INDEPENDENT UX STUDY, 2025
Exploring scenario modelling to help users map actions to financial impact
Exploring scenario modelling to help users map actions to financial impact
Simplifying ESOP Management for Employees, Part 2



Picking up from earlier
Picking up from earlier
Part 1 addressed gaps in user understanding of ESOP timelines. This case study builds on it to explore forecasting solutions.
Problem recap: Users struggle to extract actionable insights from ESOP tools
Problem recap: Users struggle to extract actionable insights from ESOP tools
There’s a gap between how data is presented and the takeaways users need to plan their ESOPs.


Tools show isolated statistics like a report


Users can’t compare figures or analyze decisions


Users are left to manually interpret & contextualize data

Tools show isolated statistics like a report

Users can’t compare figures or analyze decisions

Users are left to manually interpret & contextualize data
People also said they find it hard to understand possible outcomes when making decisions
People also said they find it hard to understand possible outcomes when making decisions


Here’s where I could sense their frustration:
I keep using multiple spreadsheets to figure out which approach works best for me
Users are manually managing complex calculations to compare different ESOP strategies and scenarios.
The taxes on my ESOP confuse me, and I’m worried I might mess something up and lose money
Exercising options triggers tax liabilities and tax treatments can be difficult to understand.
Employees have trouble estimating the impact of different decisions, and are scared of making mistakes.
Are current products doing anything to make this experience easier?
Platforms provide forecast tools. But they don’t address the real-world complexity of ESOPs
Platforms provide forecast tools. But they don’t address the real-world complexity of ESOPs


Present tools answer “How much could I make?” but not “What would happen if I acted on it?”
Present tools answer “How much could I make?” but not “What would happen if I acted on it?”
Platforms reduce employee tools to simple valuation sliders, giving surface-level visibility but no real-world complexity.
Platforms reduce employee tools to simple valuation sliders, giving surface-level visibility but no real-world complexity.


Most platforms only provide single-variable calculators, while equity outcomes depend on multiple interrelated factors
Most platforms only provide single-variable calculators, while equity outcomes depend on multiple interrelated factors
Users don’t make decisions in silos. Changing 1 factor (e.g., timing of exercise) directly alters others (such as tax treatment, etc.).
Users don’t make decisions in silos. Changing 1 factor (e.g., timing of exercise) directly alters others (such as tax treatment, etc.).


Scenario modeling features are prioritized for companies but are considered simple ‘add-ons’ in the employee view
Scenario modeling features are prioritized for companies but are considered simple ‘add-ons’ in the employee view
Employee-facing tools are treated as extras for engagement rather than a core feature (as business are SAAS customers).
Employee-facing tools are treated as extras for engagement rather than a core feature (as business are SAAS customers).
My Realization: Employees lack decision-support tools that help them evaluate hypothetical actions and strategies
My Realization: Employees lack decision-support tools that help them evaluate hypothetical actions and strategies
The gap? Users want to compare trade-offs of different decisions before acting on them
The gap? Users want to compare trade-offs of different decisions before acting on them
If I vest now, how much do I pay to exercise, versus later? What are my tax liabilities if I sell today, versus next year?
If I vest now, how much do I pay to exercise, versus later? What are my tax liabilities if I sell today, versus next year?
How can we enable employees to explore the impacts of possible scenarios?
Idea: Integrated action-to-impact modelling tool
By unifying scattered forecast tools into one view, the need for multiple calculators and analyses can be eliminated
By unifying scattered forecast tools into one view, the need for multiple calculators and analyses can be eliminated
Approach 1: Multi-view workspace for scenario comparisons
Uses a spreadsheet pattern so that users can contrast possibilities
Input variables
Output Figures


PROS
Comparative decision-making across multiple scenarios
Comparative decision-making across multiple scenarios
CONS
Can feel data-dense, number-heavy and complex
Can feel data-dense, number-heavy and complex
Approach 2: Forecasting layer within vesting chart
Can forecasting be incorporated into existing tools visualizing ownership?
Vesting Schedule
Exercise Record
Key Events
What if I exercise
2025
2026
2027
2028
2029
100K
75K
50K
25K
0
Cliff ends
Buyback
100% V...
Expiry
Merger

Today
Blackout periods (no exercise/sale)
December 20, 2026
35% Options Vested
Vested: 2,400 Units
Unvested: 4,457 Units
If you exercise today:
Shareholding Value
₹ 80,50,000
Cost of Exercise
₹ 31,50,000
Pre-Tax Gains
₹ 49,00,000



