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What is inQuba CX?

Customers regularly provide their input, and with inQuba's intuitive graphical interface, the creation and management of omni-channel surveys allows them to share valuable insights at any stage of their journey through preferred communication channels. Each survey is designed to be context-specific, utilizing a holistic perspective of each customer to maintain relevance. This method guarantees that essential insights are delivered to the right people swiftly. Additionally, inQuba aids in organizing feedback across different channels for various target audiences, enabling the prioritization of urgent issues based on set criteria, like a low Net Promoter Score or negative sentiments uncovered during thorough feedback analysis. Teams can work together to resolve issues within established service level agreements while utilizing an integrated workflow, fostering effective solutions. The experiences of your customers provide critical insights, so by mapping their journeys with specific steps and service channels, it becomes easier to link both structured and unstructured feedback to every stage of their experience, thereby deepening the understanding of customer interactions. This comprehensive approach ultimately empowers organizations to adjust and enhance their services in response to real-time insights, fostering a culture of continuous improvement. Moreover, by recognizing patterns in customer feedback, businesses can proactively address potential issues before they escalate.

What is Thematic?

Consolidate, analyze, and rank customer feedback on an inclusive and interactive platform. Leverage AI-driven thematic and sentiment analysis to extract meaningful insights. Optimize your customer feedback strategy through sophisticated evaluations of themes and sentiments that reveal essential insights vital for improving your business outcomes. Effortlessly merge feedback from diverse channels, including online reviews, chat interactions, and surveys, with convenient one-click features. Thematic enhances feedback utilization by automatically redacting sensitive information, allowing teams to handle data securely and in accordance with regulations. It systematically organizes feedback into recognizable themes and sentiments as they emerge, providing quantitative analysis of recurring themes for a richer understanding. The platform offers robust search capabilities to investigate similar themes and acquire further insights. You can easily manage themes with options to edit, disregard, or combine them. Utilize powerful analytical tools to uncover significant issues and apply filtering options to categorize and refine your results based on organized data. Set up alerts for developing concerns and efficiently trace back to pinpoint root causes, enabling swift proactive management and resolution of customer issues. This holistic strategy not only deepens your connection with customers but also guides informed strategic planning effectively, ensuring that their voices are heard and acted upon in a timely manner.

Media

Media

Integrations Supported

Integrations Supported

Medallia
SurveyMonkey
Zendesk

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Online Training
On-Site Training

Company Facts

Organization Name

inQuba

Date Founded

2010

Company Location

South Africa

Company Website

www.inquba.com/products-cx/

Company Facts

Organization Name

Thematic

Date Founded

2015

Company Location

New Zealand

Company Website

www.getthematic.com

Categories and Features

Customer Experience

Not specified

Categories and Features

Customer Experience

Action Management
Analytics
Feedback Management
Multi-Channel Collection
Sentiment Analysis
Survey Management
Text Analysis

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