pain they describe and how serious it is.
Columns to upload
Name the columns in your CSV like this. Extra columns are fine: every column of the row is sent with the questions.
| Column | What it holds |
|---|---|
participant | Participant ID |
quote | The quote from the transcript |
context | What the interviewer asked |
Questions
Each question adds a column to your file. The answer is one of the listed values, or Unsure when the model's confidence is below the cutoff: 70% for pick-one and scale questions, 80% for yes or no.
| New column | Question | Possible answers |
|---|---|---|
pain_pointYes or no | Does the participant describe a problem, frustration or workaround? |
|
severityScale | How much does the problem cost the participant? |
Lowest to highest |
workaroundYes or no | Does the participant describe doing something by hand or with another tool to get around the problem? |
|
feature_requestYes or no | Does the participant ask for a specific feature? |
|
Example row
| Column | Value |
|---|---|
participant | P07 |
context | How do you track what you've ordered? |
quote | I keep a spreadsheet of every bottle because the account page only shows the last three orders. |
Answers from a test run on this row
| Column | Answer | Confidence |
|---|---|---|
pain_point | yes | 98% |
severity | costs time or money | 83% |
workaround | yes | 96% |
feature_request | no | 87% |
More research use cases
| Use case | What it does | New columns |
|---|---|---|
| Survey open-ended answers | Code the free-text answers of a survey into themes and sentiment, and pull out the ones that name a specific change. | theme sentiment actionable off_topic |
| Literature review abstract screening | Screen the titles and abstracts of a literature search against your inclusion criteria before you read the full texts. | design population outcome include |
| News and media content analysis | Code news articles by frame and tone for a media study. | frame tone cites_study |
| App store reviews | Sort app reviews into bugs, requests and praise, and see which version the problems come from. | category sentiment crash |
| Social listening posts | Code public posts about a topic by stance, and separate first-hand experience from repeated claims. | on_topic stance first_hand health_claim |