Medallia Reviews & Ratings

Medallia

5.0 out of 5 stars

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ease 0 out of 5 stars
features 0 out of 5 stars
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Total 5 out of 5 stars
ease 5 out of 5 stars
features 4 out of 5 stars
design 5 out of 5 stars
support 5 out of 5 stars

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What is Skimle?

Skimle transforms the process of turning unstructured qualitative data into structured and analyzable datasets through advanced artificial intelligence techniques. Unlike RAG chatbots that merely fetch unrelated snippets, Skimle diligently processes entire document collections from the beginning—assessing each section, extracting insights, and organizing them into a well-defined thematic hierarchy. Users can upload a variety of qualitative data formats, including interview transcripts, PDFs, audio or video recordings, and reports. The approach Skimle adopts, inspired by rigorous thematic analysis, systematically codes every text segment, identifies recurring themes, and creates a detailed "spreadsheet" that arranges documents as rows and themes as columns. Each insight is meticulously linked to verified quotes, guaranteeing that the information presented is accurate and free from any fabrication. With support for over 100 languages and the ability to manage more than 1,000 documents in a single project, Skimle adheres strictly to GDPR regulations relevant in the EU, ensuring thorough traceability between themes and their associated quotes. Additionally, users benefit from customizable category options, AI-enhanced chat for rationale, and the ability to export results into Word, Excel, or PowerPoint formats. What distinguishes Skimle is its unique capability to combine the rigorous methodologies of academic research with the swift processing power of artificial intelligence. Tasks that typically take weeks to complete using NVivo or similar traditional tools can be accomplished in just a few hours with Skimle, all while providing essential audit trails necessary for peer review and validation. This remarkable efficiency not only conserves valuable time but also significantly improves the overall qualitative research experience, making it more accessible and streamlined than has ever been possible before. Furthermore, Skimle’s innovative approach enhances the quality of research outputs, allowing researchers to focus on deriving meaningful conclusions from their data rather than getting bogged down in the analytical process.

What is Medallia?

Medallia provides users with the ability to engage in meaningful and organized methods through both digital and traditional surveys. Our user-friendly survey solutions guarantee the collection of pertinent and actionable data that can lead to significant customer impacts. Utilizing advanced AI technology, Medallia analyzes both structured and unstructured survey data through machine learning, allowing it to reveal sentiment, forecast behaviors, pinpoint trends, and suggest actionable steps to enhance customer experiences. By creating highly effective surveys, you can transform customer journeys for the better. Furthermore, our platform allows for swift management of innovation and change across all facets of your experience management program, including design, email communications, survey questions, and language translations. With Medallia surveys, you are empowered to drive meaningful improvements in customer engagement and satisfaction.

Media

Media

Integrations Supported

NVivo

Integrations Supported

5X
AWS Marketplace
Acoustic Tealeaf
Anecdote
Cendyn Loyalty
Cendyn Revintel
Chief
CorralData
Crossbeam
Decibel
Dimension Labs
Motileo
Nango
Operata
Pandium
QEval
Quaeris
StepFunction
Thematic

API Availability

API Availability

Pricing Information

$0
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS
Android
iPhone
iPad

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Skimle

Date Founded

2025

Company Location

Finland

Company Website

www.skimle.com

Company Facts

Organization Name

Medallia

Date Founded

2001

Company Location

United States

Company Website

www.medallia.com

Categories and Features

Qualitative Data Analysis

Collaboration
Data Visualization
Multi-Language
Qualitative Comparative Analysis
Sentiment Analysis
Text Analytics
User Research Analysis

Categories and Features

360 Degree Feedback

Dashboard
Feedback / Surveys
Progress Tracking
Rater Selection
Self Service Portal
Supports External Reviewers

Complaint Management

Case Management
Complaint Classification
Customer Complaint Tracking
Feedback Management
Issue Tracking
Routing
Self Service Portal
Social Media Monitoring
Survey Management

Customer Experience

Action Management
Analytics
Customer Segmentation
Dashboard
Feedback Management
Multi-Channel Collection
Sentiment Analysis
Survey Management
Text Analysis
Trend Analysis

Customer Journey Mapping Tools

Action Management
Behavioral Analytics
Collaboration
Customer Profiles
Data Import / Export
Predictive Analytics
Surveys & Feedback

Customer Satisfaction

360 Degree Feedback
Analytics
Call Reporting
Complaint Monitoring
Feedback Collection
Survey Management

Employee Engagement

Benchmarking
Cultural Alignment
Employee Awards
Employee Guides
Employee Recognition
Feedback Management
Goal Management
Health & Wellness Programs
Pulse Surveys

Journey Orchestration

Not specified

NPS

Not specified

Product Management

Collaboration
Feedback Collection
Idea Management
Prioritization

Qualitative Data Analysis

Annotations
Data Visualization
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics

Survey

Custom Survey URLs
Data Analysis Tools
Email Marketing
Mobile Survey
Offline Response Collection
Paper Survey
Question Branching
Question Library
Site Intercept Survey
Skip Logic
Supports Audio / Images / Video

Text Mining

Boolean Queries
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

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