Our VoC Solutions Deliver

Turning customer signals into real-time actions for better CX outcomes.

Always-On Feedback Collection

Capture continuous input from surveys, apps, and digital touchpoints to stay tuned to customer needs.

AI-Driven Sentiment Intelligence

Use natural language processing to analyze tone, emotion, and intent behind customer comments at scale.

Integrated Experience Orchestration

Feed feedback into analytics, personalization engines, and journey workflows to adapt experiences dynamically.

Closed-Loop Resolution & Visibility

Automate issue resolution, perform root-cause analysis, and track CSAT, NPS, and sentiment metrics in real time.

Strategy and Implementation

Unlock your CX platform's full potential

Program Management

Create project roadmap, define milestones, and outline deliverables for a smooth rollout.

Integration

Martech / CRMs / ERPs / Payment gateways like Adobe, Hubspot, SalesForce, Lead Squared, SAP, Oracle , Paypal and other bespoke apps

Platform Assessment

Assess current platform and advise on viability, rationale & fitment

Solution Architecture

Design the overall technical architecture for platform, considering scalability, performance, security, and integration requirements

Turn customer feedback into actionable CX insights.

Implement Feedback Engines

YOU MAY NEED TO KNOW

Frequently Asked Questions

How do Feedback Engines collect customer feedback?

Feedback Engines utilize "always-on feedback collection" methods. This includes gathering feedback via surveys, through applications (apps), and across various digital touchpoints where customers interact with a business.

What kind of analysis do Feedback Engines perform on customer feedback?

Feedback Engines perform sentiment analysis, which is powered by AI-driven natural language processing. This allows them to understand the emotional tone and context of customer comments, not just the explicit words.

How do Feedback Engines help businesses act on customer feedback?

Feedback Engines facilitate action by integrating feedback into broader analytics platforms, personalization strategies, and customer journey orchestration. They also support "closed-loop workflows" for issue resolution and root-cause analysis, ensuring that identified problems are addressed and their underlying causes understood.

What key metrics can businesses monitor using Feedback Engines?

Businesses can gain real-time visibility into crucial customer experience metrics such as Customer Satisfaction (CSAT) scores, Net Promoter Score (NPS), and overall customer sentiment.

What are "closed-loop workflows" in the context of Feedback Engines?

Closed-loop workflows refer to the systematic process of addressing customer issues and analyzing their root causes. This ensures that feedback isn't just collected but actively used to resolve problems for individual customers and to implement broader improvements to prevent similar issues from recurring.

How do Feedback Engines contribute to enhanced Customer Experience (CX)?

By providing a live signal of CX performance through continuous feedback collection, real-time analysis, and actionable insights, Feedback Engines enable businesses to proactively understand and respond to customer needs and pain points, ultimately leading to improved customer satisfaction and loyalty.