🚀 shipped industry project

🚀 shipped industry project

🚀 shipped industry project

Build Retailer Trust: Fixing Blind Spots in B2B Order tracking

Build Retailer Trust: Fixing Blind Spots in B2B Order tracking

Build Retailer Trust: Fixing Blind Spots in B2B Order tracking

Build Retailer Trust: Fixing Blind Spots in B2B Order tracking

B2B Saas

B2B Saas

B2B Saas

B2B Saas

Order Tracking

Order Tracking

Order Tracking

Order Tracking

User Research

User Research

User Research

User Research

Usability Testing

Usability Testing

Usability Testing

Usability Testing

Research

Research

Research

Research

Findings

Findings

Findings

Findings

Ideation:
My Approach

Ideation:
My Approach

Ideation:
My Approach

Ideation:
My Approach

Context

Context

At Almach Labs, I was the solo designer responsible for rebuilding StorePlus.AI. I redesigned the broken order tracking flow, leading to 8k+ new orders and a 34% decrease in drop-off rate. I led the full process from user research and problem framing to wireframes, prototypes, and usability testing collaborating closely with engineers and ops managers to ensure the solution was both feasible and impactful.

At Almach Labs, I was the solo designer responsible for rebuilding StorePlus.AI. I redesigned the broken order tracking flow, leading to 8k+ new orders and a 34% decrease in drop-off rate. I led the full process from user research and problem framing to wireframes, prototypes, and usability testing collaborating closely with engineers and ops managers to ensure the solution was both feasible and impactful.

At Almach Labs, I was the solo designer responsible for rebuilding StorePlus.AI. I redesigned the broken order tracking flow, leading to 8k+ new orders and a 34% decrease in drop-off rate. I led the full process from user research and problem framing to wireframes, prototypes, and usability testing collaborating closely with engineers and ops managers to ensure the solution was both feasible and impactful.

Company

Company

Company

Almach Labs

Almach Labs

Almach Labs

Team

Team

Team

Solo Product designer (me)

Solo Product designer (me)

Solo Product designer (me)

1 Product Manager

1 Product Manager

1 Product Manager

3 engineers

3 engineers

3 engineers

Timeline

Timeline

Timeline

10 weeks

10 weeks

10 weeks

ABOUT THE PRODUCT

ABOUT THE PRODUCT

ABOUT THE PRODUCT

StorePlus is a B2B e-commerce platform that connects small retailers with wholesalers.

StorePlus is a B2B e-commerce platform that connects small retailers with wholesalers.

StorePlus is a B2B e-commerce platform that connects small retailers with wholesalers.

It brings everything from inventory tracking, order management, and communication into one simple platform.

It brings everything from inventory tracking, order management, and communication into one simple platform.

It brings everything from inventory tracking, order management, and communication into one simple platform.

Like our stakeholders say,

Like our stakeholders say,

Like our stakeholders say,

Like our stakeholders say,

"With StorePlus, businesses can stay organized, avoid delays, and work together more smoothly"

"With StorePlus, businesses can stay organized, avoid delays, and work together more smoothly"

"With StorePlus, businesses can stay organized, avoid delays, and work together more smoothly"

"With StorePlus, businesses can stay organized, avoid delays, and work together more smoothly"

Summary

Summary

THE PROBLEM

THE PROBLEM

THE PROBLEM

Retailers faced a long and repetitive process whenever they wanted to track orders

Retailers faced a long and repetitive process whenever they wanted to track orders

As we scaled, retailers wanted clear updates, but saw only “Processing” until delivery. Wholesalers wanted a faster way to share status, yet spent hours each week on manual follow-ups. The outcome? Frustration on both sides, more support tickets and higher drop-offs.

As we scaled, retailers wanted clear updates, but saw only “Processing” until delivery. Wholesalers wanted a faster way to share status, yet spent hours each week on manual follow-ups. The outcome? Frustration on both sides, more support tickets and higher drop-offs.

As we scaled, retailers wanted clear updates, but saw only “Processing” until delivery. Wholesalers wanted a faster way to share status, yet spent hours each week on manual follow-ups. The outcome? Frustration on both sides, more support tickets and higher drop-offs.

