The organization believed users were failing

Adoption Failure Had Already Become Operational Risk

GovTech Case Study Background Image

Within 90 days, I identified the system failures driving low adoption and developed a strategy to stabilize operational workflows across a high-compliance SaaS platform.

ROLE

Digital Experience Strategy Lead (SME/IC Internal Lead)

OWNERSHIP

Cross-functional adoption, onboarding, and workflow strategy

Overview

AtlasMove developed a connected SaaS ecosystem supporting U.S. military relocation operations. The platform included a service member app for managing relocation details and tracking stored items, a logistics CRM used by Relay Operations Group (ROG) to coordinate approved moving vendors and compliance workflows, and a role-based mobile app used by packing, transportation, and delivery crews in the field.

GovMove - CRM Dashboard
GovMove - Packing Inventory Doc Screen
GovMove - Client Status Screen

The ecosystem operated under intense operational pressure.

The ecosystem operated under a high-pressure government contract that required ROG to scale military move operations nationwide by 2026.

At the time I joined, adoption across the platform was low, operational workflows were breaking down, and support volume was escalating across both service member and moving organization experiences.

The Problem

The Platform Was Growing Faster Than The System Supporting It

The issue wasn’t user resistance.

The ecosystem depended on thousands of distributed users completing operational workflows correctly across multiple connected applications.

But onboarding, identity, training, and workflow ownership were fragmented across teams.

No one had full visibility into where adoption was failing or how those failures impacted operational performance downstream.

At a glance, operations appeared active:

Support teams were responding to issues.

Training content existed.

New platform features were shipping.

Vendor onboarding continued scaling.

The system told a different story:

Authentication failures were suppressing adoption.

Critical workflows were being completed incorrectly.

Support volume was escalating across teams.

Operational breakdowns were creating compliance and contract risk.

The Reality

Multiple Systems. No Shared Visibility.

The ecosystem wasn’t failing in one place—it was failing across disconnected operational systems

Identity workflows were breaking across platforms

Support teams were responding without root-cause visibility

Training and onboarding was disconnected from operational workflows

Critical workflow failures hid inside fragmented reporting systems

Each team managed its own operational layer.

Each measured different signals.

No one had visibility across the full ecosystem.

The Diagnosis

The System Couldn’t Measure Where Adoption Was Failing.

I conducted a cross-platform operational audit to identify where onboarding, workflow completion, and adoption were breaking down across the ecosystem.

What I found was fragmented instrumentation, incomplete behavioral visibility, and disconnected reporting systems that prevented teams from understanding how operational failures were spreading across products.

Data Sources Included:

Product Adoption + Engagement

Gainsight PX, DataDog

LMS + Enablement

Northpass LMS

CRM + Workflow Analytics

GA4, Salesforce

Support + Operational Data

Knowledge Center analytics, support tickets, TTV reporting

Identity + Access Systems

Okta

This analysis revealed a critical disconnect.

Operational teams were making adoption decisions without complete workflow visibility across the platform ecosystem.

Critical workflows lacked:

  • Behavioral Instrumentation
  • Path Analysis
  • Cross-platform Reporting
  • Operational Failure Visibility

A key finding:

The organization had detailed support data but limited visibility into the behaviors creating those support issues.

The most actionable operational insights came from support escalation patterns rather than product analytics infrastructure.

This meant:

  • Critical workflows weren’t measurable
  • Operational failures spread silently across systems
  • Adoption issues were diagnosed reactively
  • Teams lacked shared visibility into user behavior

My findings were operationalized through cross-functional readiness reports, workflow diagnostics, support analysis, and adoption infrastructure recommendations used to realign onboarding, enablement, and product strategy priorities.

Support Case Analysis Slide
Slide Header
Analysis Findings Slide

The Insight

Two Workflow Failures Were Disrupting The Entire Ecosystem.

Support tickets revealed recurring operational breakdowns across onboarding, authentication, and inventory management.

But the real issue wasn’t isolated to usability friction—it was that critical operational workflows were failing at key dependency points across the ecosystem.

Workflow 01 | CRM Activation & Assignment

Authentication Failure Was Blocking Operational Activation

CRM coordinators frequently failed during Okta onboarding and first-login workflows.

