Strella

What is Strella?

Strella is an AI-powered customer research platform designed to help teams gather, analyze, and share customer insights dramatically faster.It replaces manual recruiting, interviewing, and analysis workflows with an end-to-end system that uses AI to moderate interviews, synthesize responses, and generate actionable insights in real time.The platform handles logistics such as participant recruitment, scheduling, incentives, and global time zone coverage, making qualitative research more scalable for companies of any size.Users can upload or run new interviews, then explore their data through features like AI chat, sentiment analysis, key themes, and video highlight reels.By making high-quality human insights more accessible, Strella aims to help product, research, marketing, and design teams make smarter, customer-centric decisions faster.

How to use Strella?

To use Strella effectively, start by defining your research objectives and creating a study or interview guide within the platform, which the AI can help generate and refine.Next, configure participant recruitment—via Strella’s global panels or your own customers—and let the system handle outreach, scheduling, and logistics.Strella’s AI then moderates interviews or survey-style sessions, dynamically adapting questions based on participant responses while recording and transcribing the conversation.Once sessions are complete, explore your results using real-time synthesis tools such as Explorer and AI Chat to surface key themes, sentiments, and recommendations, and generate highlight reels or summaries to share with stakeholders.Iterate by asking follow-up questions of your research repository, segmenting insights by audience, and reusing prior projects to avoid duplicate work and maintain a living knowledge base.

Strella's Core Features

• AI-moderated interviews dynamically adapt questions based on participant responses for richer insights.

• Real-time synthesis converts raw interview data into themes, sentiments, and actionable insights within hours.

• Automated participant recruitment manages outreach, screening, scheduling, and incentives using global panels or your own users.

• Customizable interview guides are generated by AI and fully editable to match your research goals and workflows.

• Explorer lets you chat with your research to surface tailored insights, themes, sentiments, and recommendations on demand.

• AI Chat supports querying across projects and your research repository, enabling instant answers and report generation.

• Highlight reels automatically compile the most valuable video clips and verbatims for easy sharing with stakeholders.

• Research repository centralizes past and current projects so teams can search, segment, and avoid duplicate work.

• Multi-language interviews and global time zone coverage enable 24/7, scalable research across geographies.

• Stimuli testing allows embedding and testing of product concepts, prototypes, or creative assets during interviews.

• Sentiment scoring and key theme detection provide structured, quantitative views of qualitative feedback.

• Usage-based pricing and no per-seat model make the platform accessible to cross-functional teams.

• Privacy and security controls ensure participant data is handled in compliance with strict standards.

Strella's Use Cases

• #1

  Validating new product or feature ideas with rapid AI-moderated customer interviews.

• #2

  Running continuous user research to understand pain points and opportunities across segments.

• #3

  Testing messaging, positioning, or creative stimuli (ads, prototypes, concepts) with target customers.

• #4

  Analyzing hours of prior user interviews by uploading recordings and querying them via AI Chat.

• #5

  Creating video highlight reels of key customer quotes for stakeholder presentations.

• #6

  Conducting discovery research for new markets or customer personas at global scale.

• #7

  Gathering qualitative feedback after a product launch to prioritize improvements.

• #8

  Supporting UX research teams with faster synthesis of interview and usability session data.