Dovetail combines research and feedback, and AI tools help find themes and source pieces.
Where did the theme come from
When analyzing interviews, trace a general finding back to an individual response. Dovetail stores research material and helps find patterns. In Channels, it groups incoming signals and displays supporting evidence. For a research project, start with sources that address the same question. If the collection method changed in one period, record that difference before comparing periods.
Training analysis of the new interface
Imagine that participants are testing the filter in the order list. In several transcripts, the word "filter" occurs, but the reasons for the difficulty are different. One person does not find the button, the other does not understand the name of the parameter. Open examples that are related to a common topic and decide if it is necessary to divide it. Save two characteristic source fragments. If multiple records describe one case, do not take them for independent evidence of the prevalence of the problem.
Verification before transmission of findings
Before publishing a summary, open the evidence behind each important finding and check the scope of the sample. Keep original interviews accessible only to those who need them. If the team compares time periods, check that the same channels feed both periods. Automated grouping helps start the analysis, and the researcher decides which findings hold up. Bring examples that depart from the common theme to the review meeting as well.
Suitable tasks
- Collect topics from research interviews.
- Check which fragments confirm the command's conclusion.
Strengths
- It groups research materials and incoming feedback.
- There are tools for moving to related evidence.
Limitations
- The output depends on the quality of the source materials.
- The number of references should be checked against the sample composition.
Selection and conditions
- Free access
- Not confirmed
- Trial period
- Not confirmed
- No sign-up required
- Not confirmed
- Russian interface
- Not confirmed
- Local installation
- Not confirmed
- API
- Not confirmed
“Not confirmed” means there is not enough information. The feature may still be available; check the developer’s terms.
- Input formats
- Text, Document
- Result
- Text
Terms
Before sharing the summary, check the sources and rights of the recipients.From task to first result
Practical example
- Task
- Collect topics from research interviews.
- What to prepare
- Anonymized support notes and fictional interviews about one product change.
Task brief or prompt
Group comments on problems. Save the original snippet for each topic. Do not consider multiple reports of a single case to be multiple independent requests.
Expected result
Feedback topics that can be checked from the original messages.
How to check the result
- Separate the request for a new function from the error message.
- Open the original snippets for each topic.
An editorial teaching example of a task brief, not the result of hands-on testing of the service. Check that the required mode is available, that you have rights to the source material and that the intended use of the result is permitted.
Check details
Official sources
This description is based on the developer’s material. Features, prices and availability may change; check the primary source before use.
