The following includes key initiatives that the Optimal team is working on in H2 2026. To keep up-to-date with the latest updates, please visit our release notes.
Easily recruit and screen qualified B2B and B2C participants for your interview sessions. Review applicants, select the best fit, manage multiple recruitment profiles and quotas in a single study, track progress in real time, and message participants securely. When interviews are complete, recordings flow straight into Optimal for automated insights, highlight reels, AI Chat, and storage in Optimal Interviews.
Build a profile for exactly who you need for your study with demographics, location, job title, seniority, company size, industry, B2B, language and proficiency targeting. Recruit for multiple audience profiles for a single study, set quotas, automatically exclude previous participants, and save reusable profiles to accelerate future recruitment and analysis.
Guided by your study context, discussion guide, and research goals, the AI Interviewer adapts intelligently in real-time. Customize a discussion guide, response patterns, and follow-up propensity to match your research preferences. Free up your time so you can focus on insights and accelerate decision-making. Review automated key themes, insights, citations, transcripts, and highlight reels. Dig deeper into recordings with AI Chat.
Model Context Protocol (MCP) enables you to connect your Optimal research directly to AI tools, like ChatGPT, Claude, or Cursor. Instantly search years of research, connect findings across studies, analyze interviews, generate reports, create deliverables, and automate research workflows using natural language.
By making research data accessible beyond Optimal, enterprise organizations can combine customer insights with other business data and scale the impact of research across teams. Teams can use the API to integrate Optimal research and study data directly into data warehouses, BI platforms, internal dashboards, analytics tools, and custom applications.