When coordinators couldn’t access the CRM:

  • moving crews couldn’t be assigned
  • workflows stalled before activation
  • operational delays spread downstream
  • service members were left waiting without visibility

The issue wasn’t simply authentication friction. It was an operational dependency failure at the beginning of the move lifecycle.

CRM Workflow Slide

Workflow 02 | Packing Inventory

Inventory Failure Disrupted The Entire Move Lifecycle

Packing crews initiated the operational chain for every move.

But inventory workflows were highly complex, poorly supported, and vulnerable to incomplete task completion.

When inventory workflows failed:

  • transportation workflows stalled
  • delivery coordination broke down
  • compliance documentation became unreliable
  • payment timelines were delayed
  • support escalations surged

A single incomplete workflow could disrupt the entire relocation lifecycle.

Packing Workflow Slide

The Strategy

Rebuilding Adoption Around Operational Workflows

The strategy focused on stabilizing the operational workflows that directly impacted onboarding, move execution, support volume, and workflow continuity across the ecosystem.

Instead of treating onboarding, training, support, and in-app guidance as separate initiatives, I rebuilt the approach around measurable operational workflows tied directly to business outcomes and downstream operational dependencies.

Stabilizing Onboarding & Activation

I redesigned onboarding around role-specific activation paths, including a pre-login enablement experience built to reduce Okta authentication failure before first system access.

Prioritizing high-risk operational workflows

Mapped critical workflows across the ecosystem to identify where onboarding friction, incomplete tasks, and operational breakdowns were creating downstream delays and support escalation.

Rebuilding workflow visibility

Introduced workflow identification frameworks and data-informed prioritization models designed to improve operational visibility across onboarding, support, and field operations.

Preventing silent operational failure

Defined in-app guidance and workflow enforcement opportunities to reduce incomplete inventory workflows, operational bottlenecks, and hidden compliance risk across the move lifecycle.

Operational Activation Strategy

An onboarding strategy built around operational readiness—not just account creation

I proposed a headless LMS and pre-login enablement system designed to:

  • Train users on Okta authentication before first login
  • Reduce onboarding confusion
  • Accelerate time-to-first-task
  • Decrease authentication-related support volume
  • Improve activation across operational roles

This created a clearer path from onboarding to operational readiness.

LMS-Training-Service Blueprint

Inventory Workflow Stabilization

Inventory workflows were redesigned around operational continuity

I mapped the downstream dependencies tied to inventory completion and identified where incomplete workflows disrupted transportation, delivery coordination, compliance documentation, and payment processing.

The proposed workflow strategy focused on:

  • Guided workflow completion
  • Operational reinforcement patterns
  • Role-based support moments
  • Workflow enforcement opportunities
  • Reduced operational lag across the move lifecycle
Packing Crew Onboarding DAP
DX Strategy Confluence Doc

The strategy transformed adoption from a training problem into an operational systems initiative—connecting onboarding, workflow completion, support reduction, and operational continuity into a measurable adoption framework.

The Impact

The Organization Finally Had Visibility Into The Real Problem

Within 90 days, the organization shifted from reactive support escalation to a measurable operational adoption strategy grounded in workflow visibility, onboarding diagnostics, and cross-platform operational dependencies.

For the first time, leadership had a clear view into where adoption was failing, how those failures impacted operational continuity, and which workflows carried the highest operational risk.

Operational Findings

14.2x

Authentication failure benchmark

Alert Icon
Alert Icon

42.45%

Users impacted by login and access friction

7.21x

Inventory workflow support volume above benchmark

Alert Icon

Projected Operational Improvements

84.5%

Projected onboarding-to-activation improvement

User Icon
Revenue Icon

68%+

Increase in move completions

Revenue Icon

$50K+

Estimated annual support reduction opportunity

By aligning customer behavior, messaging, and measurement, the business shifted from generating activity to generating revenue.

The organization finally had visibility into the operational failures disrupting adoption across the ecosystem.

But by the time the system-level issues were fully understood, the contract was already under significant operational strain.

