Stimulate innovation & ideation

At the start of the project, we establish an overarching timeline with key milestones. Regular sprint planning and review meetings ensure that we are consistently aligned with these milestones. During these meetings, we assess progress, address any challenges, and adjust our plan as needed to meet the deadlines.

Is a framework where different levels of strategy align and support each other within an organisation. It involves a hierarchy of strategies, typically including corporate, business unit, and functional (tactical) levels. It makes strategy more flexible for us to implement and not disrupt other elements of your business. You can read more about nested strategy here.

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We begin with an assessment of your current systems to identify integration points and opportunities.

Our team then designs a customised AI solution that aligns with your business objectives and integrates seamlessly with your existing infrastructure. We focus on minimal disruption, ensuring a smooth transition with training and support for your team to adapt to the new AI-enhanced processes.

Distinction offers an increasingly broad range of AI solutions tailored to various business needs.

These include:

• Machine learning algorithms for predictive analytics
• Natural language processing for customer service automation
• AI-driven data analysis for market insights
• Intelligent automation for operational efficiency

Our solutions are designed to cater to multiple industries, offering custom applications in areas such as finance, healthcare, education, and more.

Each solution is tailored to meet the unique challenges and opportunities of your business, ensuring that you benefit from the most relevant and advanced AI technologies.

The most common mistakes we see in MVP development include:

• Trying to include too much in the MVP - losing the 'minimum' aspect
• Neglecting user experience
• Underestimating the importance of design
• Ignoring market research
• Not paying attention to feedback

It's essential to focus on core functionalities that reflect the product's value proposition.

Misinterpreting what the market needs, focusing too much on perfection, and launching too late can also hinder the success of an MVP.

Avoid making big assumptions without proof (ideally backed up by data) and ensure to gather and act on user feedback to iterate and improve the product continuously.

The key components of an MVP include just enough features to satisfy (ideally delight) early customers and provide feedback for future product development.

The essential features are those that solve the core problem for your target audience, which obviously vary from product to product.

The MVP should include a basic user interface, essential functionalities to test the primary hypothesis, and enough value to make the user interested in the product. 'Enough value' is a subjective measure, and will also vary from product to product.

It should also be able to collect user feedback effectively for future improvements. The focus should be on simplicity and the minimum set of features to address the primary need of your target market.

An MVP differs significantly from a prototype and a full-fledged product.

A prototype is a preliminary model to explore ideas and design concepts, not necessarily intended for release to the public. It's more about testing a concept than a market-ready product.

In contrast, an MVP is a simplified version of the product, developed with enough features to attract early adopters and validate a product idea early in the product development cycle.

A full-fledged product is a completely developed product with all intended features and functionalities, ready for the mass market.

We elaborate on the differences between and MVP and a prototype in our journal.

The essence of user-centricity lies in understanding and addressing user needs and preferences.

We employ a holistic approach to product design that goes beyond aesthetics, focusing on creating experiences that resonate with users. Through in-depth market analysis, user interviews, and feedback loops, user feedback is continuously incorporated into the design process, making the product evolve in alignment with user expectations.

The product discovery process enhances product-market fit by filtering out bad ideas early on - saving wasted time, money, and effort. It helps focus all efforts on building the right product, for the right audience.

It employs a team of experts to validate your idea against market demand, ensuring a better chance of success.

To validate market demand, the process engages in stakeholder and user interviews, competitor and market analysis. This rigorous validation helps to avoid mis-reading market demand, a primary reason for startup failure.