70%

70%

70%

70%

retailers said they relied on WhatsApp or calls for order updates

retailers said they relied on WhatsApp or calls for order updates

retailers said they relied on WhatsApp or calls for order updates

retailers said they relied on WhatsApp or calls for order updates

5/6

5/6

5/6

5/6

wholesalers spent hours each week on manual follow-ups

wholesalers spent hours each week on manual follow-ups

wholesalers spent hours each week on manual follow-ups

wholesalers spent hours each week on manual follow-ups

WHAT ARE WE TRYING TO SOLVE FOR?

WHAT ARE WE TRYING TO SOLVE FOR?

WHAT ARE WE TRYING TO SOLVE FOR?

It was important to solve for both sides of the experience

It was important to solve for both sides of the experience

User Goal
User Goal
User Goal
User Goal

Retailers wanted a reliable way to track their orders without chasing updates on calls or WhatsApp.

Retailers wanted a reliable way to track their orders without chasing updates on calls or WhatsApp.

Retailers wanted a reliable way to track their orders without chasing updates on calls or WhatsApp.

Retailers wanted a reliable way to track their orders without chasing updates on calls or WhatsApp.

Business Goal
Business Goal
Business Goal
Business Goal

StorePlus needed to reduce support load and rebuild trust in the platform to improve order completion.

StorePlus needed to reduce support load and rebuild trust in the platform to improve order completion.

StorePlus needed to reduce support load and rebuild trust in the platform to improve order completion.

StorePlus needed to reduce support load and rebuild trust in the platform to improve order completion.

THE SOLUTION

THE SOLUTION

THE SOLUTION

old vs. revamped version

old vs. revamped version

what was my process behind this?🤔

what was my process behind this?🤔

what was my process behind this?🤔

THE RESEARCH

THE RESEARCH

THE RESEARCH

Talking to the users revealed problems that ran deeper than usability alone

Talking to the users revealed problems that ran deeper than usability alone

My main research goal:

My main research goal:

My main research goal:

▪️What drives the users? Understanding their goals and motivations.

▪️What drives the users? Understanding their goals and motivations.

▪️What drives the users? Understanding their goals and motivations.

▪️What drives the users? Understanding their goals and motivations.

▪️How do they work? Mapping out their daily workflow.

▪️How do they work? Mapping out their daily workflow.

▪️How do they work? Mapping out their daily workflow.

▪️How do they work? Mapping out their daily workflow.

▪️How does the platform fit in? Identifying how they use it to accomplish tasks.

▪️How does the platform fit in? Identifying how they use it to accomplish tasks.

▪️How does the platform fit in? Identifying how they use it to accomplish tasks.

▪️How does the platform fit in? Identifying how they use it to accomplish tasks.

USER INTERVIEWS

USER INTERVIEWS

USER INTERVIEWS

I interviewed 4 wholesalers and 4 retailers

I interviewed 4 wholesalers and 4 retailers

I interviewed 4 wholesalers and 4 retailers

I interviewed 4 wholesalers and 4 retailers

The goal of the interviews was to uncover how retailers and wholesalers experienced the existing order tracking flow:

  • For retailers, to understand what information they needed after placing an order and why the current system wasn’t giving them confidence.

  • For wholesalers, to learn how they managed updates, what workflows they followed outside the platform, and where inefficiencies were creeping in.

The goal of the interviews was to uncover how retailers and wholesalers experienced the existing order tracking flow:

  • For retailers, to understand what information they needed after placing an order and why the current system wasn’t giving them confidence.

  • For wholesalers, to learn how they managed updates, what workflows they followed outside the platform, and where inefficiencies were creeping in.

The goal of the interviews was to uncover how retailers and wholesalers experienced the existing order tracking flow:

  • For retailers, to understand what information they needed after placing an order and why the current system wasn’t giving them confidence.

  • For wholesalers, to learn how they managed updates, what workflows they followed outside the platform, and where inefficiencies were creeping in.

The goal of the interviews was to uncover how retailers and wholesalers experienced the existing order tracking flow:

  • For retailers, to understand what information they needed after placing an order and why the current system wasn’t giving them confidence.

  • For wholesalers, to learn how they managed updates, what workflows they followed outside the platform, and where inefficiencies were creeping in.

UX AUDIT

UX AUDIT

UX AUDIT

The goal was to identify friction in the existing flow.

The goal was to identify friction in the existing flow.

