2 posts tagged with "traceability"

• Which bugs are slowing down your checkout flow?
• Are there localization issues in onboarding causing drop-off?

Most QA setups fall short of answering such questions that matter to the business.

The Gap Between QA and Business Impact​

Traditional QA workflows surface issues --- broken buttons, layout glitches, validation errors, performance slowdowns. But when leadership asks:

• How is this affecting conversion?
• Is onboarding friction hurting activation?
• Which workflow is most at risk?

The connection between bugs and business outcomes is often missed entirely - resulting in QA being perceived as a cost center, than what it really is - revenue protection.

That's the gap we're addressing today by adding UX bug traceability to our QA intelligence layer.

Guided Exploration, Not Random Crawling​

Our secret sauce: Our exploratory agents don't wander randomly.

They use your existing automation tests as guides. Because tests are already linked to scenarios (via structured code comments), that same traceability naturally extends to exploratory runs and their findings.

This means every discovered issue can be traced back to:

• The scenario
• The user story
• The business objective behind it

Exploration becomes business-contextual --- not isolated.

Structured for Insight at Any Level​

In TestChimp, user stories are organized in nested folders. That structure becomes powerful when paired with traceable exploratory results.

Insights roll up automatically:

• By area of the application
• By workflow
• By product surface
• By team ownership

You can zoom in to a single scenario or zoom out to understand impact across an entire product area.

Beyond a Floating Bug List​

Instead of maintaining a detached list of issues, you gain visibility into:

• Which flows are degrading user experience
• Which exact bugs are causing latency in key user journeys - that mater to your revenue
• Where UX friction is tied to user retention

It's no longer just about "bugs found."

It's about translating them understanding what is hurting your revenue --- and prioritizing accordingly.

Q: How do you currently get requirement traceability?
Which user stories and scenarios are covered by tests, and what’s failing?

A:
For most teams, it looks something like this:

User stories live in Jira.
Test cases live somewhere else.
The mapping between them lives in an Excel sheet that someone manually maintains.

That spreadsheet is periodically uploaded to a test management tool like PractiTest. Then test execution results are pushed via an API to get a view of coverage and failures.

It works—until it doesn’t.

The problem with today’s approach​

This is how requirement traceability is typically achieved today: a hodgepodge of tools stitched together with process and hope.

• Multiple sources of truth
• Manually maintained spreadsheets that inevitably go stale
• Fragile workflows that break as teams and test suites scale

No single system actually owns the full picture. Instead, teams spend time keeping artifacts in sync rather than improving product quality.

A simpler model with TestChimp​

In TestChimp, requirement traceability isn’t an afterthought. It’s built in.

You already author detailed user stories and break them down into meaningful test scenarios directly in the platform - with AI assistance that understands your product through your existing test scripts and documentation.

Linking tests to those scenarios is intentionally simple. In your test script, add a comment:

// @Scenario: <scenario title>

That’s it! TestChimp takes care of the rest:

• Automatically links tests to scenarios
• Tracks execution results across runs
• Aggregates outcomes at scenario, story, and suite level

You get clear, real-time dashboards that let you answer business relevant questions:

• Which user stories are missing test coverage?
• Which scenarios are currently failing?
• Which tests are flaky or unstable?

All without juggling multiple tools or maintaining brittle Excel sheets.

⸻

One system, end to end​

Instead of retrofitting traceability after the fact, TestChimp treats it as a first-class concept - connecting requirements, scenarios, and executions in one place.

• No spreadsheets.
• No manual syncing.
• Just a single system that understands what you’re building, how it’s tested, and where the gaps are.