The Ultimate Toolbox: 11 Must-Have Tools for Product Managers
As a product manager, having the right tools at your disposal is essential for success. With an ever-evolving market and increasing customer demands, it is crucial to stay ahead of the competition and ensure the growth of your product. From market segmentation to gaining customer insights, and from product launch to marketing strategies, this blog will introduce you to the ultimate toolbox for product managers. With these 11 must-have tools, you will have the power to make informed decisions, drive product growth, and achieve your goals like never before. Get ready to elevate your skills and take your product management career to new heights! The importance of having the right tools as a product manager Having the right tools as a product manager is of utmost importance. In today’s fast-paced business environment, staying ahead of the competition is vital. With the right set of tools, product managers can make informed decisions, effectively plan and execute strategies, and drive product growth. These tools provide a systematic approach to market analysis, customer insights, and competitor research. They enable product managers to identify new opportunities, understand customer needs and preferences, and tailor their products accordingly. Moreover, having the right tools streamlines communication, collaboration, and task management, ensuring a smooth workflow and increased productivity. Therefore, investing in the right toolbox is not just a luxury, but a necessity for any product manager looking to excel in their role. #1: Project management software One of the most essential tools for a product manager is project management software. As a product manager, you are responsible for overseeing multiple projects simultaneously and ensuring that each one stays on track. Without the right project management software, it can be challenging to keep all the moving parts organized and efficiently manage your team. Project management software provides a centralized platform where you can create and assign tasks, set deadlines, and track progress. It allows you to collaborate with your team, communicate updates, and share important documents. With features like Gantt charts and kanban boards, you can visualize project timelines and easily identify bottlenecks or areas that require attention. Whether you’re working with an in-house team or remotely managing a dispersed team, having the right project management software is essential to keeping everyone aligned and focused on achieving their goals. Major examples are Asana and Monday.com #2: Collaboration and communication tools As a product manager, your success heavily relies on effective collaboration and communication with your team members. That’s why the next essential tool in our ultimate toolbox is collaboration and communication software. With the right tools, you can keep everyone on the same page and foster transparent and efficient communication. Whether you are working with an in-house team or managing a remote team, these tools will bridge the gap and ensure that everyone is aligned towards achieving project goals. Collaboration and communication software provides a platform for real-time messaging, video conferencing, file sharing, and task management. It allows you to easily communicate updates, assign tasks, and track progress, all in one place. By utilizing these tools, you can enhance team productivity, foster better collaboration, and ensure that everyone is working towards a common vision. Look for software that offers features like chat threads, integrations with project management software, and robust security measures for the best results. Some of the popular tools under here you can try are Slack, Microsoft Teams, Zoom and Google Workspace (formerly G Suite) #3: Wireframing and prototyping tools Wireframing and prototyping tools are a crucial components of a product manager’s toolkit. These tools enable you to visually represent your product ideas and concepts, allowing you to effectively communicate and iterate on your designs. Wireframing tools provide a simplified visual representation of your product’s user interface, showcasing key elements and functionality. They help you create a basic layout and structure, giving you a clear understanding of how different components will interact with each other. By using these tools, you can easily gather feedback from stakeholders and make necessary adjustments before moving forward with development. Some of the popular tools under here you can try are Sketch, Figma, Adobe XD Prototyping tools take your wireframes a step further by allowing you to create interactive and clickable prototypes. This enables you to simulate user interaction and test the usability of your design. By actively engaging with your prototypes, stakeholders can provide valuable insights and identify potential improvements early on in the process. Investing in wireframing and prototyping tools empowers you to create better user experiences and optimize your product development workflow. Look for tools that offer intuitive interfaces, collaboration features, and the ability to export or share prototypes with your team or clients. #4: Customer feedback and survey tools Gaining insights and feedback from your customers is a vital aspect of product management. That’s where customer feedback and survey tools come in. These tools allow you to gather feedback, opinions, and suggestions directly from your target audience, helping you understand their needs and preferences. Customer feedback tools provide you with various channels to collect feedback, such as surveys, feedback forms, and in-app messaging. You can create surveys and questionnaires to gather specific data and insights, allowing you to make data-driven decisions for your product. Additionally, these tools often feature analytics and reporting capabilities, enabling you to analyze the collected data and identify emerging trends or issues. By leveraging customer feedback tools, you can ensure that your product is aligned with your customers’ expectations, driving user satisfaction and loyalty. Moreover, the feedback you receive can help prioritize features, refine your product roadmap, and guide future iterations. #5: Analytics and reporting tools Gaining insights from customer feedback is essential, but it’s equally important to analyze and interpret that data effectively. That’s where analytics and reporting tools come into play. These tools enable product managers to measure and track key metrics, such as user engagement, conversion rates, and customer behavior. Analytics tools Like Google Analytics provide real-time data and customizable dashboards, allowing you to monitor the performance of your product
