How can you effectively measure product engagement as a PM?

Engagement is never final goal . Products are meant to solve customer problems . And no customer wakes up in the morning and thinks today my problem is lack of engagement. So start by asking yourself what is the problem you are solving . Engagement maybe a decent proxy there.

One of the hard skills to acquire for a PM is to define Product KPIs. Every product would have different KPIS and even same product would would have different KPIS depedning upon its PLC (product life cycle)- you would measure diffeent KPI in Growth vs maturity stage. Engagement is one of the KPI that PM has to define - whether it is DAU, MAU or average session duration, User Churn etc.

In my opinion. Measuring engagement is the easiest piece. The hard piece is identifying what to measure. You want to measure if your users are getting the value from your product? Are you making their life easy? If you are a meal kit delivery business, you might want to measure repeat orders. If you are social networking company, you might want to increase total sales one spent and so on Identify what is the value that your product provides.

In my opinion. Measuring engagement is the easiest piece. The hard piece is identifying what to measure. You want to measure if your users are getting the value from your product. Are you making their life easy? If you are a meal kit delivery business, you might want to measure repeat orders. If you are social networking company, you might want to increase total time spent and so on Identify what is the value that your product provides.

"Measuring product engagement without the right metrics is like flying blind." To stay on course: 1. Track Usage Metrics: Daily active users and session length. 2. Monitor Growth: Look at acquisition channels and retention rates. 3. Analyze Interactions: Understand feature usage patterns. 4. Survey Users: Gain qualitative insights directly from customer feedback. 5. Test and Iterate: Use A/B testing to refine features and improve engagement. Sharp measurement tools can turn engagement from a nebulous concept into a clear roadmap for growth.

Don't find yourself drowing in available metrics. Prioritize them with regarding the highest insight leverage. Once you defined your goal (1.), select KPIs that will measure your success in achieving it. Good KPIs follow 3 criteria: 1. Specific (inherent to the central question. ie DAU tells nothing about sign-ups) 2. Relevant (don't use metrics because they are popular and common, but because they make actual sense for your goal). 3. Focused (proactively priotize metrics and the additional ones if more clarity is needed) Consider using frameworks for picking metrics (see 5)

As a product manager, finding ways to measure how valuable our products are is critical. It is therefore based on the product you are delivering to select a set of indicators that can help you with that. Few examples can be : - Active users for your products - Number of production defects - An adoption metric - And one of the most important in my view, feedback and surveys.

Start by defining clear goals that align with product's unique vision and target audience. Choose key metrics that directly correlate with these goals, taking into account the specific nature of the product. For example, a social media app might prioritize metrics like daily active users and user engagement, while an e-commerce platform might focus on conversion rates and repeat purchases. Regularly track and analyze these metrics to monitor progress and identify areas for improvement. Use the insights gained to make informed decisions and optimize user engagement strategies accordingly. Continuously refine approach based on feedback received to ensure sustained success and value delivery tailored to the product's requirements.

As a product manager, measure engagement with indicators like user activity (logins, sessions), retention rate, churn rate, feature adoption, conversion rate, feedback/surveys, and time spent. These metrics offer insights into user interaction, satisfaction, feature usage, and overall product health, guiding decisions to enhance user experience and drive growth.

After defining product engagement goals, select specific key performance indicators (KPIs) to track and measure progress. KPIs should be SMART: specific, measurable, actionable, relevant, and time-bound. For instance, to increase daily active users, track the percentage of users logging in daily over a set period.

Measuring product engagement effectively involves utilizing tools to track the customer journey from onboarding onwards. By analyzing these metrics, we can identify any obstacles in the user experience. If we detect issues with a particular feature or its design, you collaborate with the design team to conduct a heuristic evaluation of the flow. This allows you to enhance the feature's usability and ensure a smoother user journey.

