Strella’s cover photo
Strella

Strella

Software Development

New York, NY 3,522 followers

AI-moderated interviews and real-time synthesis, delivering human insights at scale

About us

Strella is an end-to-end customer research platform that uses AI to deliver human insights 10x faster, so teams can make smarter decisions in hours, not weeks. No more trading off between high-quality research and speed.

Website
strella.io
Industry
Software Development
Company size
2-10 employees
Headquarters
New York, NY
Type
Privately Held

Locations

Employees at Strella

Updates

  • Strella reposted this

    Your research just went everywhere you work. Strella now connects directly to your AI tools. Integrate primary research into your work in Claude, ChatGPT, Figma Make, Cursor, Notion and anywhere else with support for custom MCP servers. A UX researcher can now use Notion AI to pull insights from past studies before designing a new one and when the research is done, the findings go straight back in. A product designer can prototype a checkout flow in Claude Code, ask in Strella what users struggled with, and the prototype updates itself around the answer. Research isn't a separate step anymore, it's part of how your team works, end to end. See it in action starting today. Link to book a demo in the comments. #UserResearch #AI #UXResearch #ConsumerInsights #Strella

  • Your research just went everywhere you work. Strella now connects directly to your AI tools. Integrate primary research into your work in Claude, ChatGPT, Figma Make, Cursor, Notion and anywhere else with support for custom MCP servers. A UX researcher can now use Notion AI to pull insights from past studies before designing a new one and when the research is done, the findings go straight back in. A product designer can prototype a checkout flow in Claude Code, ask in Strella what users struggled with, and the prototype updates itself around the answer. Research isn't a separate step anymore, it's part of how your team works, end to end. See it in action starting today. Link to book a demo in the comments. #UserResearch #AI #UXResearch #ConsumerInsights #Strella

  • If you're heading to Quirk's Chicago next month, block off April 14th at 5pm. We're one of the sponsors of the WIRe pre-show party at Gibsons Rosemont before the conference officially starts. Drinks, food, and time to talk to people before everyone's schedule gets packed. WIRe has been creating space for women in research for years. As a female-founded company, we wanted to back it. If you're going to be there, let us know. We'd love to meet you. Haven't registered yet? Check out the link in the comments! #WIRe #FemaleFounded #Quirks #Strella

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  • View organization page for Strella

    3,522 followers

    What’s it like being a user of the product you’re designing? That’s what we asked Strella’s product designer, Adam Barley. Adam designs for Strella and is also one of our core users. He runs prototypes through Strella, analyzes the sessions, pulls insights — the same workflows our customers use every day. Which means every design decision he makes, he has to live with. That changes everything, so we asked him what it's actually like to design for your own use case. *What's it like designing a product that you yourself use day-to-day?* "It removes a layer of guesswork. You're not just interpreting user needs — you're feeling friction, spotting gaps, noticing opportunities in real time. There's a constant feedback loop between 'designer me' and 'user me.' You can't hide behind assumptions when you're the one experiencing the product firsthand." *How does that show up in your design process?* "I can move from observation to iteration fast. If something feels unclear or slow during my own workflow, I don't just log it — I can immediately contextualize it. I know what I was trying to achieve, what I expected to happen, and where the experience broke down. That context makes design decisions sharper. They're grounded in real use cases, not hypothetical ones." *Can you give an example?* "Heatmaps. As a designer, understanding how users interact with a prototype is everything. Before Heatmaps, we had strong qualitative insights from interviews, but there was still a gap when it came to visualizing behavior at scale — where users click, hesitate, or deviate from expected paths. Heatmaps let you see exactly how users move through a Figma prototype. Which screens they visit. Where they click. Where friction emerges. It bridges the gap between what users say and what they actually do. That's where the most valuable insights live. This is something I would naturally push for because it directly impacts how confidently I can make decisions. Instead of relying on intuition alone, I can validate whether a layout is working, whether a CTA is being noticed, whether a flow is breaking down — all before a single line of code is written." *What does it mean to you personally to be building in this space?* "I'm solving problems I genuinely care about. I've always relied on user research to guide decisions, but traditional methods can be slow and resource-heavy. Working on something that makes high-quality insights faster and more accessible feels meaningful — not just as a product challenge, but as a shift in how teams can build better products. Designing for users is one thing. Designing *as* a user is something else entirely. It creates a level of accountability and clarity that's hard to replicate any other way."

  • Maya nails it: the real unlock isn't just faster analysis on a single study. It's what happens when your entire research history becomes instantly searchable. Pattern recognition across six months of customer conversations. Answers that span multiple studies without opening a single deck. This is the research library in action and it's already live in every workspace.