Product Prioritisation: How to improve it using the Fogg model
As a product manager, you are constantly faced with product prioritisation—the challenge of deciding what to build next. How do you prioritise the features and improvements that will deliver the most value to your users and your business? How do you balance the needs and expectations of different stakeholders and customers? How do you ensure that your product roadmap aligns with your vision and strategy? One framework that can help you answer these questions is the Fogg Behavioural Model (FBM). Developed by Dr. BJ Fogg, a behavioural scientist and director of the Stanford Persuasive Technology Lab, the FBM is a simple yet powerful model that explains how human behaviour is influenced by three factors: 1. Motivation 2. Ability 3. Triggers. How those FBM help Product Prioritisation? According to the FBM, for a behaviour to occur, a person must have sufficient motivation to perform it, sufficient ability to perform it, and a trigger to prompt them to perform it. If any of these factors are missing or insufficient, the behaviour will not happen. Motivation refers to the degree of desire or willingness to perform a behaviour. It can be influenced by various factors, such as pleasure or pain, hope or fear, social acceptance or rejection, etc. Motivation can vary depending on the context and the individual. Ability refers to the degree of ease or difficulty to perform a behaviour. It can be influenced by various factors, such as time, money, physical effort, mental effort, social deviance, non-routine, etc. Ability can also vary depending on the context and the individual. ALSO READ: Generating Better Ideas for Your Products — Lessons from Teresa Torres Triggers refer to the cues or signals that prompt a person to perform a behaviour. They can be external or internal. External triggers are stimuli that come from outside the person, such as notifications, buttons, reminders, etc. Internal triggers are stimuli that come from within the person, such as emotions, thoughts, memories, etc. The FBM can be represented by a formula: B = MAT. Behaviour = Motivation x Ability x Trigger. The formula implies that for a behaviour to occur, all three factors must be present and above a certain threshold. The higher the motivation and ability, the more likely the behaviour will happen when triggered. Conversely, the lower the motivation and ability, the less likely the behaviour will happen when triggered. How does this relate to product prioritisation? As a product manager, you want to design products that enable and encourage your users to perform certain behaviours that create value for them and for your business. For example, you may want your users to sign up for your service, use your features regularly, invite their friends to join your platform, provide feedback on your product, etc. To achieve these outcomes, you need to understand what motivates your users to perform these behaviours, what makes it easy or hard for them to perform these behaviours, and what triggers them to perform these behaviours. By applying the FBM to your product decisions, you can prioritise the features and improvements that will increase your users’ motivation and ability to perform the desired behaviours and provide them with effective triggers to prompt them to do so. For instance, at Insight7, we are constantly reaching out to users to understand what influences their behaviours and how they utilise our app. This helps us to understand how we can tweak our product to improve the ease of use, and eventually, the speed with which users accomplish their tasks using Insight7. Here are some use cases you can consider: – If you want your users to sign up for your service (behaviour), you need to motivate them by highlighting the benefits and value proposition of your service (motivation), make it easy for them to sign up by reducing friction and complexity in the registration process (ability), and provide them with clear and compelling calls-to-action on your landing page or in your marketing campaigns (trigger). – To get users utilising your features regularly (behaviour), you need to motivate them by showing them how your features help them achieve their goals and solve their problems (motivation), make it easy for them to use your features by providing intuitive and user-friendly interfaces (ability), and provide them with timely and relevant reminders or notifications that nudge them to use your features when they need them (trigger). – If you want your users to invite their friends to join your platform (behaviour), you need to motivate them by rewarding them with incentives or social recognition for inviting their friends (motivation), make it easy for them to invite their friends by integrating with their contacts or social networks (ability), and provide them with prompts or suggestions that encourage them to invite their friends at appropriate moments (trigger). – To get users to provide feedback on your product (behaviour), you need to motivate them by showing them how their feedback matters and how it will improve your product (motivation), make it easy for them to provide feedback by offering simple and convenient ways for them to share their opinions (ability), and provide them with requests or invitations that ask them for their feedback at optimal times (trigger). In summary, product prioritisation is not an easy task. Developing, testing and marketing new features is a gruelling, expensive series of tasks. However, using the right frameworks can improve the speed of decision making and ultimately help product teams make better decisions on what actions to prioritise.
