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Company focus

Workiva

What factors are contributing to the increased error rate in Workiva's XBRL tagging functionality during the latest quarterly filing period?

Prepared by NextSprints

15 mins
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Problem Solving Data Analysis Technical Understanding Financial Technology Regulatory Compliance Enterprise Software Root Cause Analysis Compliance Data Accuracy Financial Software XBRL
Product Management Root Cause Analysis Question: Investigating increased error rates in financial reporting software

Introduction

The increased error rate in Workiva's XBRL tagging functionality during the latest quarterly filing period is a critical issue that demands immediate attention. As we analyze this product problem, we'll follow a systematic framework to identify, validate, and address the root cause while considering both immediate and long-term implications.

I'll approach this issue by first clarifying the context, then ruling out external factors before diving deep into the product ecosystem, metric breakdown, and data analysis. We'll generate hypotheses, conduct root cause analysis, and propose validation methods and solutions.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking this might be related to recent changes. Have there been any significant updates to the XBRL tagging system in the past quarter?

Why it matters: Recent changes often correlate with performance issues. Expected answer: Yes, there was a major update. Impact on approach: If yes, we'd focus on change management and regression testing.

  • Considering user segments, I'm curious about the distribution of errors. Are we seeing this increased error rate across all client types, or is it concentrated in specific industries or company sizes?

Why it matters: Helps identify if the issue is systemic or segment-specific. Expected answer: The issue is more prevalent in certain industries. Impact on approach: If concentrated, we'd investigate industry-specific XBRL requirements.

  • Thinking about the error patterns, I'm wondering about the nature of these errors. Are we seeing new types of errors, or is it an increase in previously known error types?

Why it matters: Distinguishes between new issues and exacerbation of existing problems. Expected answer: A mix of both new and existing error types. Impact on approach: If new errors, we'd focus on recent changes; if existing, we'd look at scalability issues.

  • Considering external factors, I'm curious about regulatory changes. Have there been any recent updates to XBRL standards or SEC filing requirements that might impact our tagging process?

Why it matters: Regulatory changes can significantly affect XBRL tagging accuracy. Expected answer: Some minor updates to XBRL standards were released. Impact on approach: If yes, we'd investigate our adaptation to these new standards.

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NextSprints

Updated Jan 22, 2025