Enterprise tool · UX/Product Design
Making a high-volume research workflow easier to navigate and trust
Making a high-volume research workflow easier to navigate and trust.
- Search UX
- Batch Workflows
- Dense Data
The job to be doneImprove search and results.
The friction often happened before and after search itself.
Design the workflow, not the query box
- My role
- UX and product design for a dense, high-volume enterprise workflow.
- Scope
- Enterprise tool · search, batch workflows, dense data
- Context
- Supporting / rotating featured · Enterprise tool · UX/Product Design
01 — THE SITUATION
Where the work started.
Analysts needed to conduct consequential research using both individual and high-volume batch searches.
Context
The work included upload, validation, results review, rerunning, exporting, printing, and account management.
Constraints
The experience needed to support repeated work without hiding important detail.
03 — THE REFRAME
The request was the starting point, not the problem.
Improve search and results.
Analysts needed to conduct consequential research using both individual and high-volume batch searches.
Improve the full analyst workflow around preparing, validating, reviewing, repeating, and acting on research — not only the query box.
02 — Understanding the system
Understanding the system
Seeing the system clearly
- The end-to-end analyst workflow: prepare, upload, validate, search, review, act, repeat.
- Single-search and batch paths, which have genuinely different needs.
- CSV upload and validation states, including partial failure.
- Result review and the downstream actions findings feed into.
Design the workflow, not the query box
04 — PRODUCT DIRECTION
What that meant for the product
Each insight translated into a clearer product decision.
The friction often happened before and after search itself.
Design around the analyst job-to-be-done rather than isolated pages.
Batch work introduced validation and error-recovery needs that single search did not.
Support clear modes for individual and batch work.
Dense information needed hierarchy, not simplification that removed useful detail.
Make validation states actionable.
Repeated actions had to be efficient and predictable.
Create consistent result-review patterns and repeat actions.
05 — DESIGNING THE EXPERIENCE
Designing the experience
These product decisions became the structure of the experience.
- 01Single searchThe fast path for one consequential lookup.
- 02Batch uploadPreparing and submitting high-volume research with confidence.
- 03Validation and errorsProblems surfaced before analysts commit to processing.
- 04Results and filteringDense results with hierarchy, filters, and review state.
- 05Result detailEnough provenance to trust and defend a finding.
- 06Rerun, export, and printMoving findings into other work products.
06 — DECISIONS & OUTCOME
Key decisions
The product direction came from a few clear commitments about how the system should work.
Treat batch as a distinct workflow
Bulk research is not a scaled-up single search; preparation and error handling differ.
Surface validation before processing
Analysts should not discover input problems after a long-running job.
Preserve density, improve hierarchy
Simplification that removed required detail would have made the tool unusable.
Make repeated actions easy to reuse
The same actions happen dozens of times a day and should be predictable.
The result
What changed
A clearer end-to-end analyst workflow.
More coherent patterns across individual and batch work.
An enterprise UX story that demonstrates comfort with consequential, data-heavy tools.
Search is rarely just search. Understanding what people do before the query and after the results is what turns a feature into a usable workflow.
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