UpGig: from a stalled app to an employer workflow.

The starting point

UpGig came to us with a platform that was not working and a short deadline. The founder needed it rebuilt, with a new stack, a new architecture and an AI engine that worked.

What TDAT built

A full rebuild: bulk resume processing with seven-dimension AI scoring, a drag-to-stage hiring pipeline, AI-conducted phone screens over a real phone number with per-question scoring, AI-generated candidate emails, branded careers pages, and a job ingestion pipeline for bringing listings into the product.

The decision: build around the employer’s job

A candidate-facing app alone did not cover the employer’s daily hiring work. The product expanded to support candidate access, resume review, a hiring pipeline and screening. Before adding features to a stalled product, identify the business task that makes it useful.

One feature: AI-assisted phone screening

The phone screening workflow gathers candidate responses and produces per-question scoring for the hiring team. The screening record is attached to the candidate, so the team can review it and decide the next step.

A screening score supports human review, and the hiring decision stays with a person. For a similar build, the scope must define permitted questions, consent, incomplete calls, review authority and retention.

What we took from it

• Inspect the complete user journey before judging progress from a demo.
• Connect the rebuild to the business offer and the people who will use it.
• Give automated conversations a reviewable record, owner and recovery path.
• Report a shipped capability separately from paying customers and revenue.