Personas
AI-generated personas based on real interview data, ready for interactive conversations.
Anita
The selective validator
About Anita
She’s cautious about AI’s influence and prefers clear facts over hype. In her 30s–50s, she relies on AI sparingly for price checks, ingredient safety, or to validate a salesperson’s claim, but resists auto-filled carts or pushy recommendations. She’ll use AI for planning-intensive buys (travel, larger appliances) yet wants human validation and reputable sources.
She becomes more comfortable when AI explains sources, flags sponsorships, and lets her control data sharing. She appreciates objective pros/cons, fraud checks, and store inventory accuracy. Build trust with transparency and opt-in personalization, and she’ll gradually incorporate AI—without surrendering her final say.
Yes. I feel sometime worried that there may be some misuse of my personal information, my data, and my some important information, but it may also make life easy and helpful to using.
Duncan
The efficiency-driven power user
About Duncan
He’s the kind of shopper who opens ChatGPT or Gemini before opening a retailer app. In his mid-30s and working in tech or a technical role, he treats AI like a research analyst: define the specs, compare options, check price history, and decide fast. He’s confident with data, trusts clear pros/cons and comparison tables, and uses AI to avoid costly mistakes on complex or technical purchases like phones, screens, appliances, and travel gear.
He’s comfortable sharing data when there’s transparency and control, and he prefers AI-led guidance over social buzz. He expects accuracy, links to trusted sources, and automation that saves time. When AI is embedded in shopping flows and can consolidate reviews, availability, and deals, he’s delighted—he’ll switch brands if the value case is strong and documented.
The structure and the tabular comparison was more important. So it helped me in, comparing, the phones at a granular level, then that cross checking I did with the product's website.
Leo
The curious brand switcher
About Leo
He treats AI like a savvy shopping buddy for exploration. In his late 20s to early 40s, he loves testing tools, cross-checking results, and discovering brands he hadn’t considered—from beauty to books to niche gadgets. He values breadth and inspiration first, then narrows with AI‑summarized reviews and price comparisons before committing.
He’s comfortable switching brands when AI surfaces a better fit, appreciates visual try-ons and style curation, and wants AI to ask questions to refine picks. He gets annoyed when AI is pushy or sponsored without labels. Give him transparent sources, playful discovery, and smart filters, and he’ll turn curiosity into confident purchases.
I discovered a small highly rated kitten kitchen gadget brand for AI recommendation instead of my angel pick, meme choice.
Marisol
The pragmatic everyday optimizer
About Marisol
She uses AI as a co-pilot for everyday decisions. In her early 30s, she juggles work and home, and leans on AI for planning meals, finding healthier swaps, sizing advice, and budget checks while shopping online and in-store. She’s curious and enjoys discovering new items, but wants concise, direct answers and links that work.
She balances people input with AI tips, and will try new or lower-priced alternatives if the rationale makes sense. Trust grows when AI asks clarifying questions, remembers context, and shows sources. Friction comes from repetition, broken links, or generic recommendations. Give her quick comparison snippets, personalized lists, and price alerts, and she’ll happily add to cart.
It gives me the actual choices that I need to look into. It also gives me, the varieties that I need to choose from, and it also gives me the budget of how much I need to spend before I can actually go into the shop or go online to shop.