Product Design Intelligence

Professional design research powered by synthetic agent panels

SP
Example OutputProduct: SynthPanel ยท 50 agents ยท B2B professionals ยท Kano + RICE + JTBD

SynthPanel โ€” Product Design Intelligence

50 synthetic agents ยท Feature prioritisation ยท UX research

8
Features Analysed

The Kano Model classifies features by how they affect user satisfaction. Must-Haves cause dissatisfaction if absent but don't delight when present. Delighters create unexpected joy. Performance features scale linearly with satisfaction.

Real-time sentiment pulse during focus group

+92% satisfiedโˆ’8% if absent41 votes
Delighter

Downloadable PDF/CSV reports

+78% satisfiedโˆ’68% if absent48 votes
Must-Have

Product URL auto-fill (Shopify scraper)

+84% satisfiedโˆ’31% if absent37 votes
Performance

Guided onboarding flow

+71% satisfiedโˆ’72% if absent44 votes
Must-Have

White-label report exports

+88% satisfiedโˆ’12% if absent29 votes
Delighter

API access for automation

+76% satisfiedโˆ’44% if absent33 votes
Performance

Methodology transparency page

+69% satisfiedโˆ’81% if absent50 votes
Must-Have

Dark/light mode toggle

+34% satisfiedโˆ’11% if absent18 votes
Indifferent

Framework Insight

Two Must-Have features are currently absent or weak: guided onboarding and methodology transparency. These are causing active dissatisfaction โ€” fix them before adding new Delighters. The real-time sentiment pulse is a high-value Delighter that differentiates SynthPanel from all competitors.

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