Your user research budget got cut. Your Figma prototypes still need testing every sprint. What if the panel never sleeps, never costs $40/interview, and already knows your ICP better than your PM does?
~$3k/mo solo operator monthly take | $10-50k/yr team research budget/yr |
Overview
So the idea is: instead of paying a research team to recruit real users and run usability tests every quarter, you build a tool that sucks in a company's existing data, analytics, CRM notes, support tickets, win/loss reports—and uses that to build AI 'synthetic users' that act like their actual customer segments. Then product teams can throw a Figma prototype or a feature brief at these synthetic panels and get instant, continuous feedback and a prioritized list of pain points, every sprint, instead of waiting weeks for a real research cycle. It plugs into the tools PMs already use (Figma, Jira, Productboard, Slack) so it fits into existing workflows, and it lets companies use their own LLM keys so they're not shipping sensitive customer data to some third party's training set.
OUR TAKE — 5/10
Technically buildable and demand is real, but you're entering a crowded, funded niche and need a genuine data or validation edge to beat incumbents.
The Trends
AI agents moving to production
Agentic/AI agents are moving from pilots to production across enterprises, accelerating automation of knowledge-work and product workflows (e.g., assistants that take multi-step actions on behalf of users).1,2
Product-led growth still dominant
Product-led growth (PLG) remains a dominant go-to-market model for SaaS: companies continue prioritizing product-driven acquisition, in-app experiences, and rapid product iteration to scale efficiently.3
First-party data privacy shift
Privacy-first and first-party data strategies are the default response to cookie deprecation and regulation, pushing firms to rely on clean rooms, direct data collection, and contextual or privacy-preserving approaches.4,5
Research budgets under pressure
Market and UX research budgets have been under pressure, driving teams to cheaper, continuous, and AI-assisted research methods and greater reliance on freelance/agency talent and synthetic techniques.6,7
Enterprise demand for BYOK LLMs
Enterprise demand for customer-managed keys / bring-your-own-key (BYOK) and private LLM deployments is growing, as organizations prioritize data control, compliance, and cost/privacy trade-offs when adopting generative AI.8,9
Your Answer
- Turns your own analytics, CRM notes, support tickets, and win/loss data into a always-on synthetic panel of ICP-matched users, so you skip weeks of recruiting and scheduling to get feedback
- Runs continuous usability tests on Figma prototypes and draft feature briefs, surfacing a prioritized, confidence-scored pain-point backlog every sprint instead of once a quarter
- Plugs directly into Figma, Productboard, Jira, and Slack so insights land where product teams already work, with no new workflow to adopt
- Supports bring-your-own LLM keys, giving teams control over cost and keeping sensitive customer data out of third-party training pipelines
- Replaces expensive, slow user research with low-cost, high-frequency synthetic testing built for teams shipping at sprint pace on shrinking budgets
Your Roadmap
- MVP goal: no-code version for PMs to get synthetic panels from CSVs and run prototype tests without engineering help.
- Use no-code builders (Bubble/Adalo) or Airtable + Softr for the UI, plus Make/Integromat or N8N to orchestrate data ingestion and webhooks.
- Leverage an LLM provider with API key input field so customers use their own keys; provide pre-built prompt packs for ICP generation and Figma task scripts.
- Offer template library: "Onboarding flows for SMB SaaS PMs", "Enterprise renewal pain" to speed results for non-technical users.
- Monetize with a low‑touch subscription + pay-per-report; include a free trial that runs 1 panel report against a Figma file.
What you'll need
- No-code tooling familiarity (Bubble, Airtable, Make) — learn via platform quickstarts (most have 2–4 hour tutorials).
- Good prompt-writing skills and UX copywriting to build templates, pick up from online resources or repurpose community prompts.
- Basic understanding of Figma prototyping (how tasks map to frames).