Case Studies

My Expertise Delivers For:

Marketing & Growth

Customer Acquisition & Conversion

Journey Mapping & Funnel Optimization

CRM & Retention Strategy

Behavioral Segmentation & Personalization

Landing Page & Onboarding Optimization

Customer Research & Insight Generation

AI-Supported Content & Experience Strategy

Product & CX

UX & Digital Experience Strategy

Onboarding & Adoption Systems

DAP Strategy & Optimization

Service Blueprinting

Customer & Employee Experience

Behavioral Design & Usability Optimization

AI-supported Product & Support Experiences

Strategy & Transformation

Cross-functional Alignment

Experience Transformation Initiatives

Operational Experience Design

Customer Intelligence Systems

Support and Onboarding Optimization

Research-driven Decision-making

AI-supported Workflow and Systems Strategy

Let’s Build Better Systems for People

Arrow

© 2026 Beth Pavinich. All rights reserved.

All content, case studies, strategy frameworks, written materials, visuals, diagrams, concepts, and supporting artifacts featured on this site are the intellectual property of Beth Pavinich and may not be copied, reproduced, distributed, modified, adapted, republished, or used in whole or in part without prior written permission.

Many projects featured on this site were completed under non-disclosure agreements (NDAs). Company names, product names, proprietary information, metrics, workflows, and identifying details have been anonymized, generalized, or modified to protect client confidentiality while accurately representing the scope and nature of the work.

The organization believed users were failing

Adoption Failure Had Already Become Operational Risk

GovTech Case Study Background Image

Within 90 days, I identified the system failures driving low adoption and developed a strategy to stabilize operational workflows across a high-compliance SaaS platform.

ROLE

Digital Experience Strategy Lead (SME/IC Internal Lead)

OWNERSHIP

Cross-functional adoption, onboarding, and workflow strategy

///

///

///

Overview

AtlasMove developed a connected SaaS ecosystem supporting U.S. military relocation operations. The platform included a service member app for managing relocation details and tracking stored items, a logistics CRM used by Relay Operations Group (ROG) to coordinate approved moving vendors and compliance workflows, and a role-based mobile app used by packing, transportation, and delivery crews in the field.

GovMove - CRM Dashboard
GovMove - Packing Inventory Doc Screen
GovMove - Client Status Screen

The ecosystem operated under intense operational pressure.

The ecosystem operated under a high-pressure government contract that required ROG to scale military move operations nationwide by 2026.

At the time I joined, adoption across the platform was low, operational workflows were breaking down, and support volume was escalating across both service member and moving organization experiences.

The Problem

The Platform Was Growing Faster Than The System Supporting It

The issue wasn’t user resistance.

The ecosystem depended on thousands of distributed users completing operational workflows correctly across multiple connected applications.

But onboarding, identity, training, and workflow ownership were fragmented across teams.

No one had full visibility into where adoption was failing or how those failures impacted operational performance downstream.

At a glance, operations appeared active:

Support teams were responding to issues.

Training content existed.

New platform features were shipping.

Vendor onboarding continued scaling.

The system told a different story:

Authentication failures were suppressing adoption.

Critical workflows were being completed incorrectly.

Support volume was escalating across teams.

Operational breakdowns were creating compliance and contract risk.

The Reality

Multiple Systems. No Shared Visibility.

The ecosystem wasn’t failing in one place—it was failing across disconnected operational systems

Identity workflows were breaking across platforms

Support teams were responding without root-cause visibility

Training and onboarding was disconnected from operational workflows

Critical workflow failures hid inside fragmented reporting systems

Each team managed its own operational layer.

Each measured different signals.

No one had visibility across the full ecosystem.

The Diagnosis

The System Couldn’t Measure Where Adoption Was Failing.

I conducted a cross-platform operational audit to identify where onboarding, workflow completion, and adoption were breaking down across the ecosystem.

What I found was fragmented instrumentation, incomplete behavioral visibility, and disconnected reporting systems that prevented teams from understanding how operational failures were spreading across products.

Data Sources Included:

Product Adoption + Engagement

Gainsight PX, DataDog

LMS + Enablement

Northpass LMS

CRM + Workflow Analytics

GA4, Salesforce

Support + Operational Data

Knowledge Center analytics, support tickets, TTV reporting

Identity + Access Systems

Okta

This analysis revealed a critical disconnect.

