CT is shit imo. Too slow and doesn't have much flexibility. Mixpanel is better but still nothing can beat the OG analysis by query writing

Hey, I'm at paytm too. I've never used mixpanel, so is it like Clevertap + pulse (our internal tool) combined?

Growth Manager

Bruh Pulse is the shittiest. I'm not even considering it on the league of MP/CT/Amplitude 😂😂😂

Product Manager

I can understand the contrast you projected. Having used both, I feel both have pros n cons.  
  
  
 When u have huge scales, paying for SaaS makes it too costly. Also the controls are less when you have to take it via third party. Some of the compliances force you to keep things in-house. 
  
 SaaS works best when you have low to moderate volumes. Plus you don’t have engineering capacity where any functional team members can tag the events and reflect on dashboards. 
  
  
 If you are loving mixpanel, try exploring Pendo. Both are gold standard tools.

Never heard of pendo. Thanks will check it out

Product Owner

I’ve worked across many orgs, one of them with 2mn plus MAU had entire product analytics pipeline on redis. Every event manually configured. Every property manually configured. You know what that r...

Welcome to Product Managers's Private Community

I’ve worked across many orgs, one of them with 2mn plus MAU had entire product analytics pipeline on redis. Every event manually configured. Every property manually configured. You know what that resulted into?  An analytics team of 60 people. Most of them writing dumb queries for business and product teams. Why? Because events were configured in a weird way. It also resulted in higher turnaround time to do any analysis. 

Then I switched. Joined a startup. They were using mixpanel. And I’ll kid you not, I always thought analytics is not for me. Instantly fell in love with mixpanel. And started spending lot of time on it. 

This is the difference. And you’ve to spend to get quality.

Warning long post- A good take on analytics tool

Warning long post- A good take on analytics tool- Grapevine

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).

Which is you go-to product analytics tool?

Software Developer

I’ve worked for different companies and my experience varied a lot. 

One my previous employer didn’t want to invest in mixpanel / product analytics tool and we ended up configuring each event manually and passed it on to redshift. Due to this we just had too much of dependency on analytics. 

Compare to it now I only take there help when I want to get some correlation or major exploration done. 

How has been your experience so far?

How closely do you work with analytics team?

Welcome to Indian Startups's Private Community

I work on head of razor-pay analytics  and currently I feel the work quality is very bad only product good analytics dashboard and few projects on a smoky detection and rest is crap bau work . I have worked in Swiggy before and very few ground breaking Ai work . I have decided to quit Indian startup  and start my own . Tc 1.5 cr exp 15 years . Nobody can give me good work

Very bad analytics work in razor pay

Data Scientist

Welcome to Data Scientists's Private Community

Hi all,

This question is for people who have been in this field (any form of analytics) for a few years.

My background (You can skip to the next section and jump back for reference here):
Role: Data Scientist/Analyst
Tech stack: Python (ML), SQL, Tableau
YOE: 2 years
Work: Started here as a fresher. Being in a service based company, we offer analytics solutions. I have worked to create a clients data pipeline(No code tool), to maintaining it, creating dashboards (Primary task) and ML models (Based on any major change in metrics).
Salary: On the lower spectrum (Definitely!)

Reason for this post:
I would call myself good with tools but lacks industry knowledge and the maturity to actually be in analytics. I do decent, but I have to depend on my manager sometimes to understand the business and provide correct solutions. But I guess that is how it is in case of any fresher starting out?

Question:
Is pursuing a 2 year MBA (Targetting only Tier 1 colleges) a good idea for someone who is already working in analytics for 3 years (by the time I join an MBA program)?
Please share your thoughts.

Context to the question:
I've discussed with someone who did their MBA and works in analytics for a bank now. And according to them, the best way to progress in analytics is to choose a domain and stick to it. And to reset my career, I should do an MBA. This will help me get an understanding of all the domains, improve my soft skills (and time management, etc.) and also give me a good place to start fresh. And they say it will help me in the future as well, as it gives me a very good alumni network.

I'm considering this because of my ability to network has not been that great and also to get the domain knowledge they said I'll be getting. But is it really worth it considering I lose 2 years salary, and salary growth and also have to spend a big amount. 

Thanks in advance to anyone who replies!

A question regarding the need of an MBA in analytics

How do you end up getting insights from your data? Do you’ve data analyst/ business analyst? or do you query data yourself? or  do you use mixpanel/ or some product analytic tool which is properly configured?

What’s your relationship with data?

Hey GV folks, long-time lurker, first-time poster here. I'm a product leader at Zomato, managing a team of 8 PMs. Today, I want to share a practice that's become the cornerstone of our product philosophy - and it all started with me being "punished" by my first manager.

