In-Home Usage Testing (iHUT) for Actionable Customer Insights

Gain insights into how customers use products at home, delivering actionable recommendations to improve design, functionality, marketing, and user experience.
In the current marketplace, understanding how consumers engage with products in their own context is critical. iHUT is a tool that can provide organizations with genuine customer insight, in-depth product experience feedback, and an equitable understanding of the customer experience and real-world usage, making this device ideal for data-driven decision making and market research.

When managing in-home product testing, qualitative research, Wanalysing consumer insight, and preparing reports as a professional facilitator, the organization can leverage real

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customer experiences into structured, actionable intelligence. This intelligence can work as supported insights as you highlight product development, marketing and UX design and customer engagement.

Statswork offers iHUT moderation as well as market research services and qualitative research reporting, we help you securely convert authentic customer interactions into data informed business intelligence that can help you make shrewder business decisions.
Services Related to iHUT Testing in Home Use
iHUT collects customer insights in real-world settings to understand product usage, experiences, and challenges for actionable decisions by business.

Our Industries

At Statswork we work with organizations to reduce costs, increase efficiencies, and enhance customer service using advanced artificial intelligence and machine learning algorithm development. 

Benefits of Statswork for In-Home Usage Testing (iHUT)

Statswork delivers expert iHUT services that provide reliable customer insights and actionable intelligence to improve products, UX, and marketing decisions.

In-Home Usage Testing (iHUT) – Our Process

Step Navigation Example
Planning Observation Data Collection Analysis Recommendations

1. Planning & Participant Recruitment

Establish goals and recruit participants from your target demographic.

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2. Product Interactions Observation

Observe product interactions in user’s home and behaviour during interaction.

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3. Data Collection

Collect data through notes, photos or video.

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4. Analysis

Produce usability trends, problems and areas to improve on usage.

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5. Recommendations

Provide recommendations on optimizing product, user experience, and marketing.

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