6 Ways AI Can Transform Product Management

Every industry leader you follow will tell you one thing- “AI is the future.” 

Well, artificial intelligence is truly the future. Whether or not it is more intelligent than humans is up for debate for another time. 

We know that AI (artificial intelligence) is changing the way we work. AI and machine learning can help transform how product managers approach the entire product life-cycle. 

As artificial intelligence (AI) plays an increasingly important role in product management, it’s essential to ask how it can help us achieve our goals. 

AI can help us automate tasks, make better decisions, and optimize our products. 

This blog post will explore six ways AI can transform product management and help us achieve our goals. 

Let’s begin from scratch. We’ll look at what AI means to ensure we’re all on the same page. 

What Is AI?

AI stands for artificial intelligence. AI is the result of applying cognitive science techniques to artificially create something that performs tasks that only humans can perform, like reasoning, natural communication, and problem-solving.

In practical terms, you can deploy AI applications in several ways, including:

1. Machine learning: This method teaches computers to learn from data without being explicitly programmed. The data is gathered and labeled through data annotation processes

2. Natural language processing: This involves teaching computers to understand human language and respond naturally to humans.

3. Robotics: This involves using robots to carry out tasks that would otherwise be difficult or impossible for humans to do.

4. Predictive analytics: This method uses artificial intelligence to predict future events, trends, and behaviors.

5. Computer vision: This is the ability of computers to interpret and understand digital images.

6. Cybersecurity: This artificial intelligence protects computer networks and systems from illegal or unauthorized access.

7. Fraud detection: This is the use of artificial intelligence to detect and prevent fraud.

8. Recommendation systems: This method uses artificial intelligence to recommend products or services to users based on their previous behavior.

9. Search engines: This is artificial intelligence to search for and retrieve information from a database.

10. Autonomous vehicles: This uses artificial intelligence to develop vehicles that can drive themselves without a human driver.

Woah, that’s crazy, right? What progress we’ve made as a generation!

Now,  let’s understand why AI is important in product management. 

Why Is AI Important in Product Management?

Artificial intelligence (AI) has become an increasingly important tool in various fields, including product management. 

AI can help product managers in several ways, from streamlining the product development process to improving customer engagement.

There are many reasons why AI is important in product management. 

First, AI can help automate various tasks in the product development process, from market research to competitor analysis. This can free up product managers’ time to focus on other aspects of their job, such as strategy and product roadmap development.

Second, companies can use AI to improve customer engagement. For example, AI-powered chatbots can provide quick and efficient customer support, thus improving customer satisfaction. Chatbot marketing agency can help you to boost your overall marketing plan.

Additionally, you can use AI tools like Shopia to personalize the user experience by providing targeted recommendations based on past user behavior.

Overall, AI can be a valuable asset for product managers. 

By automating various tasks and improving customer engagement, AI can help product managers save time and improve the overall quality of their products.

Now, let’s get to the main course! We will give you not one but six ways AI can transform product management.

How Can AI Transform Product Management? 

Well, at Chisel, we advocate AI. After all, it is the future, isn’t it? 

Our product management tool is the #1 Agile product management software. This is because we understood the power of machine learning and used it to help you. 

Now it’s your turn. Let’s understand how you can use AI to reach your product excellence destiny. 

Here’s a quick list of how AI is transformational for product managers: 

1. AI transforms the user feedback process
2. AI enhances your meetings
3. AI improves usability testing
4. AI helps you write more detailed product specs
5. AI enhances your market intelligence
6. AI gives you a competitive advantage

Without any further ado, let’s deep dive into each of these benefits. 

AI Transforms the User Feedback Process

Currently, this is a manual curation process based on support tickets or feature requests from sales reps’ reports. 

This is a great use case for artificial intelligence. The data can be swifted through every seven days to generate an active list of items consumers want to rectify or add to the product. 

Moreover, when you automate your user feedback process, you cut down on the time and resources that go into it. This may positively impact your cash flow in the long run. 

So many companies simply use AI for their customer support process. It’s an innovative and efficient way to learn more about your customers while helping them. 

AI reduces human erros that may get in the way of working on user feedback. Machine learning will help you understand your users better than they understand themselves. 

A significant chunk of your user feedback is product feedback. Your product life-cycle improves when you use AI or AI-based product management tools that help you with product feedback. 

The product development journey in Agile can be smoother with the integration of AI-based feedback processes for iterations. 

AI Enhances Your Meetings

If you’re part of a larger company, communicating with your colleagues about what can affect your workflow is critical. 

AI could only recognize work overlaps and alert you before you start working on something. It would save a lot of time and headaches.

In a typical product manager’s day, processing queries from the engineering and testing teams takes at least an hour or more. 

To save time in systems like Trello, a trained algorithm may simply summarise these questions and recommend replies based on your previous behaviors.

You can improve your idea management system with AI integrations. Collect, analyze and generate internal and external ideas with AI. 

