Needs Assessment · Summary Report

Rosie Home Tech
Needs Assessment Findings

A multi-method performance analysis examining the root causes of a 41% conversion rate gap across 47 retail partner locations. Four data collection methods were used. The findings converge on a clear instructional gap.

Methods UsedSurvey · Interviews · Observation · Records Review

Participants134 Associates · 89 Customers · 24 Interviewees

Locations47 Retail Partners

Report DateQ1 2026

41%

Conversion rate below target

78%

Associates rely on product cards

67%

Customers left with unanswered questions

Associates answered AI privacy questions substantively

Locations with AI privacy training

Background & Problem Statement

Why this assessment was initiated

Rosie Home Tech partners with 47 retail locations nationwide to sell its three-model AI home assistant product line: Rosie Classic ($899), Rosie Pro ($1,499), and Rosie Elite ($2,299). In Q3 2025, corporate sales analytics identified that conversion rates across all partner locations were consistently 41% below the projected target — a gap that could not be explained by product availability, pricing changes, or foot traffic data.

A needs assessment was commissioned to determine whether this gap was attributable to a training and performance issue, a product issue, a marketing issue, or some combination thereof. The assessment was designed to examine what associates know, what they do, and what training resources currently exist — and to compare those findings against what customers report experiencing.

Central question: Is the conversion rate gap a product problem, a price problem, or a people and training problem? This assessment was designed to find out.

Methods Used

How data was collected

Four complementary data collection methods were used to triangulate findings. Each method was designed to reveal a different dimension of the performance gap.

Survey

134 associate self-assessments + 89 customer exit surveys across all 47 locations

Interviews

24 semi-structured interviews with non-purchasing customers at 8 locations

Observation

62 structured field observations of live sales interactions at 12 locations over 84 hours

Training Records Review

31 training artifacts reviewed across all 47 locations covering 2023–2026

Key Findings — Convergence Across Methods

What the data consistently showed

The four methods produced highly consistent findings. Rather than pointing to isolated issues, the data tells a unified story about what is happening on the sales floor and why.

Associates are product-literate but conversation-limited. They can describe Rosie's features accurately but have not been trained to lead consultative conversations that connect those features to a customer's specific household needs.

AI privacy concerns are the single most common customer barrier — cited in 63% of exit surveys, 21 of 24 interviews, and observed in 61% of floor interactions. Associates are almost entirely unprepared to address them: only 6% provided a substantive response when observed.

The current training ecosystem contains zero content on AI privacy explanation and near-zero content on consultative selling or objection handling across all 47 locations.

Associates know they are unprepared: 81% said they would feel more confident with a dedicated objection-handling resource, and 74% had never received guidance on consultative selling for AI products.

The opportunity is largely recoverable. 58% of non-purchasing customers said they would likely or very likely have purchased if their questions had been answered. These are not lost customers — they are undertrained conversations.

Unified Finding: The 41% conversion gap is a training and performance gap, not a product or pricing gap. Customers want Rosie. They need associates who can answer their questions and help them choose the right model. Neither condition is currently being met by existing training.

Performance & Training Gaps Identified

Prioritized by impact on conversion rate

AI Privacy Explanation — Critical Gap

No training exists. 61% of customers raise this concern. Only 6% of associates can respond substantively. This is the highest-impact, highest-urgency gap in the system.

Consultative Selling Skills — Critical Gap

Associates open with product information in 76% of observed interactions. Only 18% ask a household discovery question. No training framework exists for needs-based sales conversations.

Objection Handling — High Priority Gap

Only 12% of associates have completed any objection handling training. Where it exists, it is a static FAQ sheet with no practice component and no assessment.

Tier Recommendation Confidence — High Priority Gap

Associates can describe each model but are not equipped with a framework for determining which model fits a given customer's profile. Only 23% made a specific recommendation with a reason in observed interactions.

Smart Home Compatibility Knowledge — Moderate Gap

Fewer than half of locations have any compatibility training. Associates unable to confirm compatibility for existing smart home systems for a $1,499+ purchase decision.

Training Recommendations

Proposed instructional interventions based on findings

The following recommendations are prioritized by urgency and projected impact on conversion rate. All recommendations are grounded directly in the multi-method data collected.

01Develop an AI Privacy Conversation ModuleImmediate

Create a dedicated training module that equips associates to explain Rosie's data practices in plain, confident language. Must include scenario-based practice and a performance check. The AI Privacy Policy document should be integrated as a customer-facing reference tool associates are trained to use during conversations.

02Implement the H.O.M.E. Consultative Selling FrameworkImmediate

Deploy a standardized consultative selling framework across all 47 partner locations. The framework should guide associates through a five-step conversation structure: Hear, Orient, Match, Engage, Empower. Framework training should include roleplay practice with realistic customer profiles and a manager observation checklist.

03Create an Objection Handling Reference Guide with Practice ScenariosHigh Priority

Replace static FAQ sheets with a comprehensive objection handling guide that includes scripted responses, coaching tips, and practice scenarios. Training should be required (not optional) with completion tracked centrally. An assessed component should measure application, not just recall.

04Develop a Customer Profiling & Tier Recommendation Decision GuideHigh Priority

Train associates to map customer household profiles to the appropriate Rosie tier using a clear decision framework. Include three distinct buyer personas and a quick-reference recommendation guide associates can use during the Orient step of the sales conversation.

05Standardize Onboarding & Establish Centralized Completion TrackingMedium Priority

Currently, training varies by location and completion is tracked inconsistently. Standardize all required training modules and implement centralized tracking at the corporate level. Require completion of all core modules before associates interact with customers at the Rosie display.

Access the Full Datasets

View complete data for each collection method

Each dataset below contains the complete data collected via that method, including raw findings, tables, representative quotes, and method-specific analysis.

Dataset 01

Associate Survey Results

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Dataset 02

Customer Interview Data

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Dataset 03

Floor Observation Data

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Dataset 04

Training Records Review

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