Torrid Case Study | Brian J Kinsley Consulting

When the Cart Can't Be Trusted

A targeted mobile session replay analysis for Torrid, combining behavioral observation with Voice-of-Customer data to diagnose why high-intent shoppers were abandoning their carts and losing confidence in the experience.

Client: Torrid

Engagement: ~20-Hour Replay Analysis

Role: Usability Analyst, Verint

Method: Session Replay + VoC Review

Platform: Verint Digital Behavior Analytics

Problem · Implication · Recommendation

A breakdown in reliability, not in intent

Torrid's mobile shoppers were motivated, they arrived with purchase intent. The data showed the problem wasn't confusion about how to shop. It was that core workflows kept failing underneath them.

Problem

Core shopping flows were unstable across mobile sessions

Mobile users encountered repeated failures in performance, login reliability, product discovery, and cart behavior, making the experience feel broken even for motivated buyers.

Implication

Reliability failures erode trust faster than usability gaps do

When fundamental actions like adding to cart or staying logged in break down, users don't just abandon the task, they lose confidence in the entire experience and are unlikely to return.

Recommendation

Pair replay analysis with VoC data to connect behavior to complaint

Targeted session replay review, anchored to real customer survey comments, allows the team to move past symptoms and identify the exact points where mobile shopping sessions collapse.

Project Background

Moving past symptoms to pinpoint exactly where sessions were failing

The client team came to this engagement knowing something was wrong with their mobile experience — customer complaints were consistent, and session data pointed to elevated abandonment. What they needed was a clear picture of where and why high-intent mobile sessions were breaking down.

Using Verint's Digital Behavior Analytics platform, the engagement was scoped around the most complaint-heavy areas of the mobile shopping journey. Rather than reviewing sessions broadly, the analysis was anchored from the start to real customer feedback, ensuring every replay reviewed was tied to a reported pain point, not a theoretical one.

The Problem

High-intent mobile shoppers were abandoning their carts and losing trust in the experience due to repeated failures in login, cart, and product discovery workflows.

The Goal

Move beyond reported symptoms to identify the exact behavioral breakpoints causing mobile session failure, with evidence stakeholders could act on immediately.

My Role

Sole usability analyst on the engagement. Responsible for replay review, VoC synthesis, findings development, and co-presenting results to the client team during a live stakeholder session.

Constraints

~20-hour engagement focused exclusively on mobile web. Findings needed to be evidence-backed and immediately actionable for a cross-functional client audience.

Methodology

Survey feedback first — then behavioral confirmation

The analysis began with a structured review of open-ended customer survey comments to identify recurring pain point themes. These complaints were then used to guide the selection of session replays for review, ensuring the behavioral analysis stayed anchored to real user frustrations rather than drifting toward edge cases.

Pairing VoC feedback with session replay observation allowed for something surveys alone cannot provide: the ability to see exactly what users were doing at the moment they encountered a problem. This closed the gap between reported experience and actual behavior, and gave every finding a dual layer of evidence.

Replay clips were selected and tagged throughout the process to support stakeholder presentation, enabling the team to demonstrate each issue visually rather than describing it in abstract terms.

2 Complementary data sources, session replay and VoC survey feedback, combined for behavior-backed findings

6 Mobile workflow areas reviewed, all scoped to the highest-complaint paths in the shopping journey

5 Distinct usability themes identified, each supported by replay evidence and customer complaint data

20h Fixed engagement delivered with actionable findings, replay clips, and a live stakeholder presentation

Evaluation Scope

Every area reviewed was tied to a reported customer complaint

The scope was deliberately bounded to the mobile web workflows where users had the highest intent and where the friction was most reported. By anchoring scope to complaint data, the analysis avoided wasted coverage and stayed focused on what actually mattered to real customers.

Search & Product Listing Pages

Product Discovery & Filtering

Wishlist Interactions

Shopping Bag / Cart Behavior

Checkout Attempts

Key Insights

Three patterns that reframed how we understood the problem

Before presenting individual findings, the analysis surfaced three cross-cutting insights that shaped how the recommendations were framed and prioritized.

