Partners Platform

Redesigning a B2B partner platform end-to-end — from a KAM-dependent dashboard to a self-serve experience that cut onboarding drop-off by 40%.

Year

2022

Type

B2B web App

Timeframe

8-10 Weeks

Problem & Context

PayU's partner programme — developers, resellers, and enterprise platforms who refer merchants and earn incentives — was a strong growth channel on paper: 300 active partners, 350,000 referred merchants,


40 billion in transaction volume. In reality, the platform was failing everyone involved.

The business problem:

40% of partners dropped off during merchant onboarding — direct revenue loss

Every step that should have been self-serve required a KAM (Key Account Manager) call

Business was absorbing the cost in support time and lost conversions

60+ pain points across 7 journey stages, documented but unaddressed

No transparent timelines — KYC verification showed "TBD" instead of actual days

Incentive calculations were a black box — partners couldn't verify their own earnings

/01

Research & Discovery

The brief said "redesign the platform." I resisted the brief — a redesign brief almost always hides a more specific problem. Before opening Figma, I needed to know what redesign actually meant here.

Methods:

14 in-depth user interviews across 5 partner groups — deliberately including partners who quit

Groups: active resellers, new resellers, stuck resellers (abandoned midway), enterprise platform partners, internal sales stakeholders

Gap analysis — mapping user needs at each journey stage vs what the platform offered

Support ticket + KAM call log analysis — what were partners actually calling about

Journey mapping across all 7 stages from signup to incentive payout

View Atrifacts

/02

In Their Own Words

10 end users and 4 internal stakeholders interviewed across developer, reseller and enterprise personas. These moments defined what the redesign had to solve.

/03

Key Insights

The stuck resellers gave the most useful data:

Recruiting people who quit — not just people succeeding — revealed the real failure points. Their abandonment reasons were structural, not cosmetic.

It was never about the UI:

No transparent timelines, black-box incentives, forced KAM dependency at every step. The platform structurally didn't support self-serve at any stage.

The navigation reflected PayU's org chart, not partner jobs:

11 nav items ordered by PayU's internal product structure. A reseller thinks: add a merchant, check if they're live, see what I've earned. The IA fought them at every step.

KAM calls were a symptom, not a preference:

Partners didn't want to call KAMs. They called because the dashboard gave them no other path. Every call was a self-serve failure logged as a support interaction.

/04

Design Approach &

Principles

The strategic shift: restructure the platform around partner jobs-to-be-done, not PayU's product taxonomy — and make every journey stage self-serve by default, with KAM escalation as the exception.

Principles:

Task-based IA — navigation follows what partners do, not what PayU sells

Radical transparency — every process shows real timelines, every incentive shows its math

Self-serve first — KAM contact is an escalation path, never a requirement

Progressive onboarding — partners see value before completing full KYC

Status visibility — partners always know where every merchant is in the pipeline

/05

Ideation & Exploration

Before wireframing a single screen, I restructured the information architecture. Five primary sections

replaced eleven — organized around the partner's job-to-be-done.

/06

Design Decisions

Restructured IA from 11 product-based items to 5 task-based sections

What: Navigation reorganized around partner jobs: Add Merchants, Track Status, Earnings, Resources, Account.


Why: Research showed partners think in tasks, not PayU's product categories. This single structural change reduced time-to-first-action across every flow measured.

/07

Final Designs

The complete Partner Journey

From discovery to first incentive — 4 key stages, each redesigned to remove human dependency from the critical path.

/08

Outcomes & Impact

Drop-off reduction

40%

Faster onboarding

3x

KAM call volume

-55%

CSAT Improvement

+61%

Onboarding drop-off reduced by 40% — directly recovering lost activations

Onboarding completion 3x faster with self-serve flows and inline validation

KAM call volume significantly reduced — calls shifted from routine status checks to genuine escalations

Task-based IA adopted as the pattern for other PayU B2B products

Incentive transparency eliminated the #2 support call category entirely

/09

Reflections

What worked:

Resisting the "redesign" brief and finding the structural problem first — the IA restructure did more than any visual change

Recruiting stuck/churned partners for research — their data was the most actionable

Fixing trust (timelines, incentive math) before fixing aesthetics

What I'd do differently:

Involve KAMs earlier — they initially saw self-serve as a threat to their role; earlier alignment would have smoothed rollout

Instrument the funnel before redesign started — baseline data took weeks to reconstruct

Phase the IA change more gradually — existing partners needed more migration support than anticipated

/10

In Their Own Words

10 end users and 4 internal stakeholders interviewed across developer, reseller and enterprise personas. These moments defined what the redesign had to solve.

/03

Key Insights

/04

The stuck resellers gave the most useful data:

Recruiting people who quit — not just people succeeding — revealed the real failure points. Their abandonment reasons were structural, not cosmetic.

It was never about the UI:

No transparent timelines, black-box incentives, forced KAM dependency at every step. The platform structurally didn't support self-serve at any stage.

