SaaS startup Leverel tackles the declining response rate of form-based surveys by deploying AI voice agents to collect customer feedback. Their platform utilizes natural conversation to capture rich, qualitative data, offering CXOs a high-engagement alternative to traditional methods that often miss emotional nuance and context.
-- Montego Bay - In the cutthroat world of customer retention, feedback is gold. For years, the undisputed mining tools have been the digital pick and shovel: forms. Giants like Google Forms, SurveyMonkey, and the aesthetically pleasing Typeform have built empires on the simple premise of asking questions and getting answers in neat, quantifiable rows.
But a growing number of Chief Experience Officers are starting to believe the reserve is running dry.
Survey fatigue is no longer a buzzword; it’s a budget line item killer. Response rates are plummeting, and the data that does come back often lacks the nuance and emotional texture needed to make truly impactful decisions. The industry's solution has been iterative: make forms prettier, add conditional logic, and embed them in emails. Yet, at their core, they remain a chore.
Enter Leverel, a micro SAAS by a solo founder, which argues the future of feedback isn't a better form, but no form at all. Their proposition is both radically simple and, on its face, incredibly risky: they want to call customers on the phone.
Not with a cavernous call center, but with a surprisingly human-sounding AI that engages users in natural, open-ended conversations to gather feedback.
“As an industry, we’ve spent two decades optimizing a fundamentally unnatural user interaction,” says Leverel’s founder, Kim-Dave Willie. “We ask customers who love talking about their experiences to instead peck away at tiny radio buttons on a screen. It’s insane. We’re losing 90% of the insight we’d otherwise get from a conversation.”
The platform works like this: A company defines a goal—say, understanding why users abandoned their shopping cart. Instead of designing a multi-step Typeform, the team can provide Leverel’s AI with an objective defined by prompts, or they can simply add a list of questions. Leverel then initiates automated, yet personalized, voice calls to the relevant customer segment.
The AI is designed not just to ask questions, but to listen. It can understand intent, parse follow-up questions from a customer’s rambling answer, and detect sentiment—like frustration or delight—in the user’s tone of voice. The entire conversation is transcribed and analyzed, with the dashboard presenting CXOs with not just data points, but thematic summaries, and overall sentiment scores.
It’s a world away from the quantitative, and often sterile, data provided by incumbents. While JotForm and Google Forms excel at collecting structured data at scale for free or very little cost, the contender among form builder alternatives, Leverel, is betting on the value of qualitative insight.
“A multiple-choice question can tell you that a customer was unhappy,” Willie explains. “A real conversation tells you why they were unhappy, what they were trying to do, and what you could have done to make them a raving fan. The ROI on that kind of insight is invaluable.”
But the approach is fraught with perceived risks, which may explain the startup's quiet approach to market.
First, there’s the ‘creepiness’ factor. Will customers recoil from a call with a bot, however human-sounding it may be? Across industries, early pilots suggest a surprising tolerance, especially when the interaction is framed as a quick, convenient alternative to a "boring survey." The key, Leverel claims, is transparency and giving the user an immediate and easy way to opt-out.
Second is the issue of scalability and cost. Voice-based AI is inherently more expensive to run than a web form. Leverel will be a premium product, forcing marketing departments to make a calculated bet: is a 60% response rate with rich, conversational data worth more than a 5% response rate from a free Google Form?
Finally, there's the challenge of data analysis. The beauty of a form is its structure. How is ramble quantified? Leverel’s backend relies on sophisticated natural language processing (NLP) to tag, categorize, and surface themes from thousands of unique conversations, turning a potential data swamp into an actionable report.
Despite these hurdles, Leverel represents a fundamental challenge to the feedback status quo. It posits that the path to more data isn't by reducing friction in the existing, broken model, but by meeting customers where they are—ready to talk, but not to type. It’s a gamble that the truest, most valuable feedback comes from conversation, not clicks.
For CXOs clinging to their form-completion-rate dashboards, this new world might seem risky. But as customers increasingly ignore survey requests, the real risk may be not picking up the phone.
Leverel is now live. Take a test drive by clicking here.
Contact Info:
Name: Kim-Dave Willie
Email: Send Email
Organization: Leverel
Address: 50 City Centre Plaza City Centre Private Rd, Montego Bay, St. James 00000, Jamaica
Website: https://leverel.app
Source: PressCable
Release ID: 89177042
If there are any errors, inconsistencies, or queries arising from the content contained within this press release that require attention or if you need assistance with a press release takedown, we kindly request that you inform us immediately by contacting error@releasecontact.com (it is important to note that this email is the authorized channel for such matters, sending multiple emails to multiple addresses does not necessarily help expedite your request). Our reliable team will be available to promptly respond within 8 hours, taking proactive measures to rectify any identified issues or providing guidance on the removal process. Ensuring accurate and dependable information is our top priority.
