Connect with consumers around the world, hear their voices and discover insight.
Extend filter life from six months to two years and lead with "two years, zero upkeep"; enter through pet and plant scenarios to reach high-potential buyers.
Quick Decision uses AI to find authentic consumer and social voices, run professional analysis in real time, and deliver business-ready recommendations and content — smart insight, faster decisions.
Extend filter life from six months to two years and lead with "two years, zero upkeep"; enter through pet and plant scenarios.
Quick Decision begins with research among real consumers recruited online in real time to answer the business question at hand. We then combine full-chain big-data collection and analysis to expand the market view, giving every decision both depth and breadth.
Reach the right people through mobile internet channels in real time, without relying on pre-built panels. Run surveys, AI depth interviews and 100-person live sessions quickly around your business question, with authentic, verifiable first-hand feedback.
Place consumer research in its full market context: continuously collect, clean and analyse large-scale data to identify trends, opportunities and change, extending and validating small-data findings at scale.
Not "empowerment" stories — reproducible processes: real voices → AI tagging and clustering → conclusions that land in product and channel strategy.
A high-value, high-repeat but slow-selling niche category. Years of conventional research only surfaced ideas the client already knew — framed surveys cannot reveal opportunities outside the client’s own assumptions.
Around 75% of growth came from overseas, yet frontline retail staff were dealer employees — so HQ never heard the real in-store signals. Flying in was costly and partial; dealer relay was slow and distorted.
The brand had 30 new-product concepts across multiple innovation briefs. It needed to identify promising directions quickly — and know exactly how to improve the winners, not merely receive a ranking.
Sales among men aged 20–30 were declining, but the platform did not know where those customers were going or why its existing short-form video communication was failing to stick.
The brand wanted to find new sauce opportunities in real market demand, but flavour signals were scattered across dishes, regions and consumer language — too fragmented for conventional desk research to prioritize.
Before launch, the brand needed to know which of four elevator TVCs would be remembered, support purchase intent and build brand appeal — and how to improve the creative, not simply select the prettiest film.
Two laundry-care launches were underperforming. Headquarters needed fast, direct feedback from store promoters and consumers to determine whether the issue was product, in-store presentation, selling script or brand trust.
During new AC development, the brand needed to see attraction, conversion barriers, design and benefit gaps against its core competitor in a realistic e-commerce path — not just in a static survey.
An emerging premium haircare brand had gained online growth, but did not know whether traffic was becoming durable brand equity. The team needed to test whether its positioning was truly perceived and find purchase barriers and marketing actions.
Before Lunar New Year launch, the brand needed to select the combination of storyboard, creative idea and KV that would engage consumers while clearly carrying brand and product value.
Short-drama reach does not equal brand memory. The brand needed to assess drama appeal, brand recall and placement quality among genuinely exposed viewers, finding content worth further investment and placements that work.
The brand needed to rebuild ducted-AC NPS from the user perspective: not only knowing the recommendation score, but what drives it across awareness, purchase, installation, use and after-sales — and which needs deserve priority investment.
