Case Study
Bluetail
Rethinking aircraft records management to cut a 6-hour import workflow down to under 2.
Role
Lead Product Designer
Timeline
8 months
Domain
Aviation / B2B SaaS
Background
Bluetail builds software for the aviation industry — specifically the legally critical world of aircraft records management. Every aircraft carries a paper trail: maintenance logs, airworthiness directives, service bulletins, and component histories. For decades, this documentation lived in filing cabinets and banker's boxes.
The platform digitizes these records, making them searchable, auditable, and transferable during aircraft transactions. Core users are records managers at MROs and compliance teams at regional airlines and leasing companies.
Challenge
The platform had product-market fit, but the records import workflow was a serious bottleneck. A single aircraft import required a records manager to manually tag hundreds of PDFs — document type, tail number, ATA chapter, compliance reference — one at a time. A typical aircraft package took 6–8 hours.
Session recordings showed users spreading the work across multiple days because it was too draining to complete in one sitting. Support tickets related to the upload flow made up 34% of all tickets in Q2.
Key Findings
The system treated expert users like beginners
Customer interviews (n=7) surfaced a consistent phrase: “I know what these documents are the moment I see them.” Records managers could identify document types from a header or form number — yet the system required typing every field from scratch with no memory between uploads.
The linear flow made bulk work structurally impossible
A task analysis of a routine 50-document import mapped 550 discrete interactions. There was no way to apply shared metadata across a selection — every document required a full form. The bulk use case was the primary use case, and the product didn't support it.
Key Results
Import time per aircraft
6.2 hrs → 2.1 hrs
66% reduction
Support tickets (upload)
34% of volume → 11%
68% reduction
Tagging errors per quarter
4.1 → 0.7 avg
83% reduction
Onboarding time
3 days → 1 day
67% reduction