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Shipping a product within 2 weeks | In-app customer support
Vector
An AI-copilot that automates in-app customer support, helping users complete workflows instantly, reducing tickets.
Industry
B2B SaaS
Customer support
Productivity
Project Duration
2.5 weeks
Team
Arman Arya (PM)
Brennen Ho (Developer)
Vishnu Kadaba (Developer)
Tools
Figma
Protopie
Notion
CONTEXT
Starting as founders
Before building anything, my team and I spend time collecting frustrations from our own lives.
Problem exploration
We mapped industries we understood and talked to people to see what problems were actually worth solving.
Our guiding questions
Is this a problem space we are equipped to create within?
Does solving this problem make sense within 8 weeks (incubator timeline)?
We had a shared, recurring story
A lot of our early pain points centered around bottlenecks.
PROBLEM (END-USERS)
Users abandon software the moment friction appears
Users get stuck. People trying to complete workflows inside SaaS tools hit moments of confusion.
Work grinds to a halt
When users can’t move forward, productivity drops and simple tasks take far longer than they should.
Support becomes the bottleneck
Instead of finding answers in-product, users default to opening tickets, flooding support teams with questions.
PROBLEM (CUSTOMERS)
Businesses pay for the tickets, confusion, and churn
When users get stuck, the impact doesn't end with them.
$75B
THE OPPORTUNITY
Why is support separate from the product?
We wondered what would happen if guidance didn’t live in docs, tickets, or threads but inside the UI itself. Users aren’t technical, so we can’t rely on exact specification on the issue.
However, we can rely on technological advances to alleviate the problem.
SOLUTION
Vector is an AI co-pilot that completes tasks
When users get stuck, they click Vector's entry point and describe what they want to do.
Vector offers three layers of help
Tell me: a chat-like explanation (“Click here, then here.”)
Show me: It hovers over elements in your UI and guides you step-by-step.
Do it for me: it executes the workflow automatically, taking users from the beginning to the end of their workflow.
REAL IMPACT
Our first partner: Halo Medical Solutions
Halo Medical Solutions helps practices automate intake, documentations, and bill with AI.
The current system
Halo’s software required users to remember multi-step templates workflows and forms.
The team had to hop on call, answer questions, and guide doctors through all the processes.
What changed with Vector
Once embedded, Vector helped doctors complete workflows all without hand-holding or confusion.
Halo saw
drop in support tickets.
80%
VALUE PROP
Users expect immediacy
If users can't figure out your product, they churn. Vector makes sure they don't.
When people can truly experience what you’ve built, that’s when it can change the world.
vector turns confusion into clarity.
Agentic AI's recent advances
Only recently did browser automation and large-model reasoning become reliable enough to run real workflows.
SaaS landscape
SaaS teams are moving faster, hiring smaller support teams, and relying more on retention.
MARKET
Customer success and onboarding is a growing market
Success and onboarding is a growing market that represents over $300B across 17,000+ SaaS companies.
We generated
in contracted ARR
$7.8k
PROCESS
Designing for behavior
Vector is a system that has to feel trustworthy while taking action on behalf of a human.
Control handoff clarity
No rapid jumps, no unexplained clicks, and always pause before any pivotal actions take place.
RESULTS
Shipped a product within 2 weeks; won Audience choice ($500)
A few key takeaways
Start broad, commit narrow
Exploring many directions early helped us land on the right one. We spent 6 weeks exploring another idea: folio.
Vector was more than just UI. I was crafting a system users could trust to act on their behalf.
Agentic design is behavior design
Designing around the moment of need
The most valuable features are the ones that appear when users need them. Prioritizing context over clarity.
Focusing on beachhead users meant making deliberate trade-offs. We designed for clarity over optionality.
Be opinionated
ADDITIONAL EXPLORATIONS
Plenty more lives in the design archive
Reach out if you want to see earlier explorations, alternate insights, or more of the thinking.
X
2025 @ Maya Parthasarathy