PROS
Provides contextual insights when viewed with charts
Provides contextual insights when viewed with charts
CONS
Too much going here- visually and cognitively
Too much going here- visually and cognitively
Limits forecasting as user cannot play with values here
Limits forecasting as user cannot play with values here
Approach 3: ‘Build your own dashboard’ configuration
Allowing users to customize the output figures they want to see
User can choose from a list of planned output figures


PROS
Users can focus on only what is relevant to them
Users can focus on only what is relevant to them
Supports extra KPIs without overloading default view
Supports extra KPIs without overloading default view
CONS
Requires initial set-up effort by user
Which approach aligns best with the user’s needs?
I reconnected with my interviewees, to get their input on the iterations
I reconnected with my interviewees, to get their input on the iterations



These were two valuable comments that stood out:
When it asked me ‘What if I exercise today?’, it felt easier to follow… I didn’t really know where to start otherwise
When it asked me ‘What if I exercise today?’, it felt easier to follow… I didn’t really know where to start otherwise
Inexperienced users felt more comfortable when forecasting was introduced as a first-person question.
Inexperienced users felt more comfortable when forecasting was introduced as a first-person question.
Experienced users valued customization + comparison features; newer users found navigating them slightly complex
Experienced users valued customization + comparison features; newer users found navigating them slightly complex
While these features gave experienced users more control and flexibility, the complexity was also intimidating for newer users
While these features gave experienced users more control and flexibility, the complexity was also intimidating for newer users
Aha Moment: New users are more comfortable starting with open-ended questions, than directly engaging with tools
Aha Moment: New users are more comfortable starting with open-ended questions, than directly engaging with tools
How do we bridge the gap between experienced and new employees?
Final Approach: Integrating an AI-powered question bar
Instead of adjusting inputs manually, users can ask questions. The AI updates and configures the dashboard on it’s own
Instead of adjusting inputs manually, users can ask questions. The AI updates and configures the dashboard on it’s own


Users can interact with the dashboard in natural language, reducing the barrier of entry to interact with the tool
Users can interact with the dashboard in natural language, reducing the barrier of entry to interact with the tool
Removes the need to first learn which variables to adjust or where to start; the question bar provides a clear, intuitive entry point.
Removes the need to first learn which variables to adjust or where to start; the question bar provides a clear, intuitive entry point.
This solution still maintains usability for users needing advanced functions
Advanced users who know what they want to simulate will prefer interacting directly with controls.
Advanced users who know what they want to simulate will prefer interacting directly with controls.
Manual input fields are disabled when the AI support is active


Users should not confuse AI calculations with values they edited themselves, when AI support is enabled
The dashboard is accessed only through the AI chat, clearly separating AI-driven and manual modes.
Guardrails are critical with AI support: Computation must not be interpreted as advice


Without guardrails, the product risks being seen as giving regulated financial advice, which has compliance risks.
Through this, employees can be enabled to analyze without external guidance
Through this, employees can be enabled to analyze without external guidance
Users can map their actions to financial impact through this solution, to analyze hypothetical ESOP decisions and trade-offs.
Users can now independently explore decision-related ‘what if’ questions like:
How much will it cost if I exercise my shares in June 2026?
What will my gains be if I sell 50% of my shares at today’s valuation?
If I delay exercising by a year, how does it change my costs and taxes?
While largely qualitative, the impact can also be reflected in KPIs like:
Decrease in HR support tickets
Fewer tickets means users are resolving doubts independently, with less dependency on HR.
Increase in CSAT scores
Tracking improvement in customer satisfaction scores through in-platform surveys after key actions.
To wrap up, here are a few reflections
I iterated on solutions without tech constraints, to focus on user needs and to imagine the ideal experience
This let me design freely, while knowing many details may change later based on technical feasibility.
A key realization was seeing how the same feature can overwhelm one user and empower another
It was important to return to users after iterating, to see which directions resonated with them and which did not.
Exploring scenario modelling to help users map actions to financial impact
INDEPENDENT UX STUDY, 2025
Simplifying ESOP Management for Employees, Part 2



Picking up from earlier
Picking up from earlier
Part 1 addressed gaps in user understanding of ESOP timelines. This case study builds on it to explore forecasting solutions.
Problem recap: Users struggle to extract actionable insights from ESOP tools
Problem recap: Users struggle to extract actionable insights from ESOP tools
There’s a gap between how data is presented and the takeaways users need to plan their ESOPs.


