The Ultimate Guide to Product Metrics (free links)

Prod guys - where do you learn all the stuff related to product usage and performance... lately hard time gathering and going through all the stuff related to metrics and performance.. any sources for this highly appreciated

Hey guys as a marketing manager. What do you think are the metrics we should post on a Dashboard. I've to present this to a CEO. Please help me out.

Hi Everyone, Need an advise I'm currently working on a B2B SaaS product which was recently launched, and is in a growth stage where we've just established PMF I'm looking to track some product metrics so as to understand the impact of each feature launch and understand what to build/ improve next. Can anyone suggest what product metrics are usually tracked/ would be helpful to track for products in these stages?

Hey everyone, I was asked this question in one of the interviews: How would you structure the approach/org of analytics at "X" to ensure a successful, sustainable data management and offering? -- What would be your thoughts on this and how will you answer it?

Whenever you a call PM fraud here, they come & put justifications like you don't know business, products built by Engineers are shyt, only PMs can build good products, engineers don't prioritize business needs bla bla. A data scientist/analytics perspective: 1. When we call a PM fraud, we refer to mainly those who come without a background in either of tech or business. Cool wannabes straight out of college & learnt nothing but attitude over years. If a PM was an engineer, or analytics, or business or ops, then others first see him/her as engineer/etc & then a manager. That's the right way it should be. 2. 'Business won't be prioritized' is such a complacency: Business is bread & butter of Analytics and AI. It is the primary thing we check in interviews, a large portion of the interview focus' on the problem statement and prioritisations. End note: PMs are hot, but only when they have a solid foundation in stuff they are building. They need to know depths. Anyone apart from this breed are worthless & Indian startups are filled with this shyt A best PM would be a senior engineer/analyst with penchant for business practicality & customer perspective. Why of 1st Point? Because how can you manage a team when you don't even know what that team does? For eg: I can tell my PM any random blabbing about why model is working/not & she has no idea to judge my words. Leave AI, with tech pipelines too I can give any deadlines & justify it how would she know? Besides if they don't have tech background they bring in random expectations which is far away from feasibility. Why should any tech guy respect them? They can understand business req, connect with business teams and build better. That's the exact role of a project manager.

Hi All, We are building a B2C product and anticipating 2.5lac DAU. Shall be starting with a small team of 10 engineers. Could some one suggest a cheapest tool that will have 1. Metrics 2. Logging 3. Correlation of the above 2. So preferably both of them in one place. I have used datadog in the past and really liked it but it is out of our budget for now. I am thinking of using ELK with Prometheus though system metrics and logs will be separated. And with aws cloud watch, cost is a concern and do not want engineers to look at AWS dashboard for all debugging and monitoring purpose. ( We might also use Azure or GCP later, if we get startup credits. So then separate tools for logging might be an overhead. Anyone from past experience, any suggestions?

Here are all the tools i've used: 1. Mixpanel 2. Moengage 3. Metabase (at a company with multi-million userbase) 4. Amplitude Mixpanel wins for me in terms of usability, Amplitude wins if time spent is the goal for your app. rest of them are pure shit (will result in big analytics team).

Fellow PMs, What performance metrics do you measure for your web application and what tools do you use for the same? I am aware of Lighthouse Web Vitals Report by Google, is there any other good alternatives? Also, Lighthouse doesn't work for apps behind logins, how do you measure in that case?

As the title says I want to learn how and which tools do product people in startups use to query data, make dashboards, do A/B testing and all that. I'm working at a startup where none of this is practiced, so I want to know how other folks do it as most startups in the growth stage and above do this and expect the candidate to be aware of the tools, setup etc.