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Aleksei Badianov @Badianov

Amazon, Senior Product Manager

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TRIZ: The Problem-Solving Methodology for Product Managers

Level of difficultyEasy
Reading time11 min
Views2.2K

Background

As a product manager with over a decade of experience, I'm always looking for new ways to enhance my skills and help other product managers advance in their careers. One area that many companies focus on during the job interview process is analytical and creative problem-solving. And as product managers, we encounter these types of challenges on a daily basis. It's important to stay sharp and continuously develop our problem-solving abilities. That's why I made it a habit to practice a logic puzzle every day. But I also wondered if there was a common approach to solving these puzzles. That's when I discovered TRIZ – the Theory of Inventive Problem Solving. In this article, I'll provide an overview of what TRIZ is and how it can be applied in product management. Then, I'll apply TRIZ principles to solve a series of logical puzzles, showcasing the power and effectiveness of this methodology. So whether you're an experienced product manager looking to enhance your skills or someone who enjoys a good brain teaser, read on to discover the power of TRIZ!

If you find TRIZ to be a useful tool for problem-solving and innovation, there are many resources available to help you delve deeper into the methodology. The TRIZ Journal, for example, offers enough information on TRIZ, including case studies, articles, and other resources. You can also find books and online courses that provide a more in-depth look at TRIZ and how it can be applied in different industries and contexts. So if you're interested in learning more, there are plenty of opportunities to expand your knowledge and apply TRIZ to your work.

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Total votes 2: ↑2 and ↓0+2
Comments13

Will transport planners lose their jobs as AI becomes smarter?

Level of difficultyMedium
Reading time13 min
Views1K

As a Product Manager who has worked on the development of delivery route optimisation software for 10+ years, I see that modern technologies can significantly improve the optimisation process and deliver better solutions. AI, machine learning, and other modern technologies have the potential to revolutionise the way delivery routes are optimised in the future.

With the increasing availability of data and the advancement of AI and machine learning algorithms, it is becoming possible to develop more sophisticated prediction models that can be integrated into optimisation algorithms to make more accurate and informed decisions about route planning and scheduling. Machine learning algorithms can be trained to predict customer demand based on historical sales data and other market trends, allowing businesses to optimise their delivery schedules and routes accordingly. AI can also be used to optimise delivery schedules based on customer preferences and other relevant factors.

Blockchain technology could be used to create a secure, decentralised database of information about deliveries, including information about the products being shipped, the route they are taking, and the status of the delivery. This could help increase transparency and accountability in the delivery process as well as reduce the risk of fraud and theft.

Internet of Things (IoT) devices, such as sensors and GPS trackers, may collect real-time data about delivery vehicles and their surroundings. This data could be analysed and used to optimise delivery routes in real time, as well as to track the location of deliveries and monitor the condition of the products being shipped.

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Total votes 1: ↑1 and ↓0+1
Comments13

Листиклс – простой метод сравнительного анализа вашего предложения с альтернативами

Level of difficultyMedium
Reading time5 min
Views1.1K

У меня есть убойная идея для нового продукта! Он будет круче всех. У него будет вот такая классная функция, и вот такой крутой интерфейс, с блокчейном и искусственным интеллектом, с блэкджеком и… ну вы знаете…

Сразу будем делать? Или сначала проверим, а кто‑то вообще его купит?

Я уверен, что у статей‑списков есть огромный потенциал для проверки гипотез о спросе.

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Total votes 6: ↑2 and ↓4-2
Comments2

Listicles — a simple technique for benchmarking your value proposition against alternatives

Level of difficultyMedium
Reading time5 min
Views774

I believe listicles have a huge potential for testing demand hypotheses. Have you tried using listicles for your demand validation? If so - let us know in the comments how this worked for you.

Do you know these "Top N something something" kind of articles? Like:
- 5 best GPS vehicle trackers
- The 14 hair growth products that actually work
- Top 10 Best CRM Software Tools in 2023
They are often referred to as "listicles" - articles presented in the form of a list.

I love them - they make picking a new phone, a movie to watch, an app to install much easier. I also use them at work all the time while looking for solutions to everyday challenges.

So what if we use one of them to benchmark our product against the best available alternatives?

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Total votes 4: ↑4 and ↓0+4
Comments1

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Product Manager
Senior
Product management
Product development
Product marketing
Project management
Project planning
Scrum
Agile
Growth Hacking