In the modern product landscape, feedback is everywhere. It lives in your support tickets, your App Store reviews, your sales calls, and your social media mentions. But for fast-growing companies, the problem isn’t usually getting feedback—it’s making sense of it.
At Lexsis AI, we don’t just collect data; we decode the voice of your customer.
We are often asked how our process works, from the first handshake to the final dashboard insight. Here is an inside look at how we approach customer feedback analysis and how we partner with scaling teams to reduce churn and build better products.
1. The Fit: Are We Right for Each Other?
We operate on a rolling client basis, meaning we prioritize quality partnerships over volume. Before we sign a contract, we start with an introductory call to ensure our solution aligns with your specific pain points.
You are likely a perfect fit for Lexsis AI if:
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You are drowning in data: You have feedback pouring in from multiple sources and can no longer manage the analysis manually.
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You are resource-constrained: You need high-level CX (Customer Experience) analysis but don't have the bandwidth to hire a dedicated analyst or want to save on that headcount.
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You face a "Listening Gap": You have the data, but you can’t make sense of it at scale to understand how customers genuinely perceive your brand.
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You want to stop churn: You care deeply about building for the people and need to identify friction points before users leave.
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You crave a competitive edge: You want to stay alerted to competitor moves and discover hidden market insights or new offering opportunities.
2. Who We Build For
While we love all innovators, our engine is currently tuned to support Product Teams in the B2B and B2C space.
Our sweet spot includes companies with 50 to 200 team strength who are in a hyper-growth phase—typically those who are scaling fast or have raised funding within the last 18 months. These are the environments where data volume spikes rapidly, and agile decision-making is critical.
3. The Onboarding Journey
We believe in a high-touch onboarding experience. It starts with a call with our Founder to evaluate the problem-solution fit. Once we align on your goals, we move to Integration.
We know that every tech stack is unique. We assess the integration bandwidth required from your team. While we offer a suite of pre-built integrations, we also build custom connections based on what you use.
Once we gather your requirements and connect to your data sources, we don't just wait for new data. We ingest your historical feedback immediately to run a retrospective analysis, giving you a baseline of insights from day one.
4. Data Security and Privacy: Your Trust is Our Currency
We understand that customer data is the lifeblood of your organization. We take a security-first approach to how we handle your information.
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Strict Usage Policy: We do not train our models on your data. Your proprietary information remains yours. The only exception is if we require fine-tuned models to analyze your specific niche better, in which case we will explicitly consult you and outline it in the contract.
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On-Premise Deployment: Worried about cloud security? We offer on-premise deployment options for clients with strict data residency requirements.
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Compliance: Our compliance certifications are currently in progress and will be finalized within the coming months.
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RBAC (Role-Based Access Control): Security isn’t just about us; it’s about your internal team, too. When you sign up, everything is controlled by strict RBAC. Your Admin has total control via the App Centre to decide exactly who sees what data.
5. The Outcome: Insights at the Speed of Thought
Once the feedback starts flowing, our state-of-the-art AI and ML models get to work.
We analyze feedback on a rotational basis depending on your volume. Typically, the turnaround time for actionable analysis is just one day.
You won’t be staring at raw spreadsheets. You will have access to:
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Visual Dashboards: Charts and graphs that track sentiment and trends over time.
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Custom Views: Create view-specific dashboards for different stakeholders (e.g., one for Product, one for CS).
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Natural Language Querying: This is our favorite feature. You can simply ask the platform questions in plain English, like "What are users saying about the new login feature?" or "Why is churn increasing in the Enterprise segment?" and get immediate answers.
Ready to listen to your customers at scale?
If you are ready to move beyond simple surveys and start leveraging deep, AI-driven insights, we’d love to chat. Let’s build a product your customers love, together.