The navigation reflected PayU's org chart, not partner jobs:

11 nav items ordered by PayU's internal product structure. A reseller thinks: add a merchant, check if they're live, see what I've earned. The IA fought them at every step.

KAM calls were a symptom, not a preference:

Partners didn't want to call KAMs. They called because the dashboard gave them no other path. Every call was a self-serve failure logged as a support interaction.

Email:

hello@sagarkumar.site

Phone:

+91 70668 72321

I work with brands to define who they are, design how they show up, and create experiences that matter. Less noise, more intention.

Privacy Policy

Terms of Service

Framer Made

handcrafted by sagar kumar

© 2026 Sagar. All rights reserved.

Framer Made

handcrafted by sagar kumar

Design Approach & Principles

/05

The strategic shift: restructure the platform around partner jobs-to-be-done, not PayU's product taxonomy — and make every journey stage self-serve by default, with KAM escalation as the exception.

Principles:

  1. Task-based IA — navigation follows what partners do, not what PayU sells

  2. Radical transparency — every process shows real timelines, every incentive shows its math

  3. Self-serve first — KAM contact is an escalation path, never a requirement

  4. Progressive onboarding — partners see value before completing full KYC

  5. Status visibility — partners always know where every merchant is in the pipeline

Ideation & Exploration

/06

Before wireframing a single screen, I restructured the information architecture. Five primary sectionsreplaced eleven — organized around the partner's job-to-be-done.

Make the full partner journey self-serve

From discovery to first incentive, every step completable on the dashboard — no KAM email, no offline form, no waiting.

Design for all 3 partner types

One platform, three journeys. Developer, reseller and enterprise partners each have distinct needs — the dashboard must serve all without compromise.

Build real-time incentive transparency

Daily breakdowns, pending amounts and claim status visible on the dashboard — eliminating the trust gap that was driving partners to competitors.

Design Decisions

/07

Restructured IA from 11 product-based items to 5 task-based sections

What: Navigation reorganized around partner jobs: Add Merchants, Track Status, Earnings, Resources, Account.


Why: Research showed partners think in tasks, not PayU's product categories. This single structural change reduced time-to-first-action across every flow measured.

Final Designs

/07

The complete Partner Journey

From discovery to first incentive — 4 key stages, each redesigned to remove human dependency from the critical path.

PARTNERS PLATFORM

Redesigning a B2B partner platform end-to-end — from a KAM-dependent dashboard to a self-serve experience that cut onboarding drop-off by 40%.

Year

2022

Type

B2B web App

Timeframe

8-10 Weeks

Problem & Context

/01

PayU's partner programme — developers, resellers, and enterprise platforms who refer merchants and earn incentives — was a strong growth channel on paper: 300 active partners, 350,000 referred merchants,


40 billion in transaction volume. In reality, the platform was failing everyone involved.

The business problem:

  1. 40% of partners dropped off during merchant onboarding — direct revenue loss

  2. Every step that should have been self-serve required a KAM (Key Account Manager) call

  3. Business was absorbing the cost in support time and lost conversions

  4. 60+ pain points across 7 journey stages, documented but unaddressed

  5. No transparent timelines — KYC verification showed "TBD" instead of actual days

  6. Incentive calculations were a black box — partners couldn't verify their own earnings

Research & Discovery

Methods:

  1. 14 in-depth user interviews across 5 partner groups — deliberately including partners who quit

  2. Groups: active resellers, new resellers, stuck resellers (abandoned midway), enterprise platform partners, internal sales stakeholders

  3. Gap analysis — mapping user needs at each journey stage vs what the platform offered

  4. Support ticket + KAM call log analysis — what were partners actually calling about

  5. Journey mapping across all 7 stages from signup to incentive payout

/02

Outcomes & Impact

/08

Drop-off reduction

40%

Faster onboarding

3x

KAM call volume

-55%

CSAT Improvement

+61%

  1. Onboarding drop-off reduced by 40% — directly recovering lost activations

  2. Onboarding completion 3x faster with self-serve flows and inline validation

  3. KAM call volume significantly reduced — calls shifted from routine status checks to genuine escalations

  4. Task-based IA adopted as the pattern for other PayU B2B products

  5. Incentive transparency eliminated the #2 support call category entirely

Reflections

/09

What I'd do differently:

Involve KAMs earlier — they initially saw self-serve as a threat to their role; earlier alignment would have smoothed rollout

Instrument the funnel before redesign started — baseline data took weeks to reconstruct

Phase the IA change more gradually — existing partners needed more migration support than anticipated

What worked:

Resisting the "redesign" brief and finding the structural problem first — the IA restructure did more than any visual change

Recruiting stuck/churned partners for research — their data was the most actionable

Fixing trust (timelines, incentive math) before fixing aesthetics

Email:

hello@sagarkumar.site

Phone:

+91 70668 72321

I work with brands to define who they are, design how they show up, and create experiences that matter. Less noise, more intention.

Privacy Policy

Terms of Service

Framer Made

handcrafted by sagar kumar

© 2026 Sagar. All rights reserved.