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Skill 29 · Knowledge Base For Startups
Subchapter 29.229
references/learn/general/surveysparrow-turns-talk-into-traction-for-customer-experience.mdMarkdown5 KBView on GitHub
SurveySparrow (opens in a new tab) is an experience management platform designed to help mid-market businesses capture, analyze, and act on feedback across surveys, reviews, and social channels. With AI-powered analysis and real-time loop closures, it enables organizations to turn fragmented responses into actionable insights that improve customer experience at scale.
Running on AWS, the platform handles millions of survey loads each month while maintaining high availability and speed. Leveraging generative AI on AWS, SurveySparrow empowers teams to respond faster, personalize experiences, and drive measurable outcomes.
SurveySparrow was designed for mid-market brands which receive high volumes of feedback but lack the capabilities to gain intelligent insight. Its platform pulls together data from numerous touchpoints including email, apps, kiosks, socials, and review sites, and uses AI to help businesses cut through the noise, find what matters, and act fast.
“We work with CX and insights teams that need direction,” says Rishul Raj Aggarwal, Business Unit Head at SurveySparrow. “We help them figure out what to prioritize, how to improve, and how to close the loop.”
From the start, SurveySparrow built on AWS to stay agile while scaling globally. “We needed reach and flexibility without the complexity,” says Aggarwal. “AWS let us grow fast and stay focused.”
The platform is deployed across five AWS Regions (opens in a new tab), including the AWS Canada (Central) Region and the AWS Middle East Region, supporting local compliance, low-latency performance, and a unified backend that’s easy to maintain and scale. The architecture delivers over 99.999 percent availability, less than 0.01 percent API error rate, and 95 percent of API calls served in under 100 milliseconds. It also handles tens of thousands of concurrent users during peak periods and supports large-scale surveys with over a million participants across regions.
SurveySparrow runs on lean architecture, optimized for scale without the sprawl. Its engineering team, comprising just five DevOps, delivers at a pace and volume that rivals enterprise platforms.
The team uses Anthropic Claude Sonnet (opens in a new tab) in Amazon Bedrock (opens in a new tab) to power real-time summarization, clustering, and sentiment scoring. For client-specific needs, Amazon SageMaker (opens in a new tab) supports custom models trained on domain-specific data to reflect industry-specific language, tone, and context.
To ship fast without re-architecting, it relies on AWS Lambda (opens in a new tab) and AWS Step Functions (opens in a new tab) to prototype and automate everything from experimental features to production workflows. “They’re like our idea accelerators,” says Aggarwal. “We just spin something up and go.”
SurveySparrow supports businesses across healthcare, finance, and other regulated industries where trust isn’t optional. As such, security and privacy are core to the platform’s architecture.
“All of our products run on AWS,” says Aggarwal. “Security is one of those areas where you can’t afford to improvise. With AWS, we’ve been able to build systems that pass audits without slowing down our roadmap.”
The platform meets key industry standards including HIPAA, SOC 2, AICPA, and ISO. Security is embedded at every layer, from infrastructure to engineering workflows, enabling speed while maintaining robust security. The team uses services like Amazon GuardDuty (opens in a new tab), AWS CloudTrail (opens in a new tab), AWS Config (opens in a new tab), Amazon Inspector (opens in a new tab), and AWS Secrets Manager (opens in a new tab) to ensure visibility, compliance, and data security across its operations.
Today, SurveySparrow processes millions of survey loads every month. Customers like Tata Digital, MotoGP, Decathlon, and Paysafe use the platform to capture feedback in real time, make decisions rooted in live data, and drive measurable CX improvements, from service recovery to product design.
“We built this platform to serve companies that care about experience but don’t have giant teams or unlimited budgets,” says Aggarwal. “AWS has helped us deliver that vision at scale, and without compromise.”
Most startups face a similar challenge: a desire to innovate and grow with limited resources. AWS Activate (opens in a new tab) is helping overcome this by providing early stage organizations with access to AWS Credits (opens in a new tab) which can be used to offset the cost of more than 200 AWS services. Founders can also unlock tailored support from cloud engineers, architecture guidance, and a range of resources needed to build, scale, and grow. Discover AWS Activate today.