Building the Decarbonization Puzzle: One Lever at a Time

A Product Manager's journey to building Hotspot Analysis & Decarbonization tool: from prototype to technical documentation and why some features are worth the wait!

POV: You’re sitting in a meeting room, staring at a dashboard showing thousands of emission data points across a multinational company’s value chain.

Someone asks, “So... where do we even start?”

And that’s when it hits you, companies don’t just need data; they need a treasure map with a giant red X marking the spot where their emissions are partying the hardest.

Hi! My name is Ekta, and in today’s blog I share my journey brainstorming Hotspot Analysis & Decarbonization module for our ESG B2B SaaS solution.

Here’s the thing about ESG SaaS products: they’re like building a spaceship while it’s already in orbit. You’re solving complex problems for diverse industries, each with their own emission personalities (yes, cement companies and tech firms have very different carbon footprints, shocking? I know).

And when you decide to build something that not only identifies emission hotspots but also suggests practical decarbonization pathways? Well, buckle up, because that’s where the real fun begins.

From “Wouldn’t It Be Cool If...” to “Wait, How Do We Actually Build This?”

The ideation phase started innocently enough.

We were in the middle of competitor analysis & peer benchmarking when we discovered that one of the competitor were also providing decarbonization solution. After further analysis I realized that they were just providing the decarbonization levers library but it was a vast one!

Our manager thought how about we build one? But with a twist!

This decarbonization lever will be an aftermath of Hotspot Analysis. And that’s when the whole hotspot idea came in!

So we brainstormed a module that would:

• Analyze specific business units, facilities, or plants to identify the highest emission contributors

• Break down these hotspots by Scope 1, 2, and 3 emissions (because nothing says “fun” like Scope 3 complexity)

• Suggest decarbonization levers tailored to each industry (at least 77 industries because SASB lists material topics for 77, right?)

• Provide short, medium, and long-term pathways that are actually practical

• Track progress through an analytics dashboard as companies implement these solutions

Sounds straightforward? Well, It was not straightforward.

The prototype phase was where reality hit. I found myself creating technical documentation that looked less like a product spec and more like a choose-your-own-adventure novel.

“If the company is in manufacturing, turn to page 47 for renewable energy integration. If they’re in logistics, flip to page 89 for fleet electrification.”

The need for this solution was clear: companies are under pressure from regulators, investors, and increasingly, their own customers to not just report on emissions but to reduce them.

But here’s the tricky part: decarbonization isn’t one-size-fits-all. A steel manufacturer can’t exactly swap their blast furnace for solar panels and call it a day.

If you’re wondering how we even capture this emission data in the first place, check out my blog on building the Carbon Calculator: Building a Carbon Emissions Calculator: When Your Product Name Becomes Your Destiny

Challenges

Challenge #1: Building a Library of Decarbonization Levers

This was the Mount Everest of our module.

Creating a comprehensive library that covers multiple industries from manufacturing to logistics, from energy to agriculture meant researching, validating, and documenting hundreds of potential interventions.

Each industry has unique processes, technologies, and constraints. What works for reducing emissions in a data center won’t help a cement plant. We needed domain expertise, industry research, and a lot of coffee.

Challenge #2: Data Granularity vs. Practicality

Here’s the paradox: companies want detailed, facility-level insights, but many don’t have facility-level data. They have estimates, proxies, and “we think it’s somewhere around this number.”

Building a hotspot analysis tool that’s sophisticated enough to be useful but forgiving enough to work with real-world data quality? That’s like asking someone to paint a masterpiece with crayons.

Well, its possible, but requires creativity and realistic expectations.

Challenge #3: The “But Our Business Is Special” Syndrome

Every discovery or demo call meeting revealed a new edge case.

“But what if we’re a hybrid manufacturing facility that also does logistics and has three different energy sources?” Valid question, nightmare scenario.

Creating a flexible framework that could handle these complex, overlapping business models without turning into a bloated monster meant countless iterations and tough prioritization calls.

Challenge #4: The ROI Conundrum

CFOs don’t wake up excited about decarbonization they wake up excited about ROI.

Each decarbonization lever needed to come with cost estimates, payback periods, and business case scenarios.

