User Interviews

A total of 11 users were interviewed for the purposes of this project.

Industry Analysis

The competitive analysis was conducted based on readily available research information for 4 other similar AI services: Siri, Google Assistant, Replika & ChatGPT.

Key Insights

We saw the opportunity to merge productivity with personality in a sleek, mobile-first design, and help users who are overwhelmed by multitasking but don’t trust assistants to “fully take over.”

79%

Lack of trust

Users are overwhelmed by multitasking but don’t trust assistants to “fully take over.”

99%

Privacy

They want control, customization, and trust in data usage.

85%

AI Voice

A default assistant voice or tone doesn’t resonate with everyone.

55%

Accessibility

Voice-only interaction feels limiting in public spaces.

Siri

Siri has the strength of the deep OS integration and a fully optimized mobile experience, but it’s relatively passive and lacks customization.
It’s only available for IOS.

• Chevron Down

Google Assistant

Strong contextual awareness and multi-device sync, but the user experience can feel transactional and cluttered.

• Chevron Down

Replika

Provides the user with a certain level of emotional connection through a conversational AI model. Less utility-focused, more social / emotional.

• Chevron Down

ChatGPT

Deep knowledge base, natural conversation, high flexibility. Not inherently proactive, lacks native OS and task integrations.

• Chevron Down

Mechanical, impersonal, overly limited

Users find it hard to engage with AI platforms on a deeper level

Lack of personalization

Interactions feel one-size-fits-all, with little adaptability to user preferences, tone, or daily habits.

Personal data protection

Users often don’t trust assistants to help with meaningful tasks, or abandon them after basic use because of personal data protection concerns.