The goal was to identify friction in the existing flow.

The goal was to identify friction in the existing flow.

Findings: Vague “Processing” status until delivery, no ETAs, no exception handling, and the same view for both retailers and wholesalers.

Findings: Vague “Processing” status until delivery, no ETAs, no exception handling, and the same view for both retailers and wholesalers.

Findings: Vague “Processing” status until delivery, no ETAs, no exception handling, and the same view for both retailers and wholesalers.

Findings: Vague “Processing” status until delivery, no ETAs, no exception handling, and the same view for both retailers and wholesalers.

CONTEXTUAL INQUIRY

CONTEXTUAL INQUIRY

CONTEXTUAL INQUIRY

The goal was to observe how users tracked orders in daily workflows.

The goal was to observe how users tracked orders in daily workflows.

The goal was to observe how users tracked orders in daily workflows.

The goal was to observe how users tracked orders in daily workflows.

Findings: Noticed small workarounds: sticky notes taped to desks, group chats pinging all day, and paper invoices stacked in piles. These hacks were signals of what was not working.

Findings: Noticed small workarounds: sticky notes taped to desks, group chats pinging all day, and paper invoices stacked in piles. These hacks were signals of what was not working.

Findings: Noticed small workarounds: sticky notes taped to desks, group chats pinging all day, and paper invoices stacked in piles. These hacks were signals of what was not working.

Findings: Noticed small workarounds: sticky notes taped to desks, group chats pinging all day, and paper invoices stacked in piles. These hacks were signals of what was not working.

AFFINITY DIAGRAM

AFFINITY DIAGRAM

AFFINITY DIAGRAM

The real opportunity was to simplify the journey, build trust with transparency, and reduce friction in daily tasks. This became the foundation to guide the rest of the design process.

The real opportunity was to simplify the journey, build trust with transparency, and reduce friction in daily tasks. This became the foundation to guide the rest of the design process.

The real opportunity was to simplify the journey, build trust with transparency, and reduce friction in daily tasks. This became the foundation to guide the rest of the design process.

The real opportunity was to simplify the journey, build trust with transparency, and reduce friction in daily tasks. This became the foundation to guide the rest of the design process.

Clustering 30+ user insights into themes that shaped the redesign

Clustering 30+ user insights into themes that shaped the redesign

Clustering 30+ user insights into themes that shaped the redesign

Clustering 30+ user insights into themes that shaped the redesign

3 key findings from the User Research

3 key findings from the User Research

Project kicked off by conducting 5+ interviews, contextual inquiry, competitive analysis, and a thorough UX audit revealing 3 key problems...

Project kicked off by conducting 5+ interviews, contextual inquiry, competitive analysis, and a thorough UX audit revealing 3 key problems...

Project kicked off by conducting 5+ interviews, contextual inquiry, competitive analysis, and a thorough UX audit revealing 3 key problems...

Retailers lost confidence in the system
Retailers lost confidence in the system
Retailers lost confidence in the system
Retailers lost confidence in the system

70% said seeing only “Processing” made them turn to WhatsApp or calls, abandoning StorePlus as a reliable source of truth

70% said seeing only “Processing” made them turn to WhatsApp or calls, abandoning StorePlus as a reliable source of truth

70% said seeing only “Processing” made them turn to WhatsApp or calls, abandoning StorePlus as a reliable source of truth

70% said seeing only “Processing” made them turn to WhatsApp or calls, abandoning StorePlus as a reliable source of truth

One-size-fits-all view didn’t match user needs
One-size-fits-all view didn’t match user needs
One-size-fits-all view didn’t match user needs
One-size-fits-all view didn’t match user needs

Both retailers and wholesalers saw the same order view, even though retailers needed predictability while wholesalers needed efficiency.

Both retailers and wholesalers saw the same order view, even though retailers needed predictability while wholesalers needed efficiency.

Both retailers and wholesalers saw the same order view, even though retailers needed predictability while wholesalers needed efficiency.

Both retailers and wholesalers saw the same order view, even though retailers needed predictability while wholesalers needed efficiency.

No visibility into exceptions
No visibility into exceptions
No visibility into exceptions
No visibility into exceptions

Delays, partial deliveries, and backorders weren’t surfaced in the system.

