AskHumans is a platform designed to capture and retain organizational feedback, opinions, and reasoning across workflows. It makes human judgment visible by collecting input from meetings, documents, and ongoing conversations. This continuous stream of qualitative data drives insights into understanding and alignment across teams.
Funding
$650K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations struggle to effectively capture, structure, and analyze qualitative feedback from verbal and text-based inputs at scale. This limitation hinders the ability to identify key themes, surface actionable insights, and foster organizational alignment, ultimately slowing down decision-making processes.
Solution
AskHumans provides a Cognitive Collaboration platform designed to capture, structure, and analyze open-ended voice and text feedback. The system leverages AI to process this qualitative data, identifying emergent themes, flagging outliers, and extracting nuanced insights that might be missed by traditional quantitative methods. This enables organizations to accelerate decision-making by providing a clearer understanding of team sentiment and operational realities. The platform supports various workflows, including asynchronous feedback collection, structured interviews, and continuous progress tracking, facilitating better team alignment and data-driven strategy.
Target Audience
The primary target audience includes organizations and teams seeking to improve internal communication, decision-making, and strategic alignment through the systematic collection and analysis of qualitative feedback.
Features
- AI-powered theme clustering and outlier detection for open-ended voice and text feedback.
- Workflow modules for structured feedback collection (Studies), asynchronous interviews (Meetings), and ongoing progress tracking (Loops).
- Natural language processing (NLP) capabilities to extract nuanced insights from qualitative data.
- Reporting tools for generating shareable insights and data-driven summaries.
- "Answers" feature allowing users to query collected feedback using natural language.
- Presentation tools for transforming insights into collaborative documents.
- Secure data handling and processing for organizational feedback.