01 Reliability failures, not confusion

Most issues were not caused by unclear design. Users knew what they were trying to do, they were stopped by interruptions they couldn't control or recover from.

02 Session continuity is a trust signal

Login drops and cart instability during high-intent sessions had outsized impact on abandonment, small disruptions at critical moments broke the experience disproportionately.

03 VoC + replay is more than the sum of its parts

Survey feedback identified the pain. Replay confirmed it. Together, they enabled findings that were both emotionally resonant and behaviorally verifiable.

Key Findings

Five workflow areas where mobile sessions were breaking down

Each finding was supported by replay clips and mapped to customer complaints, giving stakeholders both the behavioral evidence and the human context behind each issue.

Site performance degraded the experience before shoppers could engage

Product images intermittently failed to load on search and listing pages. Some screens were slow to respond or did not register scroll input, creating the impression of a broken site before users reached the product level.

→ Strengthen image loading reliability across listing and search pages

Users were logged out mid-session or repeatedly prompted to re-authenticate while interacting with wishlists or proceeding through checkout, directly blocking purchase completion at the most critical moment.

→ Improve session persistence to reduce repeated authentication prompts

Cart behavior was unpredictable and items were lost

Items occasionally failed to add to the shopping bag, disappeared after being added, or were lost when login interruptions occurred, eroding user confidence in the reliability of the cart as a persistent workspace.

→ Stabilize cart so items remain visible and recoverable across sessions

Search and filtering returned inconsistent results

Search results sometimes surfaced products that did not match active filter selections. Filter controls behaved unpredictably, and product availability information varied depending on how users navigated to a page.

→ Align search results with filtering logic for consistent discovery

Search input lacked the visual affordance of a primary entry point

The search field was not visually prominent enough to be recognized as the primary product discovery tool on mobile, causing users to miss their fastest path to the products they were looking for.

→ Improve visual affordance of the search input field on mobile

Delivery & Presentation

Replay clips turned abstract findings into shared understanding

Findings were presented during a live review session alongside the data analyst and customer service lead, bringing together behavioral, quantitative, and support-side perspectives in a single working session. This cross-functional audience meant findings needed to resonate at multiple levels: technically specific enough for the development team, but grounded in user impact for the broader stakeholder group.

Session replay clips were used throughout the presentation to demonstrate each usability issue directly, rather than relying on written descriptions alone. Showing a cart item disappear or a login prompt firing mid-checkout, created immediate alignment on severity in a way that no summary slide could replicate. This format helped the team rapidly prioritize which issues required the most urgent attention.

Outcomes

Findings were acted on and the methodology was validated

Several issues identified in the analysis were addressed following the presentation, including fixes related to horizontal scrolling behavior and image loading reliability. While not all issues were resolved in a single sprint, the findings were well received and used to guide a broader set of improvements to the mobile shopping experience.

📱Mobile Stability Improvements

Image reliability and scrolling behavior were corrected following the engagement, directly addressing two of the most visually disruptive issues surfaced in replay review.

📋Prioritized Roadmap Input

The full findings set served as a structured reference for continued improvements, with replay evidence enabling the team to triage and sequence fixes by user impact.

🤝Cross-Functional Alignment

The live session brought together analysts, data leads, and customer service, creating shared understanding of where the mobile experience was failing and why it mattered.

Strategic Takeaway

Users don't abandon because they're confused — they abandon because they stop trusting the experience. Identifying reliability failures early, and showing them rather than just reporting them, is what moves stakeholders to act.

Core principle applied throughout this engagement

The most durable insight from this project was methodological: pairing Voice-of-Customer feedback with behavioral session replay creates a category of evidence that neither source can produce alone. Survey data explains what users felt. Replay data shows what actually happened. Together, they give stakeholders the full picture and give recommendations the credibility they need to be acted on.

Torrid · Mobile eCommerce Session Replay Analysis · Verint

Session Replay AnalysisVoice of CustomerMobile UXeCommerceBehavioral Analytics