Explore your data
With Dscout AI, you can get a jump start on analysis by exploring your data in an unstructured, interactive chat. Ask questions about your data, define the specific context, and let Dscout AI find the answers. Then, use the data and sources provided by Dscout AI to dive deeper into participant responses.
Chats reset after eight hours and Dscout AI prioritizes your most recent interactions. You may need to provide additional context when referring to messages further back in the chat history.
Access explore your data
Select your study type below to learn how to explore your data with Dscout AI:
Tip: Try clicking the Explore button beside AI themes and charts in usability tests, media surveys, and AI moderated studies to bring that data directly into a chat as context.
To explore your data in a usability test:
Navigate to the Responses tab of your study.
Click the Explore your data icon in the left sidebar.
Now, a chat window is displayed. Want to quickly identify pain points in a user flow? Need a handful of quotes that support a new marketing strategy? Just enter your question and let Dscout AI do the rest.
To explore your data in a media survey:
Navigate to the Responses tab of your study.
Click the Explore your data icon in the left sidebar.
Now, a chat window is displayed. Want to quickly identify pain points in a user flow? Need a handful of quotes that support a new marketing strategy? Just enter your question and let Dscout AI do the rest.
To explore your data in an intercept study:
Navigate to the Responses tab of your study.
Click the Explore your data icon in the left sidebar.
Now, a chat window is displayed. Want to quickly identify pain points in a user flow? Need a handful of quotes that support a new marketing strategy? Just enter your question and let Dscout AI do the rest.
To explore your data in an AI moderated study:
Navigate to the Responses tab of your study.
Click the Explore your data icon in the left sidebar.
Now, a chat window is displayed. Want to quickly identify pain points in a user flow? Need a handful of quotes that support a new marketing strategy? Just enter your question and let Dscout AI do the rest.
To explore your data in an interview study:
Navigate to the Sessions tab of your study.
Click the Explore your data button in the bottom-right corner.
Now, a chat window opens in a new tab. Want to quickly identify pain points in a user flow? Need a handful of quotes that support a new marketing strategy? Just enter your question and let Dscout AI do the rest.
Define chat context
When exploring your data with Dscout AI, you can guide it to certain questions or responses in your prompts. Here are some example prompts:
In Q5, which prototype did participants prefer?
In the interview sessions with participant A, participant B, participant C, what were their biggest concerns or hesitations?
Review response sources
When Dscout AI provides a response, it will cite its sources so you can take a closer look at where the data came from. Sources lead directly to individual participant responses or sessions so you can see the larger context.
To review response sources, click a source from beneath the response or click See more:
That response’s sources are displayed in a modal. Click a source to go straight to that response.
Or, click a participant’s name to go to their session:
Rate chat responses
To help improve the quality of Dscout AI’s responses, you can rate every response it provides to you. If a response was good, give it a thumbs up. If a response was bad, give it a thumbs down.
Submitting your feedback will help us continuously improve Dscout AI across all of Dscout, not just when exploring your data.
View chat history
Analysis can send you in many directions, so it can sometimes be helpful to revisit previous chat threads. Pick up where you left off, ask further questions, and continue analysis you already started.
Note: You only have access to your own previous chats, and the chat history is study-specific. You’ll only see chats from the study through which you access Dscout AI.
To view your chat history, click the History (clock) icon in the left sidebar:
Now, a list of your previous chats is displayed. Click any chat to open it again right where you left off:
Start a new thread
If you want to explore a new idea within your data, you can start a new thread. This leaves your existing thread in its current state.
To start a new thread, click the New thread (plus) icon in the left sidebar:
Now, a new chat opens where you can talk through new ideas and explore your data from the beginning.
What can I ask?
When using Dscout AI, it’s important to keep in mind the general strengths and weaknesses of any generative AI tool. We’ve put together a list of things Dscout AI excels at as well as a list of some things that might be best saved for manual analysis to help guide your interactions.
Excels at
Dscout AI is great for the following types of requests:
Understanding qualitative data
What are some themes in responses about feature X?
Summarize participant feedback on the onboarding process collected in Question 3.
Finding specific information
Show me 3–5 quotes that mention usability issues.
What did participants say about the checkout experience?
Generating insights
What are some of the pain points users experienced?
What suggestions did participants offer in Question 8 for improving the feature?
Exploring sentiment
How did participants feel about the new interface?
What aspects of the product received positive feedback?
May struggle with
Dscout AI may have difficulty with the following types of requests:
Segment comparison
How do responses vary based on age? Compare 18–24 yr olds to 25–30 yr olds.
How do feelings towards this feature differ between paid and unpaid subscribers?
Auto-filtering or study modification
Find me video responses from frequent users.
Tag all responses that mentioned X with “X” tag.
Quantification or quantitative analysis
How many participants experienced X issue with the feature?
What was the average amount of time spent on task #2?
Analysis with studies that were edited post-launch
Changing a study post-launch affects how data is stored, which can lead to unreliable AI responses.
To learn more about how Dscout AI can help speed up your research, see Dscout AI.
For information on how Dscout works to keep your data safe when building AI features, see AI privacy and security in Dscout.