Moreover, AL can enhance your Scrum meeting too! How fascinating is it that one of the most efficient product roadmap tools, Scrum, can be even more efficient? 

Integrating AI into your system can help you prepare for your Scrum meetings and get updates and agendas before you begin. You can spend the meeting’s leading body on fundamental issues when all of that is off the table. 

Furthermore, AI enables you to skip the practice of frequent scrum meetings, which can be time-consuming. 

It collects and gives you constant updates about your Scrum team in real-time so you can work on it without having to wait for your next meeting. 

If you’re confused about what Scrum means, you can read more about the Agile product management methodology here. 

AI Improves Usability Testing

Ah, user testing! Another painstaking task in a product manager’s job description. 

Integrating Al into testing will only make software testers’ jobs simpler. It will save manual testers numerous hours your team would spend testing apps. 

It will improve their efficiency and agility. However, you may still need some human oversight of the testing procedure.

Al has quickly made its way into the digital realm with recent technological advancements. 

As a result, designers can integrate their applications into websites, resulting in improved functionality and user experience. 

Al converted a handwritten user interface design into editable HTML markup code. 

Do you realize you can now use Al-based communications with your consumers daily to optimize your e-commerce website?

AI Helps You Write More Detailed Product Specs 

Writing product specifications can take up a significant amount of time in the product management process. 

We imagine that an algorithm that understands how to read diverse use cases from a mock-up could help with this process. 

For example, simply comprehending the design of a button allows the AI to detail numerous use cases for that button and then confirm it by a supervisor.

The beauty of machine learning lies in the term itself. It learns. 

When you frequently feed portions of your product specs or user persona to AI tools, you can automatically generate high-quality and detailed product specifications without any effort. 

Additionally, you can also use AI content generator to generate your product content.

Machine learning algorithms can usually develop unique and meaningful descriptions from start to finish. 

In general, AI/ML practitioners utilize template-based descriptions with accurate attributes. 

Alternatively, they employ natural language programming (NLP) to construct full descriptions or auto-complete half-written descriptions with the help of Neural net or Markov chain models.

AI Enhances Your Market Intelligence

Lastly, a product manager must have a thorough understanding of the market in which they operate. 

There’s only a slim chance of creating something users want without market knowledge. 

Today’s AI-powered systems run thousands of words through natural language processing and sentiment analysis tools, providing real-time data about trends and prevalent sentiment. 

Research and development teams spend a lot of time creating reports as part of their research. Artificial intelligence, on the other hand, can assist in this situation.

AI has the potential to be a game-changer in this area by allowing market research to be conducted more swiftly and the results to be delivered more promptly.

It can evaluate large volumes of data in seconds, revealing trends and themes.

AI Gives You a Competitive Advantage

AI has the potential to revolutionize the way businesses operate. By harnessing the power of data and using it to create predictive models, companies can gain a competitive edge.

So how can AI give you a competitive advantage? Here are three ways:

1. AI can help you make better decisions.

AI can help you make better decisions by using data to create predictive models. 

For example, let’s say you’re a retailer trying to decide what products to stock in your store. Using AI, you can analyze data about customer buying habits and make predictions about what will sell well. 

This information can help you make better stocking decisions that increase sales.

2. AI can automate tasks.

There are many tasks that businesses have to do daily that can be automated using AI. 

For example, customer service tasks such as answering FAQs or handling returns. 

By automating these tasks, businesses can free up employees to do other jobs that are more value-added. This can lead to increased efficiency and productivity.

3. AI can help you personalize your offerings.

One of the benefits of AI is that it can help you personalize your offerings. 

By analyzing data about your customers, you can better understand their needs and wants. 

Your product team can then use this information to customize your products and services to meet their needs better. This can lead to increased customer satisfaction and loyalty.

Netflix is a significant player in the entertainment industry, using AI to give itself a competitive advantage. 

Here are some examples of how they are using AI:

• Netflix creates 85% of its content, and they use an AI content idea generator to decide which shows to produce.
• They use AI to personalize recommendations for each user.
• They use AI to monitor user engagement and fine-tune the user experience.
• Using AI, Netflix can stay ahead of the curve and offer its users a better experience than its competitors.

Doesn’t that sound transformational? We don’t want to make claims here, but if you are not using AI, you may be at a disadvantage compared to your competitors. 

Conclusion

AI is the present and future of product management. It can help you streamline processes, optimize resources, and make data-driven decisions. 

The role of AI in product management is rapidly evolving, and product managers can use it to improve everything from ideation to execution. 

However, it’s important to remember that AI is just one tool in the toolbox, and you should use it in conjunction with other methods to get the most out of it.

If you’re not ready for an AI transformation, you can always consider digital transformation with product management tools. 

Chisel is one such tool that can help you manage your product feedback and make better decisions. 

Use Chisel for free, starting today, and tell us about your transformation!