Your customers are solving problems you didn't know existed. They're exporting data to spreadsheets, building Zapier automations, copy-pasting between tabs, and creating elaborate processes—all because your product doesn't quite do what they need.
These workarounds are gold. They're unfiltered signals pointing directly to product gaps.
Yet most product teams miss them entirely. They wait for feature requests, analyze NPS scores, and monitor support tickets—while the most valuable insights hide in plain sight: the creative hacks customers build to get their jobs done.
TL;DR: Key Takeaways
- Workarounds reveal unmet needs that customers often can't articulate in feedback surveys
- Look for patterns in support conversations, user sessions, and integration usage
- Not all workarounds are equal—prioritize by frequency, effort, and strategic fit
- Interview workaround users to understand the underlying job-to-be-done
- AI tools like Pelin can surface workaround patterns across thousands of feedback touchpoints
Why Workarounds Matter More Than Feature Requests
When customers request features, they're often describing solutions. When they build workarounds, they're revealing problems.
This distinction matters. Research from the Nielsen Norman Group has long shown that users struggle to articulate what they need—they're better at showing you through their behavior.
Consider this scenario: A customer asks for "better reporting." Vague. Hard to prioritize. But if you discover that 40% of your users are exporting data to Google Sheets every Monday morning to build their own dashboards, you've found something specific:
- The job: Creating weekly stakeholder reports
- The gap: Your built-in reporting doesn't support the customization or format they need
- The opportunity: A reporting feature designed around their actual workflow
Workarounds bypass the "solution bias" problem. Customers aren't telling you what to build—they're showing you what's missing.
The Five Types of Customer Workarounds
Not all workarounds are created equal. Understanding the type helps you prioritize:
1. Export-and-Process Workarounds
Customers extract data from your product to manipulate it elsewhere.
Signs to look for:
- High CSV/Excel export usage
- Integration requests for BI tools
- Support questions about data formats
Example: A 2023 study by Productboard found that product teams miss 60% of customer feedback because it's fragmented across tools—much of which ends up in spreadsheets for manual analysis.
2. Integration-Based Workarounds
Customers connect your product to other tools to fill gaps.
Signs to look for:
- Heavy Zapier/Make automation usage
- API usage patterns that suggest repetitive tasks
- Requests for specific third-party integrations
What it tells you: Your product doesn't complete the workflow. Customers are bridging the gap themselves.
3. Process Workarounds
Teams create manual processes to compensate for missing features.
Signs to look for:
- Detailed internal documentation about "how to use [your product]"
- Recurring support questions about the same workflow
- Customers describing multi-step processes in interviews
Example: Support team creates a shared spreadsheet to track which customers mentioned which feature requests because your feedback tool doesn't connect the dots.
4. UI Hacks
Customers use features in unintended ways.
Signs to look for:
- Creative use of tags, labels, or custom fields
- Unusual naming conventions
- High usage of "notes" or "description" fields with structured data
What it tells you: Your data model doesn't match their mental model.
5. Social Workarounds
Customers rely on human intervention instead of the product.
Signs to look for:
- High volume of similar support requests that should be self-serve
- Customers asking account managers for help with routine tasks
- Community forum posts explaining how to accomplish basic goals
How to Surface Workarounds: A Practical Framework
Finding workarounds requires looking beyond traditional feedback channels. Here's a systematic approach:
Step 1: Mine Your Support Conversations
Support tickets are a treasure trove of workaround signals. Look for phrases like:
- "What I usually do is..."
- "As a workaround, I've been..."
- "Is there a way to avoid having to..."
- "I ended up using [other tool] to..."
According to Gartner, 70% of customer journeys include a support interaction—making it one of the richest sources of behavioral data.
Pro tip: Use AI-powered tools to analyze support conversations at scale. Manually reviewing every ticket isn't feasible, but pattern detection across thousands of conversations can surface trends you'd otherwise miss.
Step 2: Analyze Integration and Export Data
Pull usage data on:
- Export frequency: Which data do customers extract most?
- Integration usage: What automations are customers building?
- API calls: What endpoints are hit repeatedly in automated workflows?
High-frequency exports or integrations often indicate a product gap being solved externally.
Step 3: Watch User Sessions
Session recordings reveal workarounds that customers never report:
- Repeated sequences of clicks that suggest a missing shortcut
- Tab-switching to reference external documents
- Copy-paste patterns between your product and other tools
Research from Baymard Institute on e-commerce UX found that observing actual user behavior surfaces 40% more usability issues than user-reported feedback.
Step 4: Ask Better Interview Questions
When talking to customers, don't just ask about their experience with your product. Ask about their entire workflow:
- "Walk me through how you accomplish [job] from start to finish"
- "What other tools are involved in this process?"