Operational teams were making adoption decisions without complete workflow visibility across the platform ecosystem.

Critical workflows lacked:

  • Behavioral Instrumentation
  • Path Analysis
  • Cross-platform Reporting
  • Operational Failure Visibility

A key finding:

The organization had detailed support data but limited visibility into the behaviors creating those support issues.

The most actionable operational insights came from support escalation patterns rather than product analytics infrastructure.

This meant:

  • Critical workflows weren’t measurable
  • Operational failures spread silently across systems
  • Adoption issues were diagnosed reactively
  • Teams lacked shared visibility into user behavior

My findings were operationalized through cross-functional readiness reports, workflow diagnostics, support analysis, and adoption infrastructure recommendations used to realign onboarding, enablement, and product strategy priorities.

Support Case Analysis Slide
Slide Header
Analysis Findings Slide

The Insight

Two Workflow Failures Were Disrupting The Entire Ecosystem.

Support tickets revealed recurring operational breakdowns across onboarding, authentication, and inventory management.

But the real issue wasn’t isolated to usability friction—it was that critical operational workflows were failing at key dependency points across the ecosystem.

Workflow 01 | CRM Activation & Assignment

Authentication Failure Was Blocking Operational Activation

CRM coordinators frequently failed during Okta onboarding and first-login workflows.

When coordinators couldn’t access the CRM:

  • moving crews couldn’t be assigned
  • workflows stalled before activation
  • operational delays spread downstream
  • service members were left waiting without visibility

The issue wasn’t simply authentication friction. It was an operational dependency failure at the beginning of the move lifecycle.

CRM Workflow Slide

Workflow 02 | Packing Inventory

Inventory Failure Disrupted The Entire Move Lifecycle

Packing crews initiated the operational chain for every move.

But inventory workflows were highly complex, poorly supported, and vulnerable to incomplete task completion.

When inventory workflows failed:

  • transportation workflows stalled
  • delivery coordination broke down
  • compliance documentation became unreliable
  • payment timelines were delayed
  • support escalations surged

A single incomplete workflow could disrupt the entire relocation lifecycle.

Packing Workflow Slide

The Strategy

Rebuilding Adoption Around Operational Workflows

The strategy focused on stabilizing the operational workflows that directly impacted onboarding, move execution, support volume, and workflow continuity across the ecosystem.

Instead of treating onboarding, training, support, and in-app guidance as separate initiatives, I rebuilt the approach around measurable operational workflows tied directly to business outcomes and downstream operational dependencies.

Stabilizing Onboarding & Activation

I redesigned onboarding around role-specific activation paths, including a pre-login enablement experience built to reduce Okta authentication failure before first system access.

Prioritizing high-risk operational workflows

Mapped critical workflows across the ecosystem to identify where onboarding friction, incomplete tasks, and operational breakdowns were creating downstream delays and support escalation.

Rebuilding workflow visibility

Introduced workflow identification frameworks and data-informed prioritization models designed to improve operational visibility across onboarding, support, and field operations.

Preventing silent operational failure

Defined in-app guidance and workflow enforcement opportunities to reduce incomplete inventory workflows, operational bottlenecks, and hidden compliance risk across the move lifecycle.

Operational Activation Strategy

An onboarding strategy built around operational readiness—not just account creation

I proposed a headless LMS and pre-login enablement system designed to:

  • Train users on Okta authentication before first login
  • Reduce onboarding confusion
  • Accelerate time-to-first-task
  • Decrease authentication-related support volume
  • Improve activation across operational roles

This created a clearer path from onboarding to operational readiness.

LMS-Training-Service Blueprint

Inventory Workflow Stabilization

Inventory workflows were redesigned around operational continuity

I mapped the downstream dependencies tied to inventory completion and identified where incomplete workflows disrupted transportation, delivery coordination, compliance documentation, and payment processing.