Tools show isolated statistics like a report


Users can’t compare figures or analyze decisions


Users are left to manually see & contextualize data


Tools show isolated statistics like a report


Users can’t compare figures or analyze decisions


Users are left to manually interpret and contextualize data
People said they find it hard to understand possible outcomes when making decisions
People also said they find it hard to understand possible outcomes when making decisions
People also said they find it hard to understand possible outcomes when making decisions



Here’s where I could sense their frustration:
I keep using multiple spreadsheets to figure out which approach works best for me
I keep using multiple spreadsheets to figure out which approach works best for me
Users are are manually managing complex calculations to compare different ESOP strategies and scenarios.
The taxes on my ESOP confuse me, and I’m worried I might mess something up and lose money
The taxes on my ESOP confuse me, and I’m worried I might mess something up and lose money
Exercising options triggers tax liabilities and tax treatments can be difficult to understand.
Employees have trouble estimating the impact of different decisions, and are scared of making mistakes.
Employees have trouble estimating the impact of different decisions, and are scared of making mistakes.
Are current products doing anything to make this experience easier?
Are current products doing anything to make this experience easier?
Platforms provide forecast tools. But they don’t address the real-world complexity of ESOPs
Platforms provide forecast tools. But they don’t address the real-world complexity of ESOPs



Present tools answer “How much could I make?” but not “What would happen if I acted on it?”
Present tools answer “How much could I make?” but not “What would happen if I acted on it?”
Platforms reduce employee tools to simple valuation sliders, giving surface-level visibility but no real-world complexity.



Most platforms only provide single-variable calculators, while equity outcomes depend on multiple interrelated factors
Most platforms only provide single-variable calculators, while equity outcomes depend on multiple interrelated factors
Users don’t make decisions in silos. Changing 1 factor (e.g., timing of exercise) directly alters others (such as tax treatment, etc.).



Scenario modeling features are prioritized for companies but are considered simple ‘add-ons’ in the employee view
Scenario modeling features are prioritized for companies but are considered simple ‘add-ons’ in the employee view
Employee-facing tools are treated as extras for engagement rather than a core feature (as business are SAAS customers).
My Realization: Employees lack decision-support tools that help them evaluate hypothetical actions and strategies
My Realization: Employees lack decision-support tools that help them evaluate hypothetical actions and strategies
The gap? Users want to compare trade-offs of different decisions before acting on them
The gap? Users want to compare trade-offs of different decisions before acting on them
If I vest now, how much do I pay to exercise, versus later? What are my tax liabilities if I sell today, versus next year?
How can we enable employees to explore the impacts of possible scenarios?
How can we enable employees to explore the impacts of possible scenarios?
Idea: Integrated action-to-impact modelling tool
Idea: Integrated action-to-impact modelling tool
By unifying scattered forecast tools into one view, the need for multiple calculators and analyses can be eliminated
By unifying scattered forecast tools into one view, the need for multiple calculators and analyses can be eliminated
Approach 1: Multi-view workspace for scenario comparisons
Approach 1: Multi-view workspace for scenario comparisons
Uses a spreadsheet pattern so that users can contrast possibilities
Uses a spreadsheet pattern so that users can contrast possibilities



PROS
Comparative decision-making across multiple scenarios
CONS
Can feel data-dense, number-heavy and complex
PROS
Comparative decision-making across multiple scenarios
CONS
Can feel data-dense, number-heavy and complex
Approach 2: Forecasting layer within vesting chart
Approach 2: Forecasting layer within vesting chart
Can forecasting be incorporated into existing tools visualizing ownership?
Can forecasting be incorporated into existing tools visualizing ownership?



