You run interviews. You analyze support tickets. You review session recordings. You synthesize survey data.
The work is valuable. It's also slow, manual, and limited by how many hours you have.
What if you could analyze every customer conversation, not just a sample?
The researcher's scaling problem
- Interviews take time to conduct and analyze
- You can only review a fraction of support conversations
- Synthesis is manual and time-consuming
- Stakeholders want faster answers
You need a way to get broad coverage without sacrificing depth.
How Pelin helps
Pelin analyzes customer conversations across all your channels:
Continuous analysis — Every support ticket, sales call, and survey response, analyzed automatically.
Theme discovery — Surface usability issues you didn't know to look for.
User language — See how customers describe problems in their own words.
Quantified patterns — "This confusion point appeared in 47 conversations this month."
Use AI for breadth. Save your time for the depth work only humans can do.
Built for research workflows
- Semantic search — Find conversations about specific features or flows
- Sentiment tracking — Identify where users express frustration
- Segment filtering — Analyze feedback by user type, plan, or cohort
- Export capabilities — Pull data into your existing research repository
Complement, don't replace
Pelin doesn't replace user interviews or usability testing. It helps you:
- Identify what to investigate further
- Validate findings at scale
- Catch issues between formal research studies
- Keep a pulse on user experience continuously