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Breaking the Cycle of Mediocrity
As product developers, we've all been there - working on a project with a clear budget, timeline, and set of technical requirements, only to feel that something's not quite right.
Per Lindstedt
5 days ago2 min read


Loyal Customer - Invisible Assets
Loyal customers are every successful company’s biggest asset, but they are invisible on the balance sheet.
Per Lindstedt
Mar 272 min read


Creating products that are easy to sell is wrong.
As product developers and organizations, we've all been there: market size or margins are dropping, marketing and sales are pushing for new products, and we're under pressure to deliver. In the heat of the moment, it's easy to get caught up and create the product that sales and marketing want. But is this really the right approach? I've spent nearly 40 years in product development, and I've seen firsthand how an inside-out perspective not only holds us back but also leads to
Per Lindstedt
Mar 162 min read


Profitability - a concept even the best business schools got wrong!
The pursuit of profitability leads companies down a catastrophic path of destruction. Management, egged on by high-priced management consultants, argues that the organization can cut its way to profitability through cost-slashing measures, price hikes, supplier squeezes, or downsizing.
Per Lindstedt
Mar 41 min read


The future for your organization looks grim!
It is not that conflicting priorities create a reactive, high-stress culture that is the recipe for failure; rather, the concept of customer value is lost in the battle.
Per Lindstedt
Feb 261 min read


Making a product foolproof is hard is hard, as irrational actions are often the proof of a fool..
The challenges of designing and building a truly foolproof product stem from the unpredictability of human behavior. Because fools - or rather, people who behave in irrational or unexpected ways - are incredibly creative and resourceful.
Per Lindstedt
Feb 111 min read


Many predictions about AI are wrong, including this one.
As we gaze into the crystal ball to forecast the future of Artificial Intelligence, we are reminded that many AI predictions have so far proven wrong. But why is that?
Per Lindstedt
Feb 51 min read
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