PROS
Provides contextual insights when viewed with charts
CONS
Too much going here- visually and cognitively
Limits forecasting as user cannot play with values here
PROS
Provides contextual insights when viewed with charts
CONS
Too much going here- visually and cognitively
Limits forecasting as user cannot play with values here
Approach 3: ‘Build your own dashboard’ configuration
Approach 3: ‘Build your own dashboard’ configuration
Allowing users to customize the output figures they want to see
Allowing users to customize the output figures they want to see



PROS
Users can focus on only what is relevant to them
Supports extra KPIs without overloading default view
CONS
Requires initial set-up effort by user
PROS
Users can focus on only what is relevant to them
Supports extra KPIs without overloading default view
CONS
Requires initial set-up effort by user
Which approach aligns best with the user’s needs?
Which approach aligns best with the user’s needs?
I reconnected with my interviewees, to get their input on the iterations
I reconnected with my interviewees, to get their input on the iterations



These were two valuable comments that stood out:
When it asked me ‘What if I exercise today?’, it felt easier to follow… else I didn’t really know where to start
When it asked me ‘What if I exercise today?’, it felt easier to follow… else I didn’t really know where to start
Inexperienced users felt more comfortable when forecasting was introduced as a first-person question.
Experienced users valued customization + comparison features; newer users found navigating them slightly complex
Experienced users valued customization + comparison features; newer users found navigating them slightly complex
While these features gave experienced users more control and flexibility, the complexity was also intimidating for newer users
Aha Moment: New users are more comfortable starting with open-ended questions, than directly engaging with tools
Aha Moment: New users are more comfortable starting with open-ended questions, than directly engaging with tools
How do we bridge the gap between experienced and new employees?
How do we bridge the gap between experienced and new employees?
Final Approach: Integrating an AI-powered question bar
Final Approach: Integrating an AI-powered question bar
Instead of adjusting inputs manually, users can ask questions. The AI updates and configures the dashboard on it’s own
Instead of adjusting inputs manually, users can ask questions. The AI updates and configures the dashboard on it’s own



Users can interact with the dashboard in natural language, reducing the barrier of entry to interact with the tool
Users can interact with the dashboard in natural language, reducing the barrier of entry to interact with the tool
Removes the need to first learn which variables to adjust or where to start; the question bar provides a clear, intuitive entry point.
This solution still maintains usability for users needing advanced functions
This solution still maintains usability for users needing advanced functions
Advanced users who know what they want to simulate will prefer interacting directly with controls.
Manual input fields are disabled when the AI support is active
Manual input fields are disabled when the AI support is active



Users should not confuse AI calculations with values they edited themselves, when AI support is enabled
The dashboard is accessed only through the AI chat, clearly separating AI-driven and manual modes.
Users should not confuse AI calculations with values they edited themselves, when AI support is enabled
The dashboard is accessed only through the AI chat, clearly separating AI-driven and manual modes.
Guardrails are critical with AI support: Computation must not be interpreted as advice
Guardrails are critical with AI support: Computation must not be interpreted as advice



Without guardrails, the product risks being seen as giving regulated financial advice, which has compliance risks.
Without guardrails, the product risks being seen as giving regulated financial advice, which has compliance risks.
Employees are enabled to analyze without external guidance
Employees are enabled to analyze without external guidance
Users can map their actions to financial impact through this solution, to analyze hypothetical ESOP decisions and trade-offs.
Users can now independently explore decision-related ‘what if’ questions like:
Users can now independently explore decision-related ‘what if’ questions like:
How much will it cost if I exercise my shares in June 2026?
How much will it cost if I exercise my shares in June 2026?
What will my gains be if I sell 50% of my shares at today’s valuation?
What will my gains be if I sell 50% of my shares at today’s valuation?
If I delay exercising by a year, how does it change my costs and taxes?
If I delay exercising by a year, how does it change my costs and taxes?
While largely qualitative, the impact can also be reflected in KPIs like:
While largely qualitative, the impact can also be reflected in KPIs like:
Decrease in HR support tickets
Decrease in HR support tickets
Fewer tickets means users are resolving doubts independently, with less dependency on HR.
Increase in CSAT scores
Increase in CSAT scores
Tracking improvement in customer satisfaction scores through in-platform surveys after key actions.
To wrap up, here are a few reflections
To wrap up, here are a few reflections
I iterated on solutions without tech constraints, to focus on user needs & imagine the ideal experience
I iterated on solutions without tech constraints, to focus on user needs & imagine the ideal experience
This let me design freely, while knowing many details may change later based on technical feasibility.
This let me design freely, while knowing many details may change later based on technical feasibility.
This let me design freely, while knowing many details may change later based on technical feasibility.
A key realization was seeing how the same feature can overwhelm one user and empower another
A key realization was seeing how the same feature can overwhelm one user and empower another
It was important to return to users after iterating, to see which directions resonated with them and which did not.
It was important to return to users after iterating, to see which directions resonated with them and which did not.
It was important to return to users after iterating, to see which directions resonated with them and which did not.