Designing Agent Voice, Tone, and Boundaries for Trust-Driven Adoption

Designing Agent Voice, Tone, and Boundaries for Trust-Driven Adoption

How I used user mental models to guide language, escalation, and handoff in an AI system.

How I used user mental models to guide language, escalation, and handoff in an AI system.

Context

Expert Mock, an AI-powered mock interview platform, had an MVP but lacked clarity on brand positioning, voice, and user trust. Founder intent and user perception were misaligned, limiting differentiation and adoption in a crowded market.

My Role

Content Strategist & Workshop Facilitator

I led research, facilitation, and synthesis to define a clear brand narrative, voice system, and content direction grounded in user perception.

Methods

  • Brand Diagnostic Workshop (Founder Lens):

    Designed and facilitated a structured workshop to understand how the founder perceived the brand, using:

    • Peaks & Valleys

    • Dreams & Nightmares

    • Golden Circle

    • Purpose articulation

    • Competitive landscape mapping

    This surfaced assumptions around authority, differentiation, and value.


  • Co-Creation Workshop (User Lens):

    Facilitated a participatory workshop to capture how users experienced the brand, using:

    • Brand DNA & personality exercises

    • “What if” messaging patterns

    • Archetype exploration

    • This / Not That value clarification

    • Content ideation frameworks (Crazy 8s)

    This revealed emotional expectations users had from the product.


  • Founder vs. User Perception Mapping:

    Synthesized workshop outputs to compare:

    • Founder view: Power, authority, strategic guidance

    • User view: Empathy, support, approachability, confidence-building

    This gap became the core design problem.

  • Brand Archetype Definition:
    Translated insights into a Mentor archetype, defining:

    • Goals (guidance, growth, preparation)

    • Motivations (care, impact, legacy)

    • Pains (fear of failure, missed potential)

    This archetype anchored tone, content depth, and trust signals.

  • Voice, Tone & Content System Design
    Designed a cohesive content system including:

    • Brand essence and value proposition

    • Voice & tone principles (confident, supportive, empowering)

    • Messaging pillars and content concepts

    • Visual and narrative examples for consistency across channels

    This ensured the brand sounded human, credible, and encouraging, not intimidating.

  • Brand Diagnostic Workshop (Founder Lens)

    Designed and facilitated a structured workshop to understand how the founder perceived the brand, using:

    • Peaks & Valleys

    • Dreams & Nightmares

    • Golden Circle

    • Purpose articulation

    • Competitive landscape mapping

    This surfaced assumptions around authority, differentiation, and value.

  • Co-Creation Workshop (User Lens): Facilitated a participatory workshop to capture how users experienced the brand, using:

    • Brand DNA & personality exercises

    • “What if” messaging patterns

    • Archetype exploration

    • This / Not That value clarification

    • Content ideation frameworks (Crazy 8s)

    This revealed emotional expectations users had from the product.

  • Voice, Tone & Messaging Frameworks
    Designed content principles that balanced:

    • Functional rigor (feedback, improvement)

    • Emotional safety (encouragement, reassurance)

    • Clear expectations around AI limitations and support

  • Delegation & Trust Strategy
    Defined when the system should guide, when it should challenge, and how it should explain feedback to avoid discouragement or over-authority.

Key Insight

Users were more willing to engage when the brand felt like a partner in growth, not an evaluator. Trust emerged from how the system communicated, not just what it offered.

Outcome

  • Clear brand positioning rooted in user trust

  • Unified voice, tone, and messaging across touchpoints

  • Content strategies supporting acquisition and engagement

  • Foundation for scalable marketing, partnerships, and growth


This project demonstrates how content strategy, facilitation, and synthesis can transform ambiguous brand intent into a clear, trust-driven content system—critical for adoption in AI-assisted products.

Product concept & Brand attributes

Product concept & Brand attributes

Brand Diagnostic Workshop Plan with Founder

Brand Diagnostic Workshop Plan with Founder

Co-creation Workshop with Users

Co-creation Workshop with Users

Analysis & Brand Archetype

Analysis & Brand Archetype

Voice, Tone & Content System Design

Voice, Tone & Content System Design

Context

Rubenius Interiors, an award-winning interior design studio with global operations, faced friction in client onboarding. Every new prospect needed repeated explanations of services, sectors, and portfolio, and the manual requirements-gathering process slowed down awareness, lead generation, and conversion.

My Role

UX/Product Designer & Conversational Architect

  • I analyzed common chatbot failures,

  • Mapped user intent patterns,

  • Designed personas, and

  • Built an 8-step conversational framework that adapts to different prospect types while keeping data capture seamless.

Methods

  • UX Audit: Studied existing chatbots to identify typical drop-off triggers, long threads, unclear pathways, information overload.

  • User Segmentation: Defined 3 user types aligned with the funnel:

    • Window-Shopper – browsing for information

    • Inquisitive Researcher – comparing differentiators

    • Goal-Oriented Client – ready to share project details

  • Conversation Architecture: Created a branching flow that intelligently responds to each persona’s intent, from awareness to off-boarding.

  • Prototyping & Iteration: Built and refined a modular chatbot using free low-code tools.

Key Insight

Clients didn’t follow a linear journey. They entered with different intent levels and forcing them into a single script caused friction. Designing a branching conversation allowed the chatbot to educate, engage, and capture requirements without overwhelming users.

Outcome

The final chatbot delivered a fast, engaging onboarding experience that:

  • Increased qualified lead retention by 30% in beta

  • Eliminated repetitive manual explanations

  • Captured project details upfront (location, scope, budget, preferences)

  • Supported 24/7 automated lead qualification across all markets

It gave Rubenius a scalable way to understand client needs before the first call, reducing friction and accelerating conversions.

Nitya Jois Portfolio

Nitya Jois Portfolio

Nitya Jois Portfolio

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