What is the most effective way to measure product lifecycle management?

Product Metrics have to be measured very carefully: 40% time should go in defining metrics, tracking everything possible would result in a lot of noise and is rarely helpful, data also have to be regularly and thoroughly tested before relying on the metrics. Defining your north star is a very important task, and can change how you go about developing your product, for example : traffic vs revenue, in the first case you'd be optimising for growth, second case you would be more focused on nps.

Additional optimised product metrics that could help to know the performance of the product and individual features are retention rate, North star metric, Daily Active Users (DAU)/ Monthly Active Users(MAU), Monthly Revenue Rate(MRR). Sometimes, these product metrics only provide a biased view, so there should be counter/ guardrail metrics like conversion rate against DAU.

Measuring PLM stems from the concept of understanding how long has the product been active and how effectively is it solving customers problems. If this relationship sees a drop in either of the two factors, then the next best step is to keep innovating the offerings until you see there cannot be anything more added (OR) the relevance of your product has decreased drastically. Once you reach this stage, it’s advisable to pivot into a new product or sunset the existing product to save time and resources which can be utilized elsewhere.

PLM effectiveness can be measured using metrics across stages and product domains Time to Market: This metric assesses the efficiency of product development processes Development Costs: Track the costs associated with development, including research and development, and tools overhead. Quality: Assess product quality throughout its lifecycle using metrics, e.g., defects # and complaints User Experience: Measure satisfaction through surveys and feedback. Satisfied customers are more likely to recommend Adoption %: Track the % at which users adopt new products Scalability: Assess the lifespan of products and their relevance/expansion in the market over time Calculate ROI: e.g., $$ generated or $$ saved with the costs incurred

According to me the most effective way to measure product lifecycle management lies in a holistic approach. It involves tracking key metrics at each stage from ideation to end-of-life. Begin by assessing customer satisfaction and engagement during the launch phase, transitioning to user adoption rates and feedback during the growth period. Monitor efficiency and scalability metrics as the product matures. As it approaches the decline, focus shifts to cost-effectiveness and potential innovations. Embrace analytics, user feedback, and performance metrics throughout, ensuring a continuous feedback loop. Successful PLM measurement integrates quantitative data with qualitative insights, fostering adaptability and strategic evolution.

Process Metrics defines the process involved in the the Product Development. Measurement of time is important for the Process metrics - Cycle time (time from beginning of task to end), Lead Time (time between Customer Requests and the request gets fulfilled). Process tracking indicates the setbacks and completes the loop for any imbalance, so that the time can be used effectively improving the speed & quality optimizing resources.

Process metrics, being an invaluable tool for tracking down how well the processes that involve product development and management are working, play an indispensable role in evaluating the performance of these processes. This encompassing metrics set has a broad view and covers areas like time-to-market, resource utilization, and workflow efficiency. Using an in-depth analysis of different stages of a product flow, companies get an opportunity to find out the weakest points, remove obstacles, and redistribute the resources better. Applying process metrics is the way to rigorous analysis of internal workflows, therefore the whole way of product development perfectly matches the strategic objectives and abides by deadline rules.

In product metrics, there are some improved ways to understand how well a product and its features are doing. These include things like how many users stick around over time, a key metric to guide decisions, how many people use the product each day or month, and how much money the product brings in monthly. But sometimes, just looking at these numbers might not give the full picture. That's why it's important to also check other metrics, like how many users actually buy something compared to how many use the product each day.

When it comes to measuring the impact of a product, there are some key metrics that can help. These include things like how many people keep using the product over time, a main metric to gauge success, how often people use the product daily or monthly, and how much money the product makes monthly. But sometimes, these metrics alone might not give the full picture. That's why it's important to also look at other metrics, like how many users actually buy something compared to how many use the product every day.

The impact metrics supply the scope through which the product facilitates lifecycle management not only on the organization and its stakeholders but also on the entire ecosystem. The framework should include all criteria that can measure the overall impact of product decisions, including market share growth, and reputation. Through the calculation of effects on the business as a whole, the companies can define ways to improve the concern and rush towards overall performance and continuity. In terms of metrics for impact, this serves as a compass, making possible a comprehensive view of how product management works hand in hand with the long-term success and resilience of the company in the volatile market marketplace.

In my opinion, impact metrics are the most effective measure of success. They provide actionable insights into a product's value throughout its lifecycle. By prioritizing impact metrics, product managers can make informed decisions at every stage, ensuring the product evolves to meet user needs while driving business success. Ultimately, they foster a customer-centric approach to product management, enabling continuous improvement and sustainable growth.

Impact metrics - defines the metrics, how the product development impacts the organization's Vision, Mission and Objectives. These Metrics defines the business in terms of revenue, satisfaction of Customer and Reach of Product towards Market, existing competitors, Social Impact.

Something I believe is missing is mapping customer buying behaviors to the product itself. For example, if you sell technology, map the sales to where clients sit on the adoption curve. If you see early adopters acquiring your products / services, then you know you're still relatively early in the lifecycle. If you see laggards then you're likely nearing the end of your product's lifespan.

Implementation of PLM metrics selection and usage approach should be done in a planned and potential manner. Organizations need to pick their metrics, consider the end goal in mind, and then ensure the relevance and effectiveness of the metrics are constantly being met. The basis for the metric selection would be - finding the correct KPIs which are those indicators that will determine the organization's objectives. It is of utmost importance to keep on measuring and improving metrics that are aligned either with the fluctuating business goals or the industry patterns. The most important metrics that should be tracked are those that ensure actionable insights that make it possible to implement advancements.

Your PLM metrics should directly support these objectives. Consider what success looks like for your product throughout its lifecycle and identify key performance indicators (KPIs). Product metrics may include time to market, product quality, and customer satisfaction. Impact metrics may involve revenue growth, cost reduction, and market share. Make sure the metrics are specific, measurable, achievable, relevant, and time-bound (SMART). Gather data from diverse sources and methods to provide a comprehensive view of product performance and process effectiveness. Use insights from metric analysis to drive continuous improvement initiatives, refine processes, and make informed decisions.

In my experience Product Lifecycle is closely connected to market maturity stages and the product adoption curve. Try to combine these concepts to get a nuanced understanding of your market position and customer segments. Map your PLC against market maturity stages —introduction, growth, maturity, and decline—and aligning them with the six segments of the product adoption curve (innovators, early adopters, early majority, late majority, laggards). This analysis helps to discover sales and growth patterns, highlighting opportunities for revitalization in mature markets by targeting new customer segments. This may help breathe new life into your products, ensuring they meet the distinct needs of each customer segment at every market phase.

An in-depth analysis of the product lifecycle management that involves more aspects than fundamental indicators is one of the requirements. Combining input from customers, assessing environmental influence, and maintaining compliance with regulations are the principal elements of the whole assessment. The ability of organizations to comprehend these factors enables them to take necessary measures ahead of life circumstances such as market shifts and regulations. In conclusion, the competent measurement strategy of the product lifecycle management process must operate as a balance of product, process, and impact indices. Consistently, accurately, and wisely implementing these metrics according to the purpose of the organization.

Measuring PLM metrics is great. Weaving the metrics into everyday mechanisms is better and is the key to delivering results. Your North Star impact metric should be the focus of your MBRs/QBRs so that your stakeholders see how your bets (e.g. features) are affecting your drivers (e.g. changes in your product or process metrics). This shows strategic clarity and accountability, connects the dots between how inputs shape outputs, and makes it obvious what value you’re bringing each month and quarter.