stratify

What do they actually do

Stratify is a user research tool that helps teams go from a research question to actionable findings faster by automating participant recruitment, interview workflows, and analysis. The product focuses on shortening the time from idea to decision by reducing the manual work involved in sourcing participants, running studies, and turning recordings into usable outputs homepage.

Today, Stratify markets a verified participant panel with screening, scheduling, and automated replacements to reduce no-shows; it supports interview studies and then turns recordings into transcripts, summaries, searchable insights, highlight clips, and slide-ready reports. It also emphasizes pre-launch testing and landing‑page feedback for marketing teams, and semantic search across research to make insights easier to reuse marketing use cases user recruitment platform overview.

Who are their target customer(s)

• Product/UX teams at startups and PM‑led design teams: They need quick, reliable qualitative input but recruiting participants, running interviews, and synthesizing findings is slow and manual, delaying product decisions by weeks. Stratify pitches automation across recruit→interview→analysis to speed this cycle homepage YC profile.
• Marketing and growth teams running campaigns: They must validate messaging, creative, and landing pages before spending ad budget, but current tests are costly or only give shallow quantitative signals. Stratify offers pre‑launch testing to capture faster qualitative feedback on pages and concepts marketing use cases.
• Small product teams with limited research ops: They struggle to run enough interviews in parallel and to replace no‑shows, leading to tiny samples and biased insights. Stratify’s recruitment engine highlights a large verified panel, screening, scheduling, and automated replacements to reduce operational overhead user recruitment.
• Conversion/growth analysts investigating funnel drop‑offs: They see where users churn but not why, so experiments are guess‑driven. Stratify positions searchable insights, clips, and generated reports from interviews to ground experiments in concrete user reasons homepage.
• Customer research/insights teams at mid‑to‑large companies: They spend time on transcription, tagging, and slide creation instead of interpretation, slowing leadership decisions. Stratify advertises automated analysis, semantic search, and generated reports/videos to cut prep work platform overview.

How would they acquire their first 10, 50, and 100 customers

• First 10: Hands‑on, no‑risk pilots with YC startups and early PM‑led teams via founder intros and targeted outreach; provide end‑to‑end help (goals, recruitment, moderation, report) in exchange for case studies and testimonials, anchored in the product’s automate‑recruit→interview→analysis promise homepage YC profile.
• First 50: Use those case studies to sell short paid trials to marketing/growth teams (landing‑page and messaging validation), run webinars/cohort “landing‑page labs,” and do targeted outbound; emphasize automated recruitment/replacements to cut no‑show risk marketing use cases user recruitment.
• First 100: Launch clear self‑serve plans with onboarding templates and content (playbooks, SEO) while adding channel partnerships with UX agencies and growth consultancies so Stratify is embedded in pre‑launch and CRO engagements; lean on the end‑to‑end workflow as the main conversion hook platform/homepage UX teams.

What is the rough total addressable market

Top-down context:

The immediate, clean fit is UX/user‑research software, estimated at about USD $427M in 2024 with double‑digit growth Fortune Business Insights. Adjacent spend in market‑research services alone is ~USD $90B, with broader customer‑insights platforms in the low billions, indicating larger long‑run optionality beyond UX teams TBRC FBI CDP.

Bottom-up calculation:

Illustratively, if 40k–60k product/UX teams globally purchase UX research software at an average $6k–$10k per year, that implies a ~$240M–$600M software TAM, broadly consistent with published UX research software estimates (~$427M) Fortune Business Insights.

Assumptions:

• Focus on software spend for UX/user‑research tools; excludes services and agency budgets.
• Rough order-of-magnitude count of global teams that actively run qualitative research (tens of thousands).
• Average annual spend per team in the $6k–$10k range for recruiting, interview, and analysis software.

Who are some of their notable competitors

• UserTesting: Large on‑demand panel plus moderated/unmoderated sessions; offers scheduled live interviews, transcripts, AI summaries, and highlight reels to speed insight creation Live Conversation platform overview.
• Respondent: Participant marketplace to recruit screened B2B/B2C participants with scheduling; strong for fast sourcing but less focused on repositories or deep automated analysis site recruitment.
• PlaybookUX: End‑to‑end research platform with tester panel, moderated/unmoderated sessions, auto transcripts, highlight reels, and AI summaries—positioned similarly on recruitment + session analysis site panel.
• Dovetail: Repository and analysis tool focused on storing, tagging, and synthesizing research with strong cross‑project search and reporting; less centered on large‑scale recruitment overview review.
• Maze: Product/UX testing platform oriented to prototype and task studies with AI summaries and automated reporting; stronger on quantitative usability testing than on sourcing large, screened panels comparison.