The proposed workflow strategy focused on:

  • Guided workflow completion
  • Operational reinforcement patterns
  • Role-based support moments
  • Workflow enforcement opportunities
  • Reduced operational lag across the move lifecycle
Packing Crew Onboarding DAP
DX Strategy Confluence Doc

The strategy transformed adoption from a training problem into an operational systems initiative—connecting onboarding, workflow completion, support reduction, and operational continuity into a measurable adoption framework.

The Impact

The Organization Finally Had Visibility Into The Real Problem

Within 90 days, the organization shifted from reactive support escalation to a measurable operational adoption strategy grounded in workflow visibility, onboarding diagnostics, and cross-platform operational dependencies.

For the first time, leadership had a clear view into where adoption was failing, how those failures impacted operational continuity, and which workflows carried the highest operational risk.

Operational Findings

14.2x

Authentication failure benchmark

Alert Icon
Alert Icon

42.45%

Users impacted by login and access friction

7.21x

Inventory workflow support volume above benchmark

Alert Icon

Projected Operational Improvements

84.5%

Projected onboarding-to-activation improvement

User Icon
Revenue Icon

68%+

Increase in move completions

Revenue Icon

$50K+

Estimated annual support reduction opportunity

By aligning customer behavior, messaging, and measurement, the business shifted from generating activity to generating revenue.

The organization finally had visibility into the operational failures disrupting adoption across the ecosystem.

But by the time the system-level issues were fully understood, the contract was already under significant operational strain.

Case Studies

My Expertise Delivers For:

Marketing & Growth

Customer Acquisition & Conversion

Journey Mapping & Funnel Optimization

CRM & Retention Strategy

Behavioral Segmentation & Personalization

Landing Page & Onboarding Optimization

Customer Research & Insight Generation

AI-Supported Content & Experience Strategy

Product & CX

UX & Digital Experience Strategy

Onboarding & Adoption Systems

DAP Strategy & Optimization

Service Blueprinting

Customer & Employee Experience

Behavioral Design & Usability Optimization

AI-supported Product & Support Experiences

Strategy & Transformation

Cross-functional Alignment

Experience Transformation Initiatives

Operational Experience Design

Customer Intelligence Systems

Support and Onboarding Optimization

Research-driven Decision-making

AI-supported Workflow and Systems Strategy

Let’s Build Better Systems for People

Arrow

© 2026 Beth Pavinich. All rights reserved.

All content, case studies, strategy frameworks, written materials, visuals, diagrams, concepts, and supporting artifacts featured on this site are the intellectual property of Beth Pavinich and may not be copied, reproduced, distributed, modified, adapted, republished, or used in whole or in part without prior written permission.

Many projects featured on this site were completed under non-disclosure agreements (NDAs). Company names, product names, proprietary information, metrics, workflows, and identifying details have been anonymized, generalized, or modified to protect client confidentiality while accurately representing the scope and nature of the work.

The organization believed users were failing

Adoption Failure Had Already Become Operational Risk

GovTech Case Study Background Image

Within 90 days, I identified the system failures driving low adoption and developed a strategy to stabilize operational workflows across a high-compliance SaaS platform.

ROLE

Digital Experience Strategy Lead (SME/IC Internal Lead)

OWNERSHIP

Cross-functional adoption, onboarding, and workflow strategy

///

///

///

Overview

AtlasMove developed a connected SaaS ecosystem supporting U.S. military relocation operations. The platform included a service member app for managing relocation details and tracking stored items, a logistics CRM used by Relay Operations Group (ROG) to coordinate approved moving vendors and compliance workflows, and a role-based mobile app used by packing, transportation, and delivery crews in the field.

GovMove - CRM Dashboard
GovMove - Packing Inventory Doc Screen
GovMove - Client Status Screen

The ecosystem operated under intense operational pressure.

The ecosystem operated under a high-pressure government contract that required ROG to scale military move operations nationwide by 2026.

At the time I joined, adoption across the platform was low, operational workflows were breaking down, and support volume was escalating across both service member and moving organization experiences.

The Problem

The Platform Was Growing Faster Than The System Supporting It

The issue wasn’t user resistance.

The ecosystem depended on thousands of distributed users completing operational workflows correctly across multiple connected applications.

But onboarding, identity, training, and workflow ownership were fragmented across teams.

