Strella can place any kind of stimulus inside a study, and it records each participant's screen and video while they respond to it. A brand team with two cuts of the same television spot can put both into one study, then give the editors deciding which cut goes to air, for each cut, a recording of every participant watching it next to what that participant said about it.
Recruitment reaches business buyers and consumers alike, with Respondent.io and User Interviews named as partners, and a team can put questions to an AI about a single interview or across all of its sessions. That suits a product team that brings research into its weekly planning and wants the evidence close at hand when it does. A product manager preparing a roadmap review can ask what customers said about one feature across every session, rather than rereading each conversation in turn to find the passages that matter.
Where a single study has to hear from more than one kind of customer, such as first-time buyers and long-standing ones, Pulse recruits several groups under one brief, each with its own profile and screener. Strella collects quantitative survey data beside its interviews, and Pulse runs surveys on the same platform as its interviews, for when the findings raise a question of scale, how many customers share a view. For a measure the team follows from quarter to quarter, a Pulse tracker asks the same questions again over time, so a change shows. That combination serves an insights function planning a year of studies around the measures it returns to.