Book a Demo

Community

Back to CoLoop

CoLoop.ai

Documentation

Integrations

AI Skills Hub

Go to CoLoop

Comparison with ChatGPT

CoLoop helps Insight & Strategy teams complete content analysis 10x faster, cheaper and more accurately

Introduction

Live Interviews

Online Qualitative

Follow these guides if you are working with stimulus for ad, concept or product testing. These types of projects can be challenging for AI analysis as more basic tools will struggle to disambiguate concepts. This guide will explain best practices and techniques to do this with CoLoop.

Concept & Message Testing

Multimarket studies

Learn how to create and setup projects in CoLoop for qualitative research.  Follow steps to upload research material, generate project descriptions, and optimize transcription for accurate analysis.  Start your research journey efficiently with CoLoop.

Creating Projects

Tagging Concepts

Uploading Files

Learn how to transcribe audio and video files with high accuracy using CoLoop.  Upload files, optimize settings for transcription, label speakers, and utilize additional features  like transcript correction and translation to enhance qualitative research efficiency.

Creating Transcripts

Translating Transcripts

Learn how to create and manage segments in CoLoop for qualitative research.  Build segments for different demographics and markets, and utilize them in the analysis  grid and AI chat to filter and analyze data effectively.

Adding Segments

Basic Grids

Custom Grids

Learn how to effectively use CoLoop's AI chat for qualitative research. This guide covers creating AI chats, applying filters to narrow down research material, and asking targeted questions. Enhance your research with accurate, segmented analysis and discover how to see supporting  evidence easily.

Basics

Filtering AI Chats

Evidence Panels

Learn how to generate audio and video clips directly from transcripts using CoLoop. Discover the simple steps to create and download clips,  perfect for enriching presentations and narratives with authentic participant voices.

Creating Clips

Learn how CoLoop automatically generates topline summaries for uploaded interviews.  Export summaries effortlessly from the transcript view to streamline qualitative research analysis.

Topline Summaries

Video & Audio

Discover how to effectively use Excel sheets in CoLoop for analyzing MROCs, online qualitative projects,  open-ended responses, and interview notes. Learn the best practices for formatting your xlsx files, importing data, and  utilizing segments and tags for streamlined analysis.

Excel Sheets

DOCX & TXT Transcripts

Excel Import Format

Learn how to create an organization in CoLoop to establish a shared team space  for collaborative qualitative projects. Follow step-by-step instructions to set up your organization,  invite team members, manage roles, and optimize workspace settings for seamless project collaboration.

Creating an Organisation

Discover how to share projects in CoLoop for real-time collaboration on  analysis grids and AI chats. Learn how to share and manage access to analysis grids, AI chats,  and the benefits of pinning chats for easy access and collaboration across your team.

Sharing Projects

Learn how to share analysis grids and AI chats in CoLoop to facilitate collaboration and  manage access across your organization. Understand the roles of Admins and Members, how to request project access,  and seamlessly transfer projects between personal and team workspaces.

Sharing Analysis Grids & AI Chats

Discover how CoLoop maintains robust security measures and ethical standards to protect  user data. Learn about third-party vendor management, data localization compliance, and approaches to  mitigate AI biases in research tools.

Security & Ethics

Security & Ethics - how does CoLoop remain secure

Discover how CoLoop ensures the security and privacy of your  uploaded data for market research. Learn about data storage, processing, compliance  with SOCII and GDPR standards, and user control over data retention and deletion.

Your Data

What happens to my data when I upload it to CoLoop?

Learn how to edit individual speaker segments in your transcript using CoLoop.  Correct speaker labels efficiently after transcription to ensure accurate attributions and  improve the quality of your transcribed interviews and discussions.

How do I change an individual speaker segment in a transcript?

Learn how to manage mixed up focus group participant labels in CoLoop. Discover methods  for correcting individual speaker instances and merging speaker labels to ensure accurate transcription and analysis.

What do I do if my focus group participants are mixed up?

