High-Level Overview
Askable is an AI-powered on-demand research and insight delivery platform that combines human expertise with AI to provide product teams with rapid, reliable user insights.[1][3] It serves enterprises and brands by connecting them to vetted participants, expert researchers, and tools for usability testing, surveys, interviews, and more, solving the bottlenecks of traditional research methods like backlogs and fragmented tools.[1][2][3] Over 600 global brands use it to de-risk product decisions and scale research, with recent growth including a A$22 million Series A funding round in 2024 led by Airtree Ventures—its first external capital after being profitable and self-funded since launch—and expansion to offices in Brisbane, London, and Chicago.[1][2]
The platform replaces entire research stacks with features like AI Moderators for multilingual interviews, Askable Sessions for video conferencing, Insight Streams, and end-to-end project delivery by 750+ certified researchers, enabling teams to generate more output from brief to breakthrough insights backed by traceable evidence.[1][2][3]
Origin Story
Askable was founded in 2017 by John Goleby (CEO & Co-Founder), Scott Goleby, and Andreas Zhou within their agency's incubator in Brisbane, Australia.[1][2] Starting as a participant recruitment tool for usability testing and surveys, it addressed the pain of inefficient user research recruitment in a fragmented market.[2][4] Early traction came from its profitability and self-funding model, evolving from a Brisbane startup into a global player with no external investment until the 2024 A$22 million Series A.[1] Pivotal moments include launching AI integrations, a full rebrand to position as an industry leader, US office opening in Chicago, and events like Leading Design Conference demos that showcased its AI capabilities.[1][2]
Core Differentiators
- AI-Human Hybrid Model: AI accelerates scale (e.g., simultaneous multilingual interviews, pattern detection) while expert researchers ensure nuance and quality; every insight includes traceable proof like quotes and clips, unlike generic AI or DIY tools.[1][3]
- On-Demand Global Reach: Access to millions of verified participants in real-time across countries, with automated scheduling and 99.9% uptime, replacing fragmented stacks for end-to-end research.[2][3]
- Full-Service Options: Beyond self-serve, 750+ certified researchers handle projects via Insight Streams and Project Delivery, serving lean teams at high speed without bottlenecks.[1][2][3]
- Proven Scale and Trust: Used by 600+ brands, profitable from day one, with SSO security and focus on evidence-based decisions over raw data dumps.[1][3]
Role in the Broader Tech Landscape
Askable rides the AI-augmented research trend, where product teams demand instant, high-fidelity user insights amid accelerating development cycles and global markets.[1][3] Timing aligns with post-pandemic remote research booms and AI's rise, countering limitations of traditional agencies or basic tools like surveys that lack depth or speed.[1][2] Market forces favoring it include exploding demand for customer-centric products (e.g., in UX, CX), talent shortages in research, and AI's ability to handle scale—positioning Askable to influence the ecosystem by empowering PMs and designers at firms like those in its 600+ client base to build user-craved experiences faster.[1][3] Its funding and expansions signal maturation in the $10B+ user research space, blending human vetting with AI to set standards for traceable, bias-free insights.[1][2]
Quick Take & Future Outlook
Askable's momentum—fresh Series A, AI advancements, and global footprint—positions it to dominate on-demand research as AI evolves for specialized domains like UX.[1][2][3] Next steps likely include deeper AI investments (e.g., advanced agents, more languages) and talent scaling to capture US/EU growth, fueled by trends like agentic AI and real-time personalization.[1][3] Its influence could expand by standardizing "insights with proof" across tech, turning research from cost center to superpower for product leaders—echoing its founding mission to eliminate bottlenecks and fuel intentional builds.[1]