- "Is there anything you have to do manually that you wish was automatic?"
- "What did you do before you started using our product for this?"
The workarounds often appear in the gaps between your product and the rest of their workflow.
Step 5: Monitor Community and Forums
Power users share workarounds publicly:
- Reddit threads about your product
- Community Slack channels
- Stack Overflow (for developer tools)
- YouTube tutorials showing "how to" accomplish tasks
These public workarounds are often more detailed than anything you'd hear in a feedback survey.
Prioritizing Which Workarounds to Address
You'll find more workarounds than you can possibly address. Here's how to prioritize:
The Workaround Scoring Matrix
Score each workaround on four dimensions:
| Factor | Question | Score 1-5 |
|---|---|---|
| Frequency | How many customers use this workaround? | |
| Effort | How much time/friction does the workaround create? | |
| Impact | How critical is the underlying job to customer success? | |
| Fit | Does solving this align with your product strategy? |
High frequency + high effort + high impact + good fit = Top priority feature opportunity.
Watch for Churn Signals
Some workarounds are predictive of churn. Research published in the Harvard Business Review shows that reducing customer effort is one of the strongest drivers of retention.
If customers maintain elaborate workarounds for core jobs, their patience has a limit. Eventually, a competitor that solves the problem natively will win them over.
Validate Before Building
A workaround signal isn't automatic justification for a feature. Before committing resources:
- Quantify: How widespread is this workaround really?
- Interview: Talk to 5-10 customers using the workaround
- Prototype: Test a solution before full investment
- Measure alternatives: Would documentation or better defaults solve it?
Turning Workaround Insights Into Action
Once you've identified high-priority workarounds, here's how to operationalize the insight:
Create a Workaround Repository
Document workarounds systematically:
- Description: What are customers doing?
- Job-to-be-done: What are they trying to accomplish?
- Frequency: How often does this appear?
- Customer quotes: Verbatim examples
- Proposed solutions: Ideas for addressing it
This becomes a living source of product opportunities, separate from your feature request backlog.
Connect Workarounds to Outcomes
Frame workaround-based features around business impact:
- "Customers spending 4+ hours/week on manual exports could save 90% of that time with native reporting"
- "Integration workarounds involve 3 paid tools; a native solution consolidates their stack"
This language resonates with stakeholders and justifies prioritization.
Close the Loop
When you ship a feature that addresses a workaround:
- Reach out to customers you know were affected
- Document the before/after in case studies
- Update your workaround repository
- Monitor adoption of the new feature
How AI Accelerates Workaround Analysis
Manually surfacing workarounds is labor-intensive. You'd need to:
- Review thousands of support conversations
- Watch hours of session recordings
- Conduct dozens of customer interviews
- Monitor community channels continuously
This is where AI-powered tools like Pelin transform the process.
Pelin automatically surfaces workaround patterns by analyzing feedback across all your channels—support tickets, sales calls, NPS responses, reviews, and more. Instead of manually hunting for signals, you get:
- Clusters of feedback indicating the same underlying workaround
- Verbatim quotes you can use in stakeholder conversations
- Quantified prevalence across your customer base
- Connections between workarounds and customer segments
What used to take weeks of manual analysis happens in minutes.
Real-World Example: From Workaround to Feature
Consider how a B2B SaaS company might discover a hidden product gap:
The signal: Customer success notices that several enterprise customers have built elaborate Zapier automations to push product usage data into Salesforce.
The analysis: Reviewing the automations reveals that customers are trying to give their sales team visibility into which features are being used before renewal conversations.
The validation: Interviews confirm that 8 of 10 enterprise customers have some version of this workflow—either automated or manual.
The insight: The job isn't "integrate with Salesforce." The job is "arm sales with product usage context for expansion conversations."
The solution: A native "customer health snapshot" feature that sales can access without leaving their CRM—solving the underlying job, not just the surface request.
This outcome only emerges from analyzing the workaround, not from reading the feature request ("please add Salesforce integration").
Start Finding Workarounds Today
Here's a 30-minute exercise to get started:
- Pull 20 recent support tickets where customers described a multi-step process
- Look for phrases like "what I usually do," "as a workaround," or "I ended up"
- List the jobs customers are trying to accomplish
- Note the gaps between what they need and what your product provides
- Pick one to validate through customer interviews this week
Workarounds are everywhere. The only question is whether you're paying attention.
The Competitive Advantage of Workaround Awareness
Products that evolve based on observed behavior—not just requested features—compound their fit with customer needs over time. Each workaround you address removes friction. Each removed friction increases stickiness.
Your competitors are waiting for feature requests. You can be listening to what customers actually do.
The hacks and workarounds your customers build today are tomorrow's roadmap—if you know how to find them.