In-home user testing (IHUT) for a global appliance manufacturer
A global appliance manufacturer needed to understand how a new cordless vacuum platform would hold up outside the lab, in real homes, on real floors, in the hands of people who had never seen it before. The product was launching under different names in three markets, on a timeline tied to an internal mass-production date that could move without much warning.
The brief called for two sequential in-home trial waves, each running two weeks, with issues from wave one feeding straight into engineering before wave two began. Partway through the programme, the client’s production timeline shifted, creating both a scheduling headache and an opportunity to bring a lagging market into the same final debrief. Neither became the client’s problem to solve.
The target was ordinary households across the UK, US and Canada, using the product as their primary vacuum for the full trial period rather than in a single supervised session. An in-home user test was the right fit precisely because it doesn’t control for the mess, mixed flooring, and daily habits a lab test strips away.
A private online research community carried the study day to day, with structured tasks, weekly topline surveys and a closing debrief survey. A moderation team reviewed submissions daily and a shared, serial-number-traceable issue log connected every report back to the physical unit that produced it.
In-home user test (IHUT), moderated online research community
30+ households, recruited across three international markets
Two sequential two-week in-home trial waves
Recruitment, community & guide design, unit logistics and shipping, live issue triage with engineering, returns tracking, reporting and video debrief
Every household had to earn its place in the study. Candidates were screened against strict criteria covering current cleaning habits and the appliances they already owned, so the final sample reflected the manufacturer’s real target buyer rather than just a willing volunteer. None of the households selected had ever taken part in market research before, keeping their reactions to the product genuine rather than shaped by prior study experience.
Screening ran through a strict vetting process: candidates were asked for photo verification of the appliances they already owned to confirm their claims, followed by a phone call with each shortlisted household before their place was confirmed. Every tester signed a non-disclosure agreement to protect the client’s intellectual property.
Zest owned the operational spine of the trial from first unit dispatch to final return. Trial units were shipped and tracked across three countries on a staggered schedule tied to each market’s community launch date, with unit-level labelling so returns could always be matched to the tester who had used them.
When hardware issues surfaced mid-trial, a floorhead losing power, an accessory tool making an unexpected noise, a unit struggling with blockages on certain flooring, each was escalated to the client’s engineering team the same day. Follow-up questions were put to testers to narrow down the cause before deciding whether a mid-trial replacement was worth the days of fieldwork it would cost.
When the client’s production date shifted mid-programme, Zest re-planned community closing dates and the debrief schedule, kept every stakeholder aligned on what would make the cut-off, and adjusted the commercial estimate transparently as the scope changed.
All units shipped, tracked, and returned. Every hardware issue triaged the same day it was reported. One consolidated debrief, on schedule, across all three markets.
In-home testing is often treated as the more forgiving cousin of the in-person study, spread over weeks, so surely there’s give in the schedule. In practice, it’s the opposite: more households, more units in transit, more points where something can go quiet or go wrong, over a much longer window.
That’s the standard Zest holds on every IHUT project, regardless of scale: issues triaged the day they’re reported, logistics traced down to the individual unit, and a client timeline that can move without the fieldwork falling apart around it.