Dscout MCP prompt library

To spark inspiration when using the Dscout MCP, we've compiled a prompt library to kickstart your conversations.

Below, you'll find starter prompts for simpler tasks the MCP can take off your plate and prompts to help you build multi-step workflows directly in your AI tool of choice.

Tip: Copy a prompt and paste it into your chosen AI tool's chat window, customizing the text in brackets to fit your specific research.

Starter prompts

These prompts focus on smaller tasks the MCP can quickly streamline for you, helping you complete quick tasks from your to-do list.

Drafting

Draft a new usability test

Draft a usability test to learn how [audience] reacts to [feature/prototype], including 3 screener questions to qualify them.

Modify a usability test

Add a task to my study where participants complete [flow], asking them to rate how easy or difficult they found the task.

Recruitment and launch readiness

Set incentive and check launch readiness

Set the incentive for [study] to [incentive] and tell me if anything is blocking launch.

Flag bad-fit applicants

Show me the applicants for [screener] ranked by fit, flagging any who don't match my target criteria.

Analysis

Pull quotes with sources

Pull direct quotes from [study] where participants struggled with [flow], providing sources for each quote.

Compute completion metrics

Compute the completion rate and average time-on-task for [flow/task].

Filter responses by topic

Filter entries in [study] where participants mentioned [topic], and show me who those participants are.

Summarize response themes

Summarize the top 3 themes from [study], with supporting quotes and sources.

Compare responses from multiple studies

Compare [metric] between [studyA] and [studyB].

List clips from responses

Grab clips from [study] showing the moments participants got confused.

Working with prototypes

Address pain points directly in Figma Make

Assess the top pain points from [study] and suggest changes to my prototype to address them.

Build a study based on a Figma Make prototype

Take the most recent version of my [prototype] and draft a Dscout usability test focusing on my latest design.

Study reuse

Duplicate a study

Clone [study] for next quarter's follow-up round.

Multi-step workflow prompts

These prompts combine several tasks in one request rather than separating them out like the prompts above. Use these when you've acclimated to using the Dscout MCP and are ready to use it for more complex workflows.

Clone and launch a study with new recruitment criteria

Find a study related to [topic], clone it, update the incentive to [incentive] and swap in [criteria]. Then, launch it as a new usability study, keeping everything else the same.

Create new study from previous findings

Look at [study]'s results, pull out the top pain points, and draft a new usability study that specifically tests fixes for those.

Compare studies and create a follow-up

Compare [studyA] and [studyB] on [metric]. If [studyB] performs worse, clone [studyA]'s setup for a follow-up round targeting the same audience.

Clone and launch a study with new tasks

Take [study], create a new version that removes [task] and adds [task]. Then, launch this new version as a separate study without touching the original.

Summarize cross-study findings

Across the studies in [project], find every place participants ran into [problem]. Then, summarize what they said, with sources.

Identify outliers in a specific timeframe

Compare [metric] across all my usability tests in [timeframe], and tell me which ones are outliers.

Learn more

Learn more about the Dscout MCP in these articles:

Dscout MCP overview

Set up the Dscout MCP

Best practices

MCP tool breakdown

Troubleshooting