AI in Product Discovery: 3 predictions to materialize by 2023
Artificial Intelligence (AI) and machine learning in product discovery are a major transition many product development professionals believe will become widely adopted for discovery and delivery in the upcoming year. With AI’s powerful data capabilities transforming the operations and capabilities of many companies, the same is expected in the product world. In 2022, we saw the widespread use and success of OpenAI’s ChatGPT which reiterated AI capabilities and applications to every industry. In 2023, it is expected that every industry, with a focus on product discovery, will seek to leverage the potential of AI to unlock new capabilities. Here are 3 AI predictions in product discovery that will become a reality sooner than you think. Automate customer research interview analysis There are currently a lot of product discovery tools that help data scientists and UX researchers carry out customer research interview analysis and generate insights. However, leveraging the power of AI, it is safe to say that this process will be fully automated by AI-powered tools and transform the product discovery process for product teams. One of such AI-powered product discovery tools is Insight7. One major challenge of UX researchers is the amount of time spent on transcribing customer research interviews and then analyzing data from the interviews to generate valuable insights. With the power of AI, 2023 will see the emergence of a fully automated customer research process, saving so much time and money. AI will help product managers automate more of the low-level tasks and allow them to focus more on creative and strategic work. Increase in synthetic data in usability testing Synthetic data – data artificially generated by a computer simulation – will generally grow exponentially in 2023. In product discovery, synthetic data will be used increasingly especially in usability testing for products. This is because synthetic data offers a more cost-effective and efficient avenue to collect data for more intelligent AI. Usability testing is a technique used in user-centered interaction to evaluate a product by testing it on users. It gives direct input on how real users use the product. Usability testing is necessary for the success of a viable end product. A functioning software that creates confusion among its users will not last, hence the need for usability testing. It measures the ease of use of a device while also focusing on measuring the product’s capacity to meet its intended purpose. Usability testing is a way to see how easy it is to use something by testing it with real users. Users are asked to complete tasks while they are being observed by a researcher to see where potential problems may be encountered. However, the mind blowing ability of Al to process data makes it a powerful asset for any form of usability testing as it also eliminates biased approaches in A/B testing. Another strength of AI over humans in usability testing is its ability to analyze thousands of different design variations while generating alternatives. AI replacing UX researchers Well, about this point I guess we’ll all wait to see this play out. It’s no news that Artificial Intelligence is taking the world by storm. AI-powered tools are now a part of our everyday lives and may be gradually edging humans out of their jobs as it allows us to deliver better results faster, more easily and with fewer resources. UX and qualitative research at large are no strangers to this technological revolution. In recent years, many of the most time-consuming steps once performed manually are being optimized by AI, saving UX researchers countless hours of repetitive and somewhat boring tasks. Based on their analysis of over 200,000 jobs in 29 countries, PwC estimates that up to 30% of jobs could be automated by the mid-2030s. However, the employment outlook for humans isn’t necessarily as bleak as it sounds. The World Economic Forum predicts that, while AI will take some jobs away from humans, it will also create 97 million new jobs by 2025. AI isn’t a potential threat to the UX researcher’s livelihood. Rather, it can be a powerful tool that UX researchers can leverage to generate valuable insights to create top-notch user experiences. Even with these statistics, some people still opine that AI would be a threat to UX researchers’ jobs. These are just a few of the pointers indicating a significant takeover by AI in product discovery this year. Here’s a bonus point: Rise of non tech folks building products with AI Accessibility and ease of use of AI would birth many products built by non certified product teams. With AI such as the ChatGPT, individuals can just have an idea and ask the AI to develop it and even write codes. With minimal knowledge of product design and development, anybody can now build a product or at least, make an attempt to do so. Would it be a valuable or useful product? In my opinion, highly unlikely. However, get ready to witness an AI takeover in product development this year as many experiments would be done. We’ll keep tabs on the trends through the year and watch these predictions play out.