No one had full visibility into where adoption was failing or how those failures impacted operational performance downstream.

At a glance, operations appeared active:

Support teams were responding to issues.

Training content existed.

New platform features were shipping.

Vendor onboarding continued scaling.

The system told a different story:

Authentication failures were suppressing adoption.

Critical workflows were being completed incorrectly.

Support volume was escalating across teams.

Operational breakdowns were creating compliance and contract risk.

The Reality

Multiple Systems. No Shared Visibility.

The ecosystem wasn’t failing in one place—it was failing across disconnected operational systems

Identity workflows were breaking across platforms

Support teams were responding without root-cause visibility

Training and onboarding was disconnected from operational workflows

Critical workflow failures hid inside fragmented reporting systems

Each team managed its own operational layer.

Each measured different signals.

No one had visibility across the full ecosystem.

The Diagnosis

The System Couldn’t Measure Where Adoption Was Failing.

I conducted a cross-platform operational audit to identify where onboarding, workflow completion, and adoption were breaking down across the ecosystem.

What I found was fragmented instrumentation, incomplete behavioral visibility, and disconnected reporting systems that prevented teams from understanding how operational failures were spreading across products.

Data Sources Included:

Product Adoption + Engagement

Gainsight PX, DataDog

LMS + Enablement

Northpass LMS

CRM + Workflow Analytics

GA4, Salesforce

Support + Operational Data

Knowledge Center analytics, support tickets, TTV reporting

Identity + Access Systems

Okta

This analysis revealed a critical disconnect.

Operational teams were making adoption decisions without complete workflow visibility across the platform ecosystem.

Critical workflows lacked:

  • Behavioral Instrumentation
  • Path Analysis
  • Cross-platform Reporting
  • Operational Failure Visibility

A key finding:

The organization had detailed support data but limited visibility into the behaviors creating those support issues.

The most actionable operational insights came from support escalation patterns rather than product analytics infrastructure.

This meant:

  • Critical workflows weren’t measurable
  • Operational failures spread silently across systems
  • Adoption issues were diagnosed reactively
  • Teams lacked shared visibility into user behavior

My findings were operationalized through cross-functional readiness reports, workflow diagnostics, support analysis, and adoption infrastructure recommendations used to realign onboarding, enablement, and product strategy priorities.

Support Case Analysis Slide
Slide Header
Analysis Findings Slide

The Insight

Two Workflow Failures Were Disrupting The Entire Ecosystem.

Support tickets revealed recurring operational breakdowns across onboarding, authentication, and inventory management.

But the real issue wasn’t isolated to usability friction—it was that critical operational workflows were failing at key dependency points across the ecosystem.

Workflow 01 | CRM Activation & Assignment

Authentication Failure Was Blocking Operational Activation

CRM coordinators frequently failed during Okta onboarding and first-login workflows.

When coordinators couldn’t access the CRM:

  • moving crews couldn’t be assigned
  • workflows stalled before activation
  • operational delays spread downstream
  • service members were left waiting without visibility

The issue wasn’t simply authentication friction. It was an operational dependency failure at the beginning of the move lifecycle.

CRM Workflow Slide

Workflow 02 | Packing Inventory

Inventory Failure Disrupted The Entire Move Lifecycle

Packing crews initiated the operational chain for every move.

But inventory workflows were highly complex, poorly supported, and vulnerable to incomplete task completion.

When inventory workflows failed:

  • transportation workflows stalled
  • delivery coordination broke down
  • compliance documentation became unreliable
  • payment timelines were delayed
  • support escalations surged

A single incomplete workflow could disrupt the entire relocation lifecycle.

Packing Workflow Slide

The Strategy

Rebuilding Adoption Around Operational Workflows

The strategy focused on stabilizing the operational workflows that directly impacted onboarding, move execution, support volume, and workflow continuity across the ecosystem.

Instead of treating onboarding, training, support, and in-app guidance as separate initiatives, I rebuilt the approach around measurable operational workflows tied directly to business outcomes and downstream operational dependencies.

Stabilizing Onboarding & Activation

I redesigned onboarding around role-specific activation paths, including a pre-login enablement experience built to reduce Okta authentication failure before first system access.

