Quantitative and qualitative survey data collected from retail associates and customers across 47 Rosie Home Tech partner locations.
134 retail sales associates across all 47 partner locations completed a confidential self-assessment survey. Associates rated their own confidence across key sales competencies using a 1–5 scale (1 = Not at all confident, 5 = Extremely confident).
Associates were asked to rate confidence across five competency areas. Results revealed consistently low confidence in AI-specific knowledge and consultative selling, while product specification knowledge rated moderately higher.
| Competency Area | Avg Rating (1–5) | % Rating 4 or 5 |
|---|---|---|
| Product specifications (features, pricing) | 3.6 | 61% |
| Explaining model differences to customers | 3.1 | 44% |
| Handling AI privacy concerns | 2.1 | 18% |
| Consultative selling (asking vs. telling) | 2.4 | 22% |
| Recommending the right tier for the customer | 2.8 | 31% |
When asked "What do you most commonly do when a customer asks about how Rosie handles their data?", associate responses broke down as follows:
Key Finding: 81% of associates either redirect or give vague reassurances when confronted with AI privacy questions. Only 9% are able to provide a substantive response — the core driver of unresolved customer concerns and non-purchase decisions.
Associates were also asked to identify the primary reason customers walk away without purchasing. The most common response (61%) was "They seemed unsure about how the AI works or whether it's safe." The second most common (24%) was "The price seemed too high without a clear value explanation."
89 customers who visited a Rosie display but did not complete a purchase completed a brief exit survey at participating locations. The survey was administered via tablet at the exit of the retail floor section.
Customers were asked to select all reasons that applied to their decision not to purchase today. Multiple selections were permitted.
| Reason for Non-Purchase | % Selected |
|---|---|
| I still had questions about how the AI collects my data | 63% |
| The price felt too high for what I understood the value to be | 54% |
| I wasn't sure which model was right for my situation | 48% |
| The associate mostly explained features but didn't ask about my needs | 71% |
| I wanted to research more before deciding | 44% |
| I wasn't sure if it would work with my existing devices | 37% |
When asked "If the associate had answered all your questions fully, how likely would you have been to purchase today?", 58% of respondents selected "Very likely" or "Likely." This suggests the majority of non-purchases represent recoverable sales opportunities tied directly to associate knowledge and conversation skills.
Key Finding: 67% of surveyed customers left with at least one unanswered question. 63% specifically cited unresolved AI data concerns. These are not undecided customers — they are customers whose concerns were not addressed during the sales interaction.
Associates were asked to evaluate their current training experience and rate its effectiveness in preparing them for real sales conversations.
The most commonly requested training topics (open text responses, coded by theme) were: AI privacy explanation skills (89 mentions), consultative questioning techniques (72 mentions), tier recommendation confidence (61 mentions), and hands-on product demonstration training (44 mentions).