Artificial Intelligence, AI Driven UX helps to design useful digital products or services.

Improve Machine learning, NLP, Computer vision, or AI through UX design. With potential to better personalisation of data, efficiency and monetisation. Help user’s get their needs from AI and meet your business goals by adding added value through UX design. Here we explore basic principles and strategy’s for helping you monetise.

Principles

Get to know and understand the users

User Research helps to identify users needs, preferences and pain points. Build a delightful experience for the user of your digital AI product or service.

Trust

Building trust in use of a product or service is paramount. Provide users with control over their data and ability to customise any interactions.

Personalisation

Improve your conversion rate and deliver targeted content or features for a personalised experience.

Improving on our previous product:

Provide a way to regularly feedback to enhance your product or service lifecycle. Update or enhance your product with new features or content.

Strategies

Ramp up those Product Offerings:

Build features or premium offerings the users will want to pay for such as:

• Advanced analytics
• Personalised AI coaching, Chatbot help using Conversationalist AI
• Exclusive content
• One off collaborations with other brands.

Consider a Subscription based Model

• Allow users to choose levels of AI integration suiting their goals. Use a Subscription-based pricing for AI-driven features.
• Offer free trials of your product to your user base.
• Use Tiered Models a User can choose with a range of packages.
• Use freemium models with a basic version or reduced feature set of your product or service. This helps to attract users and prove the value of premium content or features.

Data-Driven Insights

• Use AI for analysis of user behaviour and preference.
• Marketing strategies
• Product development
• Provide insightful improvements to existing customer service strategies.
• Use aggregated data gathered by AI for market research and strategic planning.
• Use predictive analytics

Advertising, to suit your audience:

• Deliver targeted advertising with AI in your digital product or service.
• Ads should be non-intrusive, and enhancing.
• Partner with brands for sponsored content that is of the user interests.

Ai’s efficiency and Cost savings though UX:

• AI improves operational efficiency through automation of repetitive tasks.
• Competitive pricing can help the users to save on cost. Reinvest saved costs to enhance UX further.
• AI-driven efficiency will help to provide a user with better cost realisation. Navigate potential hazards of data analysis on a large-scale. Improving ROI something to shout about in your marketing.

UX basics

The UX business canvas

What no one tells you about User research

UX Design definition:

UX is for creating products and services providing meaningful and relevant experiences. 

A quick guide to the User Researcher.

What does the customer want from your online digital services, and products? How do we find out what the user actually needs our digital products and services to do?

Cue the User Researcher who researchers the User, also known as the customer. A User could interact with different technologies, websites, software, or mobile applications.

User Behaviour, context, and characteristics, are then captured into findings by User Researchers. Data gathered from User research contributes to the design process.

Using data gathering techniques, the User Researcher provides insightful, and often contrasting patterns. User Research techniques used in a project may be:

• Observation of the User using a digital product or service
• Focus groups used to determine the Users reaction to your digital product and service
• Questionnaires – Assessing User satisfaction in using a digital product, or online service.

So what is the difference between a User research and that of a Market Researcher ?

Techniques are similar in the data gathering process. Application of the collated data differs between User Research, and Market Researcher.

Market Researchers watch what people need from a product, service, or what and why they buy, or preferences. Exploring opportunities to define, or identify markets, or competition.

User Researcher’s identify, a design’s impact, through user behaviors, needs, and motivations.

Interested in finding out how you can carry out User Research that will make an impact on your digital products, or services? Talk to ixdlab_

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