Prioritizing high-risk operational workflows

Mapped critical workflows across the ecosystem to identify where onboarding friction, incomplete tasks, and operational breakdowns were creating downstream delays and support escalation.

Rebuilding workflow visibility

Introduced workflow identification frameworks and data-informed prioritization models designed to improve operational visibility across onboarding, support, and field operations.

Preventing silent operational failure

Defined in-app guidance and workflow enforcement opportunities to reduce incomplete inventory workflows, operational bottlenecks, and hidden compliance risk across the move lifecycle.

Operational Activation Strategy

An onboarding strategy built around operational readiness—not just account creation

I proposed a headless LMS and pre-login enablement system designed to:

  • Train users on Okta authentication before first login
  • Reduce onboarding confusion
  • Accelerate time-to-first-task
  • Decrease authentication-related support volume
  • Improve activation across operational roles

This created a clearer path from onboarding to operational readiness.

LMS-Training-Service Blueprint

Inventory Workflow Stabilization

Inventory workflows were redesigned around operational continuity

I mapped the downstream dependencies tied to inventory completion and identified where incomplete workflows disrupted transportation, delivery coordination, compliance documentation, and payment processing.

The proposed workflow strategy focused on:

  • Guided workflow completion
  • Operational reinforcement patterns
  • Role-based support moments
  • Workflow enforcement opportunities
  • Reduced operational lag across the move lifecycle
Packing Crew Onboarding DAP
DX Strategy Confluence Doc

The strategy transformed adoption from a training problem into an operational systems initiative—connecting onboarding, workflow completion, support reduction, and operational continuity into a measurable adoption framework.

The Impact

The Organization Finally Had Visibility Into The Real Problem

Within 90 days, the organization shifted from reactive support escalation to a measurable operational adoption strategy grounded in workflow visibility, onboarding diagnostics, and cross-platform operational dependencies.

For the first time, leadership had a clear view into where adoption was failing, how those failures impacted operational continuity, and which workflows carried the highest operational risk.

Operational Findings

14.2x

Authentication failure benchmark

Alert Icon
Alert Icon

42.45%

Users impacted by login and access friction

7.21x

Inventory workflow support volume above benchmark

Alert Icon

Projected Operational Improvements

84.5%

Projected onboarding-to-activation improvement

User Icon
Revenue Icon

68%+

Increase in move completions

Revenue Icon

$50K+

Estimated annual support reduction opportunity

By aligning customer behavior, messaging, and measurement, the business shifted from generating activity to generating revenue.

The organization finally had visibility into the operational failures disrupting adoption across the ecosystem.

But by the time the system-level issues were fully understood, the contract was already under significant operational strain.

Case Studies

My Expertise Delivers For:

Marketing & Growth

Customer Acquisition & Conversion

Journey Mapping & Funnel Optimization

CRM & Retention Strategy

Behavioral Segmentation & Personalization

Landing Page & Onboarding Optimization

Customer Research & Insight Generation

AI-Supported Content & Experience Strategy

Product & CX

UX & Digital Experience Strategy

Onboarding & Adoption Systems

DAP Strategy & Optimization

Service Blueprinting

Customer & Employee Experience

Behavioral Design & Usability Optimization

AI-supported Product & Support Experiences

Strategy & Transformation

Cross-functional Alignment

Experience Transformation Initiatives

Operational Experience Design

Customer Intelligence Systems

Support and Onboarding Optimization

Research-driven Decision-making

AI-supported Workflow and Systems Strategy

Let’s Build Better Systems for People

Arrow

© 2026 Beth Pavinich. All rights reserved.

All content, case studies, strategy frameworks, written materials, visuals, diagrams, concepts, and supporting artifacts featured on this site are the intellectual property of Beth Pavinich and may not be copied, reproduced, distributed, modified, adapted, republished, or used in whole or in part without prior written permission.

Many projects featured on this site were completed under non-disclosure agreements (NDAs). Company names, product names, proprietary information, metrics, workflows, and identifying details have been anonymized, generalized, or modified to protect client confidentiality while accurately representing the scope and nature of the work.