Gathering this financial data across industries and keeping it updated? That’s not just a product challenge; that’s a content management nightmare with spreadsheets having their own spreadsheets.

Speaking of supplier data complexity, my blog on the Supplier Assessment Module dives into similar challenges with third-party data collection it’s messy out there, folks: Chasing Ghosts in the Supply Chain: What Happens When You Ask Suppliers for Emissions Data

The Learnings (Or: Things I Wish Someone Had Told Me Earlier)

Learning #1: Not Everything Belongs in MVP

This was the hard truth that took three failed sprint plannings to accept.

The Hotspot Analysis & Decarbonization Module is undeniably cool and valuable, but it’s an advanced tool. Companies need to nail basic ESG reporting and carbon accounting before they’re ready for sophisticated decarbonization planning.

Trying to cram this into our MVP would have delayed our entire product launch. Sometimes, the bravest product decision is saying “later” to a great feature.

Learning #2: Prototype Early, Document Obsessively

The technical documentation I created became our north star.

It forced me to think through every edge case, every data dependency, and every user journey before writing a single line of code.

When developers asked, “What happens if a facility has no Scope 2 emissions?” I could point to page 23. That document saved us months of confusion and rework.

Learning #3: Tracking Progress Is as Important as Setting Targets

Companies don’t just want to know what to do they want to track whether it’s working.

Building the analytics dashboard for monitoring decarbonization lever progress wasn’t an afterthought; it became a core feature. Without it, our tool would be advice without accountability.

The tracking piece is what transforms a recommendation engine into an actual change management platform.

Learning #4: Complexity Is Your Enemy, Simplicity Is Your Superpower

Every time I was tempted to add another filter, another breakdown, another level of analysis, I had to ask: “Will this help users make better decisions, or will it paralyze them with options?”

The best product managers know when to say no.

I learned to ruthlessly prioritize the 20% of features that would deliver 80% of the value. Everything else? Parking lot for Phase 2.

What’s Next?

The team is currently heads-down building this module, and I’m equal parts excited and terrified to see it in the wild.

Will companies use it? Will it actually help reduce emissions? Will someone discover a bug I missed in the technical specs and my Slack notifications will explode? (Probably yes to all three.)

But here’s what I know for sure: building ESG tools isn’t just about technology or data or even product management best practices.

It’s about creating solutions that help companies navigate one of the most important challenges of our time.

And if I can contribute even a small piece to that puzzle through code, through documentation, through sharing these learnings then the late nights and complicated Excel models are worth it.

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P.S. If you found value in this series, here’s how you can help:

1. Share it with other PMs, sustainability professionals, or anyone building products in complex spaces

2. Connect with me on LinkedIn, let’s continue the conversation

3. Subscribe if you haven’t already, I’ll keep sharing as I keep learning

4. Reach out if you’re hiring ESG PMs or want to discuss anything from the series

P.P.S. This series covered four modules, but there are so many more ESG product challenges to explore: biodiversity tracking, social impact measurement, circular economy tools, AI ethics in ESG. If there’s a topic you want me to dig into, drop a comment. I’m already planning the next series.

P.P.P.S. Subscribe to this blog for more Product Learning Series posts where I share unfiltered experiences from the B2B SaaS world.

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About Me

I’m Ekta.

The marketer who thinks like a product manager, and ships like one too.

Most product marketers talk to the market. I’ve spent years building for it, from 0 to 1, and that changes how you think about positioning, messaging, and what “launch-ready” actually means.

My background spans across GTM strategy, ICPs, and buyer persona definition, positioning, and messaging, competitive intelligence, VOC loops, sales enablement, and even product development, across industries as different as RegTech and gaming. If there’s a market to understand, a story to tell, or a product that needs a message that actually lands, that’s where I do my best work.

aIn this blog, I share my experience in developing a GTM strategy, the craft, and the hard-won lessons from taking things to market in the real world.

Three things I bring to every challenge:

→ Sharp — one problem at a time, solved completely

→ Meticulous — details aren’t details, they’re the whole thing

→ Adaptable — RegTech. Gaming. Climate-tech. Name the industry. I will learn everything about it.

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