In addition to utilizing tools like surveys and analytics platforms, it's crucial to tap into user feedback and behavior patterns when collecting and analyzing product engagement data. Actively seeking input from users through channels such as customer support interactions, social media, and user forums provides valuable qualitative insights that complement quantitative metrics. By combining both types of data, product managers can gain a holistic understanding of user engagement, identifying recurring themes, pain points, and preferences. This comprehensive approach allows for the discovery of valuable insights that inform product improvements and optimize user experiences and also to meet the evolving needs and expectations of users.

Once product engagement indicators are chosen, gather and analyze data through diverse methods like surveys, interviews, analytics platforms, and user testing. Analyze data using descriptive, inferential, or predictive statistics, and qualitative or quantitative methods. The aim is to comprehend user engagement, factors influencing behavior, and identify opportunities or challenges.

Aside monitoring the analytics and analyzing the product engagement data, it is crucial to also get interviews and feedbacks from the users. This can be done by reaching out to different segments of users - Active users, inactive users and unsubscribed users. Getting their honest feedbacks as to what keeps them engaged on the platform or for those sers that unsubscribed or are inactive, what we can better do to keep the users engaged.

Utilizing a spectrum of tools and methods including surveys, interviews, feedback forms, analytics platforms, and user testing facilitates comprehensive data collection. Similarly, employing diverse analytical techniques such as descriptive, inferential, or predictive statistics, as well as qualitative or quantitative methods, enables nuanced insights extraction. The overarching objective of data collection and analysis is to decipher user engagement patterns, identify influential factors, and unearth potential opportunities or challenges. From my perspective, the meticulous examination of user engagement data serves as the cornerstone for informed decision-making and iterative product enhancements.

As a PM, you can measure product engagement through metrics like: 1. Active users: The number of people using the product regularly. These could be monthly, weekly aur daily active users. 2. User retention rate: The % of users returning to your product over a period of time. 3. Churn Rate: The % of users who have stopped using your product over a period of time. 4. Average time spent per user on the application. 5. Conversion rate: The number of users who have competed certain actions like purchase, sign up, login, etc. 6. Customer satisfaction (CSAT) and Net promoter score (NPS) measures engagement levels of the users with the application.

To share insights on product engagement, we can use real user stories or case studies to show how our product helps people or businesses. Comparing our product with competitors' can highlight what we do better. Visuals like user journey maps or behavioral analytics can help stakeholders see where we can improve. Planning for future trends with scenarios or predictions can guide our product strategy. The aim is for everyone to understand our product's value and how it fits with our goals.

As a PM, effectively communicate product engagement insights to stakeholders like the team, customers, executives, or investors. Present findings clearly with visual aids like charts, graphs, or dashboards, using storytelling techniques such as narratives or personas. Provide actionable recommendations on feature prioritization, improvements, or experiments to drive informed decision-making.

To clearly communicate your engagement insights to your team, you need to create user stories as well as user case scenarios and journey maps so that you can walk your team in the shoes of the users, giving them a clear picture of what features to prioritize, improvements to make, and recommendations

Frameworks come in handy since you don't need to reinvent the wheel for each single product. As they offer systemic thinking, they help a) be faster; b) make sure you have everything covered. I appreciate a lot HEART framework: ? Happiness (CSAT, NPS, etc) ? Engagement (frequency of an action) ? Adoption (CR, drop-off rate, etc) ? Retention (churn, returning user rate, etc) ? Task success (product specific, along your def of "success") Remember that frameworks should be taken only has a starting point. Pick among these 5 categories one or several metrics and customize.

Measuring product engagement is crucial for product managers to understand and how users are interacting with their product and to identify areas for improvement. Here are some effective ways to measure product engagement: 1. Active users : Track the number of active users over time. 2. Session Length and Frequency: Measure how long users spend in each session and how frequently they use the product. 3.Retention Rate: Measure how many users return to the product over a specific period,such as weekly or monthly. 4. Conversion Rate : Measure the conversion rate of key actions or goals with the product such as sign-ups ,purchases or completing a specific workflow.

Analyze the telemetry data to get insight into the user pattern/behavior. You can use multiple tools to create dashboards/graphs. Do Make sure you suppress the noise before making any decision from the collected data. Do not get lost in the sea of the data.

