other
Ballpark helps product teams run customer research: building screeners, recruiting participants, and summarizing what respondents say. A Neotask agent connected to a Ballpark account can take a research question straight from a product manager, in whatever wording they'd naturally use, and turn it into a structured study: a screener that filters for the right participants, a recruitment push, and a summary once responses come in. That means a PM validating a feature idea doesn't need to design the study mechanics themselves; they describe what they want to learn, and the agent handles translating that into Ballpark's research workflow. Once results land, the agent can pull the summarized insights back into the conversation, so the loop from question to answer stays inside the same working session instead of scattering across a separate research tool.
| Study planning | Converts a research question into a structured study design within Ballpark. |
| Participant recruitment | Recruits respondents matching the study's screening criteria. |
| Insight summarization | Analyzes and summarizes collected feedback results. |
A product manager asks the agent to find out whether current users would want a proposed feature. The agent builds a Ballpark screener targeting active users, recruits respondents, and once feedback comes in, summarizes the key objections and areas of interest back to the PM.
After an initial round of insights comes back mixed, a researcher asks the agent to run a smaller, more targeted follow-up study focused on the specific point of disagreement. The agent adjusts the screener and recruits a narrower group to clarify the result.
No, the agent can turn a plain-language research question into a structured screener inside Ballpark.
The agent recruits respondents through Ballpark based on the screening criteria the study defines.
A summarized set of insights drawn from the collected responses, not just raw answers.
Yes, the agent can design a narrower follow-up study to dig into a specific finding from a prior round.
No, it works for any customer research question that benefits from structured screening and recruitment, not just feature testing.