Scrolltelling: End-to-End Product Journey

From problem discovery to enterprise-wide impact — a case study in product leadership

0→1

Product Build

6+

Source Systems

10K+

Users Impacted

$18M

Target Savings

ProblemDiscoveryDataDeliveryResultsFuture
01 / The Problem
The Initial Request

Executive Pain Point

"I can't find what needs my attention." — Executives couldn't keep track of approvals spread across multiple systems. They were missing important approvals that needed immediate followup.

0 hours wasted.

$0M lost annually. Fragmented approvals killing productivity.

Before: The Chaos

Multiple fragmented notification sources

6+

Systems

Chaos

Experience

Missed

Approvals

After: Approval Hub
MobileWeb

Unified approval experience

In-App

Approvals

2.1M+

Users

Live

Platform

Designed every detail — button placement, copy, UX flows — in close collaboration with design team

What came next?

User research with operational approvers revealed deeper problems...

72K

Emails/year per user for single contract approvals

Excel

Manual tracking in spreadsheets to avoid duplication

Unused

Phone apps existed but nobody used them

Principal Moment

Scroll to see the discovery
The Scale of Impact

The Hidden Cost of Fragmentation

Every enterprise faces the same approval chaos.

Time Spent on Approvals
0hours/year

Operational approvers spend an average of 2 hours per day tracking and processing approvals across multiple fragmented systems.

Productivity Cost
$0M/year

At an average of $30/hr across 1,000 approvers, fragmented approvals drain millions in productivity.

Executive Impact

Approvals pending in millions of dollars

For executive leaders, the same problem compounds at a higher level. Pending approvals represent millions of dollars in procurement decisions sitting in queues—leading to delayed vendor contracts, missed opportunities, and business loss. Time spent tracking approvals is a serious issue at every level of the organization.

10%

$1.8M

Even a 10% efficiency improvement saves millions annually.

25%

$4.5M

Quarter improvement in approval efficiency compounds across the org.

60%

$10.8M

Our target: 5-day → 2-day approval times = 60% time reduction.

Principal Moment

02 / Discovery

Built for Real Enterprise Needs

Designed from extensive user research across approval domains.

Leadership Interview Insights

VP of Operations & Director of Finance on executive approval needs

Target User Segments — Initially identified for Indirect Procurement, expandable across the enterprise

Pain Points We Solve

Real problems identified through user research, now solved by Scrolltelling.

Synthesized Insights

Critical

Smart Notification Management

Duplicate emails, missing context, no control over frequency—all solved with intelligent notification consolidation.

Critical

Built-in Tracking & Assignment

No more Excel trackers. Automatic routing, team assignment, and priority management built right in.

High

Complete In-App Processing

Review, communicate, and approve—all in one place. No more switching between email, systems, and file shares.

Feature Prioritization (RICE)

Data-Driven Product

Measurement Framework

14 custom metrics across 5 categories to measure adoption, performance, and business impact

Source Application

3 metrics

Total Requests per SourceVolume tracking
Count of approval requests from Source A
Action Rate per SourceEngagement by app
(Approvals + Rejects) / Total Requests × 100
Avg Approval Time per SourcePerformance benchmark
Σ(Time Out - Time In) / Request Count
Total Requests per SourceAction Rate per Source+1 more

Adoption Metrics

2 metrics

Adoption per SourceApp-level adoption
Users Interacting / Total Source Users × 100
Overall Adoption RatePlatform efficacy
Active Users / Target Users × 100
Adoption per SourceOverall Adoption Rate

Retention Metrics

2 metrics

Retention by SourceStickiness by app
Repeat Users (14d) / Total Unique Users
Overall RetentionPlatform stickiness
Multi-interaction Users / All Users
Retention by SourceOverall Retention

Team Performance

4 metrics

Approvals per TeamTeam workload
Count of approve/reject by team
Avg Time per TeamTeam efficiency
Σ Team Approval Time / Team Actions
Pending per TeamBottleneck detection
Open requests assigned to team
Individual PerformanceLoad balancing
Actions per team member
Approvals per TeamAvg Time per Team+2 more

Impact Metrics

2 metrics

ReachVisibility
Notifications Read / Notifications Sent
Approval Time DeltaTime savings
(Before - After) / Before × 100
ReachApproval Time Delta
AI/ML Opportunity

Data Foundation for Intelligent Approvals

The metrics framework creates a rich dataset for training ML models to predict approval times, detect bottlenecks, and enable smart routing.

Predict approval times & alert on anomalies
Detect bottlenecks by team & application
Optimize routing & enable mass approvals

Key Data Parameters for ML

⏱️
Approval Time
Historical time-to-approve patterns
📱
Application Type
Coupa, SAP, iP2P behavior differences
💰
Request Value
$ amount correlation with approval speed
🏢
Department
Team-specific approval patterns
📋
Request Type
PO, Invoice, Contract variations
👤
Approver History
Individual approval behavior
Principal Moment

Designed the measurement framework upfront - not as an afterthought. This enables data-driven iteration and creates the foundation for AI/ML capabilities in the product roadmap.

