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About

Make better product decisions 5x faster. Find the signal in the noise - BuildBetter's proprietary Signal Engine powers everything from search to extractions, organizing, and summarizing your qualitative data. Find 78% more insights from your customers with existing data compared to teams using manual product research tools. A quantum leap in qualitative analysis. Save on average 200 hours a year on organizing insights from your customers into topics, themes, problems, and more. Summarizations that are so good it almost feels like cheating. Whether it's a summary of a call, a topic, a feature request, and anything else BuildBetter can process, we can turn it into sharable insights. Internal, external, and everything in between. BuildBetter's proprietary Call Intelligence powered by Signal Engine allows you to track and analyze every call that comes into your product team.

About

QCAmap is an open access web application for systematic text analysis in scientific projects based on the techniques of qualitative content analysis. QCAmap can be used within research projects in e.g. psychology, sociology, education, economics, linguistic sciences, to analyze small and large amounts of any text material and images coming from interviews, group discussions, observation protocols, documents, open-ended questionnaire items and others. Qualitative Content Analysis is a strictly rule-guided procedure containing qualitative steps (assignment of categories to text passages and images) and quantitative steps (analysis of category frequencies). We have developed a web-based interactive software package, which leads you step by step through the different techniques of Qualitative Content Analysis. The software is free available. All your old projects are migrated to the new version and can be used as normal.

Platforms Supported

Windows Not Supported
Mac Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Product teams that want to use AI for powerful qualitative data analysis for better product research

Audience

Researchers requiring an open access web application solution for systematic text analysis in scientific projects

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 5.0 / 5
ease 4.0 / 5
features 4.0 / 5
design 5.0 / 5

Pros & Cons from Real Users

Pros

  • Gives a clear, reproducible setup but allows flexibility for your deductive, inductive and summarizing needs. Multiple overlapping markings can be made, the exported information can be exported as csv containing 1. a series of text strings + category + document; 2. the number of or binary is or is not mentioned the set categories and 3. the the category rules themselves. this data can be refined outside the tool from there. Multiple documents can be added to a project in which multiple research questions with different methods can be set up. Reliability within one tester and across testers can be tested to further added to allow for intersubjective claims. The view for marking in the text is easy to use and highlights passages not in the text but as bars on the side, so the text does not get obfuscated.

Cons

  • The categories of any given question must strictly be deductive XOR inductive. keep this in mind before putting together the questions and categories. Sessions can be a bit short, which then forces you to re-login and clicking back to your project.

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

BuildBetter
Founded: 2020
United States
www.buildbetter.ai

Company Information

QCAmap
Germany
www.qcamap.org/ui/home

Alternatives

HyperOrbit

HyperOrbit

HyperOrbit Labs

Alternatives

QDA Miner

QDA Miner

Provalis Research
MM Studio

MM Studio

ReliCheck
WordStat

WordStat

Provalis Research
COSTAQDA

COSTAQDA

Global Centre for Academic Research
EnjoyHQ

EnjoyHQ

UserTesting

Categories

AI Data Analytics Supported
AI Productivity Supported
AI Research Tools Supported
AI Tools Supported
Customer Feedback Supported
Product Management Supported

Categories

Qualitative Data Analysis Features

Annotations Not Supported
Collaboration Not Supported
Data Visualization Not Supported
Media Analytics Not Supported
Mixed Methods Research Not Supported
Multi-Language Not Supported
Qualitative Comparative Analysis Not Supported
Quantitative Content Analysis Supported
Sentiment Analysis Not Supported
Statistical Analysis Not Supported
Text Analytics Supported
User Research Analysis Not Supported

Integrations

Notion Supported
Slack Supported

Integrations

Notion Not Supported
Slack Not Supported
Claim BuildBetter and update features and information
Claim BuildBetter and update features and information
Claim QCAmap and update features and information
Claim QCAmap and update features and information