When discussing internally which features to build and design, it’s essential to be able to explain the type of features you are talking about clearly. This is something most UX designers are aware of intuitively. Features serve different purposes, which is why you create them differently, but now you will be able to defend your creations.
1. Use the Product Feature Mix to defend your designs – correctly categorising your features ensures that their effect is predictable and desirable. This clairvoyance superpower lets you know what you’re building before you build it.
2. Design features depending on the product adoption stage – know what is the optimal feature mix for the early adopters, the majority and the laggards. Grow your product as the winners.
3. Create balanced products – balancing your product canmake it or break it. The feature balance needs to fit your opportunity and positioning or it will go against user expectations.
Choosing which features to build first and next is the trickiest part of product creation. Managers, users, developers and designers all fight for what they consider important. This course will help you get the bigger picture of product design based on the opportunity you are after. You will be able to make prioritization choices and convince the team which way to go.
1. The Product Feature Mix for your Product Opportunity – You know who you are building the product for and what the stakeholders want to achieve. Now, with the Product Feature Mix model in hand, you are also able to plan and prioritize what you need to work on in order to create a successful product.
2. The right Feature Mix depending on the adoption curve – Did you know you are building minimum three different products depending on your adoption status? Now you will know what is the optimal feature mix for the early adopters, the majority and the laggards and how to win users in each product cycle.
3. Feature balance – Now that you know what excites users about the product, you should know how not to overdo it. Balancing your product canmake it or break it. The feature balance needs to fit your opportunity and positioning or it will go against user expectations.
How to decide which features To Prioritise in your Pilot Product
The vast majority of startups run out of money before reaching critical adoption. That’s why smart feature prioritisation is essential to increase the chance that your product takes off with the early adopters and beyond.
1. Enter the Product Opportunity Matrix – the quadrant you are in determines your product development and marketing priorities.
2. The Feature Mix – correctly categorising your features ensures that their effect is predictable and desirable. This clairvoyance superpower lets you know what you’re building before you build it.
3. Moving along the adoption curve – know what is the optimal feature mix for the early adopters, the majority and the laggards. Grow your product as the winners.
4. Feature balance – balancing your product canmake it or break it. The feature balance needs to fit your opportunity and positioning or it will go against user expectations.
5. Zeroing in on that Product-Market Fit – know the real indicators of PMF (it might not be what you’ve been told). What and how to measure and what to do to increase the chance of seeing this hockey stick.
6. The last quadrant – you’ve been told that a solution looking for a problem is a trap. In reality it is an opportunity – that’s why it’s in the matrix. It’s just not for everybody.
This one of a kind course aims on increasing your chance to get funded by improving your skills, your understanding of investors, but most of al your confidence.
1. The common – what every investor wants and the two things you need to convince them.
2. Three types of investors – understanding the psychology of different investors and what resonates with them.
3. A story is worth a thousand pictures – how to create a winning story with examples.
Secure a 50% discount and get notified when the course launches.
AI Features Adoption
How to Build AI features that meet user expectations
The problem is not in the technology, but how it’s being positioned. It’s nature should match user expectations.
1. The problem: why AI is hard to adopt in certain context – If your AI product features suffer low adoption from users, you may be experiencing a classical cognitive dissonance in a new form.
2. Understanding user expectations to solve AI adoption – a dive in the evolution of products. If you have watched the course video for the Feature Mix model, this will give you its evolutionary origins.
3. Match features with expectations – how to future proof your product and avoid user rejection regardless of the technology.