    Here's something most research teams don't realize about their Strella workspace: it's not just analyzing one study at a time. It's building a living research repository. Every interview you run in Strella stays queryable. When you ask our AI Chat a question, you control the scope. Search across a single study, or pull from your entire research history. And because you can upload past research conducted outside of Strella, including human-moderated sessions, your full research history lives in one place. No data is ever lost. Every insight is surface-able. Ask one cross-study question and the value becomes immediately obvious. Someone asks: "What have customers said about pricing across these 6 studies?" And instead of opening six different decks and trying to remember which study covered what, they toggle on all the relevant studies and get an answer that pulls from every conversation. The flexibility matters. Sometimes you need tight focus on just the feature feedback study from last sprint. Other times you need the full picture: every mention of a pain point across six months of customer interviews. You choose which studies to include in each query. Strella's AI Chat won't just repeating what participants said. It will connect patterns you might have missed. A friction point that came up in onboarding interviews last month might echo something from a churn study you ran in Q3. When you search across studies, Strella surfaces those threads. This is especially powerful for teams who run continuous research. Product managers launching something new can ask: "What do we know about how users currently solve this problem?" and search their full catalog. Customer success can query one targeted study or span multiple. Your call. Your Strella workspace gets smarter as you use it, but only on your data. Nothing you upload trains a broader model or gets shared outside your instance. It's your proprietary research intelligence. If you're running multiple studies and still treating each one like a standalone project, you're leaving insight on the table. Start querying across your whole research catalog. You'll be surprised what surfaces. #Strella #UserResearch #QualitativeResearch #ProductInsights #ResearchOps

  • View organization page for Strella

    3,522 followers

    Meet Ethan Longo our newest Customer Operations Associate! Ethan joined us in our New York office, bringing experience from Guidepoint where he developed a strong foundation in supporting complex research workflows. Originally from Connecticut, he's been helping our customers get the most out of their research processes — from study design to delivering actionable insights. What drew us to Ethan was his blend of operational rigor and genuine curiosity about how research creates business impact. He asks the right questions and has a knack for turning ambiguity into clarity for the teams he supports. Outside of work, Ethan enjoys golf and hiking. In his role, Ethan works directly with customers to ensure their research runs smoothly and delivers the depth they need to make confident decisions. We're excited to have him on the team!

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  • More reflections from our team after an exhilarating week speaking with industry leaders at Quirk's Media Dallas!

    "Should we do qual or quant?" is another conversation I kept having at Quirks last week in Dallas. The overwhelming conclusion from my conversations: You need both. Quant tells you what's happening. Qual tells you why. Without quant: You're guessing which problems matter. Without qual: You're guessing what to do about them. Here's the unlock: They're not sequential. They're parallel. Run surveys AND interviews at the same time: → Surveys validate whether the problem is real at scale → Interviews explain what's actually driving the numbers → Together, they give you confidence to act We see teams make two mistakes: Mistake 1: Survey-only "85% want better search!" Better how? What's broken? What would success look like? Nobody knows. So they guess. And build the wrong search. Mistake 2: Interview-only "12 users told us X is a major problem!" Is it 12 out of 15? Or 12 out of 10,000? Nobody knows. So they over-index on a vocal minority. The best teams don't choose between qual and quant. They combine them and move with conviction. #Strella #GTMStrategy #StartupCulture #GrowthMindset #FounderLife

  • Strella reposted this

    View profile for Maya Kennedy

    Strella670 followers

    Privacy in research just got a lot more flexible. If you work in health, finance, or any field where participants share vulnerable stories, we built these two new features for you. We've launched two new selective blurring capabilities: ⭕ Webcam Blurring Protect identities without losing session integrity. The participant's face remains blurred, allowing them to speak freely on high-profile or personal topics while you verify a real human is present. 💻 Screen Blurring Shield sensitive data in real time. Perfectly hide account numbers or payment details during specific tasks (like navigating a bank portal) and bring the screen back into focus when the moment passes. Why it matters Researchers often find that participants open up more in these sessions than they would with a human interviewer — about finances, health, relationships. That openness is valuable. It also means the responsibility to protect it is real. Now you can capture that honesty without compromising their security.

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  • Strella reposted this

    View profile for Priya Krishnan

    Strella7K followers

    We spent this week at Quirk's Dallas, and I kept having the same conversation. Someone would stop by our booth. They'd be curious about AI in research, but cautious. And then they'd say it: "But what about fraud? How do I know these participants are real?" It's the right question. And honestly, it's why we built what we built. During my talk at the conference, I got to share how Strella approaches this: we're not just accelerating qualitative research. We're adding layers of fraud detection that wouldn't be possible manually. Real-time analysis of response patterns. Flagging inconsistencies across interviews. Protecting data quality while moving fast. The response was immediate. Researchers came up afterward — relieved, energized, ready to try something they'd been skeptical about. Here's what I'm taking away: the research community isn't afraid of AI. They're afraid of bad research. They want speed, but not at the expense of rigor. We're building for that exact tension. Fast insights that you can trust. If we talked this week — thank you. If we didn't, let's connect. This is just the beginning. #QuirksEvent #FraudinAI #ConsumerResearch #FounderLife

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