Strategy research
From an agency perspective, Articos brings speed, clarity, and real user signal into the strategy process.
It helps cut through assumptions and gives teams something concrete to build on — stronger work, better client decisions.
Rehearse your audience.Decide with conviction.
User research that used to take weeks and cost thousands — at a fraction of the cost, in under 30 minutes.
86%
Human accuracy — validated
across 46 studies
30 minutes
From questions to
enterprise-grade report
$8–20
Per study, vs $5,000–$30,000 at a
traditional firm
Trusted By
The problem
Traditional user research software and services cost $5,000–$15,000 per study and takes 4–8 weeks to deliver. So teams stretch old data, recycle assumptions, or prompt ChatGPT and call it insight.
Articos exists for every decision that deserved research but never got it.
$50,000+
A single study from Baymard or NN/g starts at five figures. Most teams can’t afford it for more than a fraction of their decisions.
4–8 weeks
Recruit, schedule, interview, transcribe, synthesize. By the time findings arrive, the decision already shipped.
You fly blind.Unfunded research turns into gut feeling, Slack debates, and “let’s just ship and see what happens.”
Grounded in science
The firms that define best-in-class user research charge $5,000–$30,000 per study and take 4–8 weeks to deliver. We validated Articos against their published findings — including Baymard Institute and Nielsen Norman Group. The result: Articos captures 86% of what expert research teams find — in under 30 minutes instead of months.
Ground truth fromBaymard InstituteNielsen Norman GroupCHINeurIPSPNASACL
Research Fidelity
86%
Articos captures 86% of the themes and findings that expert research teams identify — validated against published research from Baymard Institute and Nielsen Norman Group.
Research Fidelity Index, 46 studies across 9 domains
Baymard 2024 · n=2,400
Cross-domain
46 studies
Validated across e-commerce, SaaS, healthcare, fintech, consumer mobile, education, enterprise, cross-cultural, and mixed research domains.
Grounded Simulation peer-reviewed study, Articos Research (2026)
46 studies · 9 domains
Accuracy vs. raw AI
7.5×
More accurate than prompting the same AI model directly. Same model, different architecture.
Five-condition comparison, p < 0.002 (Wilcoxon signed-rank)
p < 0.002 · Wilcoxon
How it works
From research question to structured, actionable findings — without recruitment, scheduling, or waiting weeks.
Step 01
Set your research goal
Define what you need to understand, validate, or build strategy around — messaging clarity, audience reaction, concept feedback, competitive positioning, or persona development. Setup takes under 3 minutes.
Step 02
Your audience shows up
Articos generates diverse personas built on Big Five personality science, cognitive bias mapping, and enforced stance diversity — then interviews them blind to your hypotheses.
This isn’t ChatGPT role-playing a user. It’s structured research methodology.
Step 03
Get an enterprise grade report, you can use immediately
Motivations, objections, confusion points, language patterns, and prioritized recommendations — structured into a report you can share with your team, present to clients, or use to make your next call. Exportable. White-label ready.
What comes out
The Panel
Personas that disagree by design
30 personality facets, cognitive biases, and enforced stance diversity per persona — so they don't all love your idea. 5 of 12 are calibrated as skeptics and late adopters. If your messaging only works on enthusiasts, you'll know before you ship.
The Output
Turn insights into deliverables, not just data
Motivations, objections, clarity issues, prioritized recommendations — structured so your strategist hands it to creative and both teams know what to do next. Export to PDF. White-label ready.
Don't take our word for it.
The line of work
A language model generates plausible text. Audience research generates evidence. They look similar from the outside — both produce paragraphs about your users. They’re different categories of work. Articos is what happens when you treat the model as one stage of a research pipeline, not the whole answer.
Purpose
Structured user research with behavioral science grounding
LLMs:General answers & content generation
Audience simulation
30-facet personas + cognitive biases + enforced diversity
LLMs:Generic role-play without depth
Sycophancy prevention
Hypothesis-blind architecture — personas can’t see what you’re hoping to find
LLMs:Confirms expectations by default
Insights
Motivations, objections, clarity issues, prioritized recommendations
LLMs:High-level guesses and generic themes
Signal quality
17 focused themes per study
LLMs:142 themes with 22:1 noise ratio
Workflow fit
Projects, studies, team collaboration, white-label export
LLMs:None
A/B testing
Upload and get structured audience reactions
LLMs:Not available
Decision support
Evidence chains, confidence scores, adversarial review
LLMs:Unverified output
Who it's for
Three teams, three constraints — a launch deadline, a missing budget, a velocity gap. All three need research-quality answers in days, not weeks.
What teams say
Founders, agencies, and consultants — moments when assumption met evidence.
Persona research
The user interviews are gold. The personas I spoke to felt real, and their opinions matched real users from companies I’d tested before. Direct answers from your customers, whenever you need them, without chasing anyone down.
Concept testing
I’ve tested a lot of tools, but this one actually delivers: stop guessing, start knowing. The simulated survey questions had way more depth and nuance than I expected — and the report output was amazing.
Quick research
Articos is basically a research assistant with an MBA, except they hand you a full report in half an hour. No more guessing or waiting weeks — fast insights that are actually right on point.
Articos is a user research platform that uses AI to turn user ideas, landing page designs, and messaging into structured audience conversations. By utilizing "synthetic personas"—AI-generated participants that mirror real-world demographics and behaviors—Articos provides valuable insights with high speed and low overhead, allowing teams to validate concepts without the long wait times associated with traditional recruitment.
A user research platform is a software that helps product teams, UX designers, and marketers gather feedback from their target audience. These platforms typically facilitate activities such as interviews, surveys, and usability testing to help businesses understand user needs, pain points, and behaviors before investing in building or launching a product.
In a modern user research platform like Articos, AI research eliminates the need for participant recruitment. You describe your research goals and target audience, and the AI generates synthetic personas that match those profiles. The platform then simulates structured interviews or landing page tests with these personas. Within about 30 minutes, the AI synthesizes these conversations into actionable insights, identifying common themes, objections, and language patterns.
Articos is best used alongside traditional user interviews rather than as a full replacement. As a user research platform, it excels at rapid concept validation and early-stage directional feedback when you need answers in minutes rather than weeks. While synthetic research is excellent for testing hypotheses and refining messaging at scale, live human interviews remain the gold standard for uncovering deep emotional nuances and unexpected edge cases in later stages of development.
Unlike traditional research that can take 2–3 weeks to recruit and schedule participants, Articos typically delivers a full synthesis of insights in less than 30 minutes. This makes it one of the fastest ways to run research using an AI-powered user research platform.