At the cost of self praising, this is some really good advice so I hope you’re able to extract the maximum value out of this.

Five years ago, I was a cocky new PM, fresh out of a fancy consulting gig. I thought I knew everything about our users based on data and surveys.

My wake-up call came when I royally screwed up a feature release. Instead of firing me, my manager did something unconventional - she made me spend a week as a delivery partner.

I was pissed. Riding around Bangalore in the March heat, navigating traffic, dealing with hangry customers - how was this supposed to make me a better PM? But on day three, while waiting for an order outside Truffles (fellow Bangaloreans, you know the wait I'm talking about), I struck up a conversation with a few seasoned delivery partners.

What I learned in those 30 minutes blew my mind. They shared hacks they'd developed, pain points I'd never considered, and insights about customer behavior that no amount of data could have revealed. I realized I'd been building features in a vacuum, completely disconnected from the real world our app operated in.

That week changed everything. I rewrote our entire product roadmap based on what I learned. The results? Our delivery partner satisfaction scores shot up, and our order completion rates improved significantly.

Since then, I've made it a point to spend one day every month doing deliveries. It keeps me grounded, provides constant insights, and reminds me who we're really building for.

When I started managing other PMs, I knew I had to institutionalize this practice. Now, it's mandatory for everyone on my team to do a delivery day once a month. No exceptions.

At first, there was resistance. "We have data for this," they'd argue. "I can't waste a whole day delivering food!" But after their first experience, they got it. Now, our team meetings are buzzing with insights from the field.

Here's why I believe every product manager should regularly step into their users' shoes:

1. Data doesn't tell the whole story: Numbers can show you what's happening, but not why. Real interactions reveal the context behind the data.
2. Empathy drives innovation: When you experience user pain points firsthand, you're more motivated to solve them creatively.
3. It challenges assumptions: Nothing humbles you faster than realizing your "brilliant" feature is actually a pain to use in the real world.
4. It builds credibility: When you can say "I've done this myself," your team and stakeholders listen differently.
5. It's a reminder of impact: In the daily grind of KPIs and metrics, it's easy to forget that we're affecting real people's lives. This practice keeps that front and center.

Some practical tips if you want to try this:
- Don't just observe. Actually do the job.
- Engage in conversations. Users (and front-line workers) are usually eager to share their experiences if you show genuine interest.
- Look for workarounds and hacks. These are gold mines for product insights.
- Pay attention to the environment and context in which your product is used.
- Reflect on the experience immediately after. What surprised you? What frustrated you?

To my fellow PMs out there: when was the last time you truly stepped into your users' shoes? If it's been a while, I challenge you to give it a try. You might just find your next big product breakthrough while waiting to pick up someone’s 1 am order from Empire :)

P.S. Took a photo while waiting for my order, would probably have been fired long back had it not been for this evening!

Why I make my PM team deliver food orders - no exceptions

Why does your post sounds like some made up bullshit Gyaan I see on LinkedIn everyday.

Founder

Software Engineer

I mostly worked on analytics, AB testing, recommendation systems, bit of NLP, deep learning but most of the time I have implemented tree based models as part of the work

What kind of DS work do you do?

Try to avoid asking questions which can doxx me on LinkedIn (that's where I post a little)

See if you can focus on asking questions around principles & not masala stories

Problem with masala stories is that you'll learn the wrong things from my narratives

This will be fun I think

AMA - 6 years in PM + 5 years Analytics

Any hot takes on popular products analytics software 👀?

Guys I recently started my job as a product manager in a company that works primarily in the Shopify app store, It's my first product management job and I have no clear guidance on how to work with Mixpanel, there was no KT given neither there is someone higher than me who can guide me. The dashboard is already set up by the previous product manager. Please give some suggestions.

How to use Mixpanel like a pro?

I'm always doubtful, even after doing rigorous customer validation and analyzing user data. Happy to learn from folks here.

PMs, how do you ensure you are solving the right problem?

I’m currently working at a B2B SaaS company as a PM. I have a great interest in analytics but not getting enough exposure here and my role has just got so redundant and more like project manager. 
It’s been really difficult in the last couple of months as growth seem to have stopped and I am really scared about my career. 

Experience - 1 Year
Current Comp - ~17LPA fixed with some Esops 

Should I consider switching to analytics ( I am confident about my skills which will get me something in analytics ) given my current situation or try to get another good role in PM to which the market has been really cruel lately. 

Need some advice!!

Warning long post- A good take on analytics tool

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