To streamline and enhance your product engagement measurement process, leverage existing tools and frameworks tailored for this purpose. Popular tools like Google Analytics, Mixpanel, Amplitude, or Heap enable tracking, measuring, and analyzing user behavior, including sessions, events, funnels, cohorts, and retention. Additionally, frameworks like HEART, Pirate Metrics, or Product Engagement Score assist in defining, structuring, and evaluating product engagement goals and indicators efficiently.

I use Google Analytics and Mixpanel for product analytics. Mixpanel allows you to track and analyze in-app product engagement and see every moment of the customer experience clearly, so you can make changes that work and this is clearly one of the reasons for product engagement analytics

Create good habits on Day 0 to ensure you're keeping a solid pulse on your metrics' performance. Bookmark a dashboard & set up automated emails to ingrain this monitoring into part of your day to day. As the product and user base evolves, you may find that you need to evolve your metric later on. Keep track of any interesting trends in your data and ways in which your metrics & qualitatively data disagree; sometimes, you need to adjust over time to get a clear read.

Absolutely, as a product manager, continuously measuring product engagement is vital for understanding how users interact with your product over time. This involves regularly monitoring metrics, refining data collection and analysis methods, and adjusting goals and indicators based on insights gained. Experimentation, hypothesis testing, and measuring the impact of changes are essential components of this iterative process, enabling product managers to optimize engagement and deliver maximum value to users while achieving product objectives.

Continuously enhancing product engagement requires ongoing attention and adaptation. As a PM, it's crucial to regularly track engagement metrics, refine data collection methods, and adjust goals based on insights and feedback. Experimenting with new ideas, testing various solutions, and evaluating their effects are essential steps to drive improvement. This iterative process enables us to refine our product, better meet user needs, and accomplish our objectives effectively.

As a PM, measuring product engagement is an ongoing process of learning and improvement. Continuously monitor metrics, review data collection methods, and update goals based on findings and feedback. Experiment with hypotheses, test solutions, and measure impact to optimize engagement, deliver value, and achieve product objectives effectively.

Don't underestimate the power of retrospective evaluation, ensure it is well rounded. Look at metrics from the customer experience as well as qa, design, engineering and customer success. Use the dashboards you establish to gage where calibration is needed across the various stages of the product. Raise ideas or conerns in a manner that elicit open collaboration on best practices and process improvement across the squad. Everyone should be working toward the same end goals.

?? Initially, I established KPIs tailored to our product, including metrics like user engagement, retention rates, and conversion rates. ?? Utilizing analytics tools, we tracked user interactions with our kitchen cabinet designs across various touchpoints, such as website visits, app usage, and social media engagement. ?? Conducting user surveys and feedback sessions provided qualitative insights into user satisfaction and sentiment towards our products.

In my experience engagement is not a goal. It is a continuous process where users adopt a product or process and they continue to use it. The reason this is a process is because users change overtime… they grow older, and the new users adopt the product/process. The expectations of this new segment of users changes over time, and the product has to keep up with those expectations. This engagement needs to be monitored and assessed in terms of the environment that the product / process thrives in on a continual basis. The boundaries of the engagement metrics may not necessarily be true and hold as time goes on, as it is highly dependent on the user segments and the life cycle phase of the product itself.

"In the B2B segment, product adoption metrics play a critical role in assessing the success and impact of our offerings. These metrics, which should ideally be integrated into the technical architecture, provide valuable insights into how customers are engaging with our products and services. By tracking adoption metrics, we gain valuable inputs for refining our roadmap, identifying areas for improvement, and optimizing pricing strategies. Incorporating these metrics into our technical framework ensures that we have a holistic understanding of product performance and can make informed decisions to drive growth and customer satisfaction.

Engagement is not a one-off activity, it is an activity that requires constant monitoring, analyzing and reiteration and there should always be room for improvement and change. The aspect of having a retrospective to look at the effectiveness of an engagement pattern, metric or feature should not be undermined.