Trying to capture a $10B enterprise market

How I navigated the complexities of building an enterprise tool for startups

In late 2024, I joined a 7-member startup to design an MVP for a financial forecasting tool for climate-focused companies. The primary goal was to transform complex financial modeling into an accessible, user-friendly platform.

Role

Ideation

Research

Design

Stakeholder presentation

Timeline

3 months (2024)

8

8

Enterprise companies signed up for beta testing, surpassing initial goal of 5

Enterprise companies signed up for beta testing, surpassing initial goal of 5

35%

35%

Reduction in time on tasks from ~2 hours to ~1 hour 20 minutes in preliminary testing.

Reduction in time on tasks from ~2 hours to ~1 hour 20 minutes in preliminary testing.

90%

90%

Engineering acceptance rate, resulting in a faster development cycle

Engineering acceptance rate, resulting in a faster development cycle

The Problem

Financial planners struggle with dynamic planning using Excel

Imagine managing complex financial planning with outdated Excel sheets and scattered tools—juggling numbers, wrestling with clunky visuals, and fearing errors that could derail critical decisions.

As one analyst confessed during market research: "I spend about 15 hours a week just validating Excel files instead of actually working on stuff I need to." This wasn't just inefficiency—it was brilliant minds fighting spreadsheets instead of fighting climate change.

An example of the economic analyses that project managers were doing over Excel

These inefficiencies led to problems within the workflows.

Manual copying leading to inaccuracy

Manual copying and rekeying introduce inevitable errors that undermine forecasts.

Poor scenario analysis tools for forecasting

Duplicated spreadsheets create change tracking nightmares

Inefficient collaboration and versioning tools

"FinalV5.xlsx" anyone? One file that turns into competing copies and lost feedback in emails

Excel limitations single-handedly driving up Xanax purchases for program managers

My contributions
to the final designs

Over 3 months, I set out to bridge the gap between Excel's familiarity and the advanced capabilities modern enterprises need.

Contribution #1

Modular dashboard to address ever-changing parameters

I designed a modular dashboard that bridged changing requirements such as government policies, free markets and capital changes turning complex data into clear, interactive visuals, allowing project managers to present financial models without losing their audience.

Contribution #2

An efficient and simple sandbox for financial analysis, allowing quick edits and exports

Teams could now explore scenarios with ease. Want to see the impact of a 20% drop in material costs? Click. Send alternate models to investors and stakeholders? Click, click. No more duplicated spreadsheets.

Contribution #3

Versioning and collaboration tools to end email chaos

Inspired by tools like Atlassian, I prioritized page-level sharing and robust version control, ending the chaos of endless email chains and conflicting file versions for stakeholders and investors.

So how did
we get there?

I believe every project has something for me to learn and no design process is set in stone! This project in particular, cut both ways and required me to fail often and learn quickly.

The Process

2 week design sprints and a talented team to the rescue

Startups move fast—tight timelines, limited resources. With just three months for an MVP, the project thrived because the team deeply invested in the product and adapted under pressure.

Working alongside market experts, I had freedom to ideate boldly. Technical challenges weren't roadblocks—every idea was worth exploring.

Secondary research strengthened the foundation

Previously conducted user interviews laid the groundwork for understanding our target users. To maximize a limited timeframe, I conducted stakeholder meetings, tapped into Discord communities and financial contacts for secondary insights, and analyzed existing primary research for deeper user understanding.

The early strategy meeting involved understanding the users, stakeholders and the components that they were used to working with to help define product functionality

I'm in! Now.. what the hell
even is a *insert financial jargon here*?

Designing enterprise solutions with a non-financial background

Without financial expertise, I rapidly learned concepts like this to build an intuitive platform. This meant countless Google searches and extensive reading—but that learning curve became an essential part of the journey!

"You'll be drinking from the fire hose!"

- The CEO as I started researching the foundational knowledge required for the project

- The CEO as I started researching the foundational knowledge required for the project

I created an ecosystem of relevant components of a economic analysis that I could refer while building out the information architecture and user work flows

Aligning product strategy to prioritize features and product roadmaps

Identifying table stakes and differentiators

With the clock ticking, we needed to be strategic about what we built first. I led a competitive analysis to identify what features were table stakes versus true differentiators. This wasn't just about checking boxes - it was about finding gaps where we could add unique value.

I worked with the team members, closely aligning with the PM to help build a document detailing the product roadmap

Some pushback to embrace the startup mindset

During feature ideation sprints, I initially held back, self-editing ideas to fit constraints—a habit from my technical background. But the team encouraged open exploration, prioritizing rapid creation, testing, and iteration. This shift aligned perfectly with the startup’s ethos and pushed me to embrace a more experimental approach.

The product analysis helped us refine the design by building on current feature iterations found in competitors while saving precious time ideating

Learning

This experience taught me to check my biases and adapt to different working styles. While I was used to self-editing ideas to meet strict timelines, this startup emphasized freely exploring ideas to find what resonated. It reinforced that collaboration varies across teams and that changes in design processes involve not just artifacts but also mindset.

This experience taught me to check my biases and adapt to different working styles. While I was used to self-editing ideas to meet strict timelines, this startup emphasized freely exploring ideas to find what resonated. It reinforced that collaboration varies across teams and that changes in design processes involve not just artifacts but also mindset.

Putting all the
pieces together

Iterating well on the way to the finish line

During the design phase, I began iterating on the features the team had finalized. Using the established information architecture and visual hierarchy, I rapidly created and refined wireframes to achieve the visual fidelity needed for developers to begin implementation and for user testing to validate our direction.

Something I'd do differently…

Looking back, I wish I had pushed for a comprehensive design system from the start. In the rush to launch, we settled for basic style guides, missing the chance to build something more scalable. But that’s the reality of startup life—you learn, adapt, and sometimes, help shape an industry along the way.

Looking back, I wish I had pushed for a comprehensive design system from the start. In the rush to launch, we settled for basic style guides, missing the chance to build something more scalable. But that’s the reality of startup life—you learn, adapt, and sometimes, help shape an industry along the way.

Following the F-Pattern due to primarily western user base, I created simple visual guidelines to inform wireframes

An example of the iteration process for data visualization dashboards across sprints

The Outcomes

Building efficient tools where just the 'default' doesn't work

As my contract ended, I checked in with the team. They were already documenting improvements for future iterations while developers built on our foundational designs. An awesome experience with a promising team.

8

8

Enterprise companies signed up for beta testing, surpassing initial goal of 5

Enterprise companies signed up for beta testing, surpassing initial goal of 5

35%

35%

Reduction in time on tasks from ~2 hours to ~1 hour 20 minutes in preliminary testing.

Reduction in time on tasks from ~2 hours to ~1 hour 20 minutes in preliminary testing.

90%

90%

Engineering acceptance rate, resulting in a faster development cycle

Engineering acceptance rate, resulting in a faster development cycle

Take a peek at how my Featured UX Case Studies, Bite-sized Challenges and Side Quests make me the designer I am, or find out more About Me.

Let's talk Design and everything else.

keyurkadleux@gmail.com

Email Copied

Keyur Kadle · 2025 ·

Take a peek at how my Featured UX Case Studies, Bite-sized Challenges and Side Quests make me the designer I am, or find out more About Me.

Let's talk Design and everything else.

keyurkadleux@gmail.com

Email Copied

Keyur Kadle · 2025 ·

Take a peek at how my Featured UX Case Studies, Bite-sized Challenges and Side Quests make me the designer I am, or find out more About Me.

Let's talk Design and everything else.

keyurkadleux@gmail.com

Email Copied

Keyur Kadle · 2025 ·

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