03 / The Journey

How Scrolltelling Works

A unified experience built on powerful integrations.

6systems

Integrated platforms

15K/week

Approvals processed

60%faster

Decision time

Journey Timeline

Connect

System Integration

Pre-built connectors for major enterprise platforms with custom API support

Unify

Approval Consolidation

All approvals appear in a single, prioritized feed

Act

In-App Decision Making

Approve, reject, or escalate without switching systems

Control

Notification Management

Users control what they see and when

Scale

Enterprise Rollout

From pilot to global deployment

Principal Moment

How I Collaborate

Bridging business, design, and engineering through structured collaboration

With Engineering

1

Daily Cadence When Required

Sync only when needed, respecting engineering focus time

2

Deep Technical Collaboration

Work through data sources, fields, APIs, and design interactions together

3

Clear Documentation

Documenting flows and user stories on Jira with full context

4

4iTB Success/Blocker Framework

Bridging business and engineering with structured reporting

5

Recognize Individual Contributions

Credit team members for pushing through challenging times

6

Hands-On Problem Solving

Sat with engineering on APIs and vendor solutions—I understand tech to make quick decisions while giving engineering freedom

With Design

1

Early Involvement

Involve design very early in discovery and research phases

2

Feasibility Loops

Work through feedback loops and UX options, involving engineering for feasibility checks

3

Bridge Business & Engineering

Connect design and business early, then design and engineering during delivery

4

Lead Time Buffer

Push design teams to deliver experiences with multiple ideations, giving engineering at least 1 month lead time

Business
Design
Engineering

Connecting the triad through structured collaboration

04 / Results

Proven Results

Real impact from real enterprise deployments.

Currently Processing

0

requests / week

300+ active users6 systems live5 global regions

Real User Feedback

"The approval process is very seamless. I love how clean the system is."

Director, Controllership

15K

Requests processed weekly

300+

Active users globally

6

Systems integrated

5

Global regions

Target KPIs

Goals we're working towards

achieved

60%

Approval time reduction

5-day → 2-day cycle

achieved

80%

Email volume reduction

Via notification consolidation

in-progress

1,000+

Active approvers globally

Full rollout underway

Platform Growth

Tracking the complete user journey from notification to action

1

18

Pilot Launch

2

300

Production Users

16x growth
3

6

Systems Integrated

Live now
4

5

Global Regions

Worldwide

Principal Moment — Scaling Impact

05 / The Evolution

Platform Features

Everything you need for enterprise approval management.

Scrolltelling delivers a complete platform for managing approvals across your enterprise.

Phase 2 — LIVE

Currently in production

Live

In-App Approvals

Approve, reject, or send back directly within the Approval Hub—no system switching required

Live

Notification Control

Granular control over what notifications you receive and how often

Live

Multi-System Support

Procurement, ERP, Invoice, Catalog, Travel, and E-Signature systems integrated

Live

Deep Link Navigation

One-click access to source systems when you need full context

Live

Custom Filters

Create personalized views based on type, priority, or source system

Live

Smart Reminders

Automated reminders for pending approvals based on your preferences

Web - Navigate to Source
Version 1 Navigate to Source - Web
Open GNFR
Mobile - Navigate to Source
Version 1 Navigate to Source - Mobile
1

MVP1: Navigate to Source

Built in 2 months

Integrated source applications with Approval Hub in just 2 months. Users see approval details and navigate to source system to take action. Reduced context switching while proving the concept.

Delivery

2 Months

Pilot Users

18 users

Integration

4 Systems Live

Setback

Lost 3 months due to platform transition—the integration partner fell back from V2 to V1. Had to rebuild, but modular design meant only re-scoping, not starting over.

Enterprise-Ready Design

Built with enterprise requirements in mind:

Custom FiltersSmart RemindersSource System IconsTime Remaining BadgesPriority ScoringDelegation Support

Principal Moment — Platform Partnership

06 / Future Vision

The Future: AI-Powered Approvals

From unified platform to autonomous workflow optimization.

Scrolltelling is evolving with AI capabilities that will transform how enterprises handle approvals.

The Roadmap

From platform to AI-first approval optimization

Future

Unified Platform

All approvals in one place with full context and actions

In Progress

Global Rollout

Enterprise-wide deployment across all business units and regions

Future

Smart Recommendations

AI-powered suggestions based on historical patterns and risk assessment

Planned

Flow Analytics

Insights and telemetry for optimizing approval workflows

Planned

Intelligent Routing

Auto-route to the right approver based on type, amount, and availability

Future

Batch Processing

Mass approval for low-risk, routine items with human oversight

AI Capabilities

The approval patterns we're collecting enable intelligent automation

Pattern Recognition

Learn from approval history to surface smart recommendations

Risk Assessment

Automatically flag unusual requests for closer review

Smart Routing

Route to available approvers based on workload and expertise

Predictive Analytics

Forecast approval bottlenecks before they happen

The Vision

Enterprise-Wide Adoption

Followed by smart AI-based approvals and telemetry for optimizing approval flows

Automated Routing
Mass Approvals
Flow Optimization

Principal Moment

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