Learn what to do if CoLoop's transcription service doesn't display the correct number of speakers  in your uploaded audio file. Discover how to set expected speaker numbers, merge speaker segments, and correct  speaker labels effectively. Get tips for optimizing transcription accuracy in interviews, focus groups, and other  discussions with varying numbers of participants.

What if there aren't the right number of speakers?

Learn why quotes in CoLoop chats may not appear relevant and how to find and utilize the  correct sources from chat history and transcripts effectively. Discover troubleshooting tips for improving chat relevance.

The quotes in the chat don't seem relevant?

Learn how to troubleshoot file loading issues on CoLoop. Understand common formatting problems,  supported file formats, and how to reach out for assistance if your files are taking too long to process.

What if my files get stuck loading?

Contact Support

Zoom

Google Meet

Teams

One Drive

Share Point

Learn how to seamlessly integrate entire projects from Field Notes into CoLoop for analysis.  Follow these steps to export data from Field Notes in a CoLoop optimized JSON format, upload it to CoLoop,  and utilize the briefing document to provide context for enhanced AI analysis.

Field Notes

Learn how to seamlessly integrate entire projects from Qualzy into CoLoop for analysis.  Export data from Qualzy in a CoLoop optimized Excel format, upload it to CoLoop, and utilize the briefing  document to enhance AI analysis with contextual information and project objectives.

Qualzy

Discover how to leverage CoLoop for analyzing Recollective projects.  Export text, video, and photo data from Recollective, import it into CoLoop, and  optimize your analysis workflow. Ensure compliance with privacy standards by excluding  unnecessary participant photos and emails from exports

Recollective

Learn how to upload interview transcripts and videos from Discuss IO to CoLoop for analysis.  Follow these steps to export your data from Discuss IO and seamlessly integrate it into CoLoop for transcription, content analysis, and more.

Discuss IO

Learn how to easily export your data from Incling and upload it to CoLoop.  Our step-by-step guide covers exporting data, supported activities, and uploading files,  ensuring a seamless transition for your projects.

Feature	CoLoop	ChatGPT
Integrations	Recollective; Incling; Excel Formats; Transcript Formats; Audio and Video; Zoom; MS Teams; G Meet*; Translation built in Even more coming soon…	Some capabilities here inherently and via plugins with 3rd parties; no file management capabilities; all files are treated as binaries or text so has no notion of: speakers; tasks; activities; questions; segments or filters.
Transcription accuracy	43% fewer WER than Whisper on real world data	Lower accuracy; uses Whisper; also can’t handle speaker labelling
Analysis grids	Filter; compare; contrast and analyse across documents. View everything in a familiar UI; Suggested questions and minimal learning curve. Optimised to extract themes; also provides theme counts	Limited to chat UI; Doesn’t reliably cite sources
Research Specialisation	Uses discussion guides; background information and speaker roles to 10x performance on qual analysis task	Generalised tool
Clip Reels	Can easily select and generate clips in 1 click (up to 6Gb per file)	Can be done via code interpreter for small video files (less than 512MB per file)
Segmentation	Can handle participant segments and answer questions about them	Has no notion of speaker roles or segments; highly unreliable at distinguishing between them
Support	Highly available support team	No support
Context limits / accuracy	Backed by a qual specific data model and search engine; reduces, enriches and constructs evidence before responding Proven accuracy up to 100 hours worth of interviews.	Fills entire context with as much info as possible regardless of its relevance (max 100,000 words ~ 10 hours audio). Good at answering questions about single documents but prone to hallucinate when working across many.
Vendor lock in	Will always use best available models whoever they are from: Gemini / Claude / Mistral etc. Also includes hybrid / agentic approaches e.g. Gemini + GPT4 or Mistral + Claude.	Will only ever use OpenAI models
Data privacy	Will always guarantee this; Key to our operating model; fully insured	Frequently change their terms and are subject to competing interest for their customer facing products
Access Management & Collaboration	Can access manage projects and share resources; files and more across teams selectively; will continue to develop specifically for agency work.	Limited collaboration capabilities

Advanced Analysis