Delays, partial deliveries, and backorders weren’t surfaced in the system.

Delays, partial deliveries, and backorders weren’t surfaced in the system.

Delays, partial deliveries, and backorders weren’t surfaced in the system.

PROJECT SCOPING

PROJECT SCOPING

PROJECT SCOPING

  1. Closing the Visibility Gap in Order Tracking
  1. Closing the Visibility Gap in Order Tracking
  1. Closing the Visibility Gap in Order Tracking
Low dev effort
Low dev effort
Low dev effort
Low dev effort
Less time
Less time
Less time
Less time
High impact
High impact
High impact
High impact
  1. Handling Exceptions Proactively (Delays, Backorders, Splits)
  1. Handling Exceptions Proactively (Delays, Backorders, Splits)
  1. Handling Exceptions Proactively (Delays, Backorders, Splits)
High dev effort
High dev effort
High dev effort
High dev effort
More time
More time
More time
More time
High impact
High impact
High impact
High impact

IDEATION: MY APPROACH

IDEATION: MY APPROACH

IDEATION: MY APPROACH

Fixing the Order Tracking Flow

Fixing the Order Tracking Flow

RETHINKING THE EXPERIENCE

RETHINKING THE EXPERIENCE

RETHINKING THE EXPERIENCE

In the current flow, retailers only saw “Processing” until the order was marked “Delivered.” This vague journey left them in the dark and pushed them back to WhatsApp and calls.

In the current flow, retailers only saw “Processing” until the order was marked “Delivered.” This vague journey left them in the dark and pushed them back to WhatsApp and calls.

In the current flow, retailers only saw “Processing” until the order was marked “Delivered.” This vague journey left them in the dark and pushed them back to WhatsApp and calls.

With research in hand, the next step was to rethink order tracking around clarity, predictability, and trust

With research in hand, the next step was to rethink order tracking around clarity, predictability, and trust

With research in hand, the next step was to rethink order tracking around clarity, predictability, and trust

To find the right direction, I looked at B2B platforms like Walmart, Amazon and Alibaba to understand why their flows work successfully. I realized three things:

To find the right direction, I looked at B2B platforms like Walmart, Amazon and Alibaba to understand why their flows work successfully. I realized three things:

To find the right direction, I looked at B2B platforms like Walmart, Amazon and Alibaba to understand why their flows work successfully. I realized three things:

At this point, the PM and I debated whether adding more granular statuses (e.g., Order Received → Packed → Shipped → In Transit → Delivered) would solve the problem. It looked like a good fix, but we wanted to validate it before committing to design and dev effort.

At this point, the PM and I debated whether adding more granular statuses (e.g., Order Received → Packed → Shipped → In Transit → Delivered) would solve the problem. It looked like the a good fix, but we wanted to validate it before committing to design and dev effort.

At this point, the PM and I debated whether adding more granular statuses (e.g., Order Received → Packed → Shipped → In Transit → Delivered) would solve the problem. It looked like a good fix, but we wanted to validate it before committing to design and dev effort.

At this point, the PM and I debated whether adding more granular statuses (e.g., Order Received → Packed → Shipped → In Transit → Delivered) would solve the problem. It looked like the a good fix, but we wanted to validate it before committing to design and dev effort.

So, we did user testing

So, we did user testing

I created low-fidelity wireframes showing an extended set of 7–8 statuses. We ran quick usability sessions with 5 retailers, asking them to walk through the flow and explain what each status meant to them. The feedback we received was consistent

I created low-fidelity wireframes showing an extended set of 7–8 statuses. We ran quick usability sessions with 5 retailers, asking them to walk through the flow and explain what each status meant to them. The feedback we received was consistent

I created low-fidelity wireframes showing an extended set of 7–8 statuses. We ran quick usability sessions with 5 retailers, asking them to walk through the flow and explain what each status meant to them. The feedback we received was consistent

Learning from Feedback

Learning from Feedback

Learning from Feedback

Learning from Feedback

More details meant more cognitive load. Instead, users needed more clarity and visibility of information

More details meant more cognitive load. Instead, users needed more clarity and visibility of information

More details meant more cognitive load. Instead, users needed more clarity and visibility of information

More details meant more cognitive load. Instead, users needed more clarity and visibility of information

Coming up with a new flow

Coming up with a new flow