BergLabs.
Application · Built on BergFlow and BergAuto

Vetting and staffing

The right people on the work, before it starts.

Quinn verifies skills and track record, then assembles the right specialist team before the queue goes live.

Start a pilot All applications
QuinnSource · Vet · Match · Assemble
Vetting · 4-point modelPod A · 6 seats
  1. Medical coderMatched to Pod AMatched
  2. QA reviewerDomain fit borderlineLead review
  3. AnnotatorNo open seat this weekBench

Source → Screen → Vet → Match → AssembleScores 0 to 100

Illustrative scores. Weights for each point of the model are set per programme.
  • Vet

    Skills and track record verified before work starts.

  • Match

    Capacity matched to the queue’s demand and SLA.

  • Assemble

    Pods with reviewers, QA leads and an escalation owner.

  • 4-pointVetting model: skill, track record, domain fit, quality history
  • 72 hTo a staffed team, typical
  • 1Bench, fully managed by BergLabs

Representative figures. Specialised domains can take longer to staff; timing is confirmed at scoping.

Seven applications, one operating loop

The family Quinn belongs to.

Every application writes to the same BergFlow record and runs its automated steps on BergAuto.

How it runs

From a demand forecast to a staffed pod.

Quinn treats staffing as part of the workflow, with the same records and review as the work itself.

  1. 01Source and screen

    Candidates come from the BergLabs network and partner channels, screened against the task, language and domain the queue needs.

  2. 02Vet and score

    Each specialist is scored on skill, verified track record, domain fit and quality history. Borderline cases go to a lead for review.

  3. 03Match to demand

    Scores are matched to the queue’s volume forecast, shifts and SLA, so capacity arrives before the work does.

  4. 04Assemble the team

    Specialists, reviewers, QA leads and an escalation owner are assembled into a pod with named responsibilities.

Capabilities

What Quinn manages behind every staffed team.

Six capabilities that keep the right people on the work.

  1. 01

    Skill scoring

    Task-specific tests scored against the rubric the queue will use.

  2. 02

    Track-record verification

    Past quality and reliability checked against BergFlow history, not self-reported.

  3. 03

    Capacity matching

    Forecast volume and shift patterns matched to available, vetted people.

  4. 04

    Team assembly

    Pods built with specialists, reviewers, QA leads and an escalation owner.

  5. 05

    Bench management

    A managed bench of vetted specialists, ready for ramp-ups and cover.

  6. 06

    Ramp planning

    Onboarding, calibration and golden-set checks planned before a queue goes live.

Key facts

Quinn at a glance

The essentials, as a structured record.

Built on
BergFlow for specialist records and quality history; BergAuto for screening and scoring
Roles staffed
Annotators, reviewers, QA leads, escalation owners and domain specialists
Vetting
4-point model: skill, track record, domain fit, quality history
Time to team
About 72 hours, typical
Specialist network
1,400+ trained specialists
Feeds
Charterr pods and Rosterr queues

Questions

Questions about Quinn

Vetting, timing and the bench.

Quinn

What is Quinn?

Quinn is BergLabs’ vetting and staffing application. It scores specialists on a 4-point model and assembles pods of specialists, reviewers, QA leads and escalation owners before a queue goes live.

How is a specialist vetted?

Each specialist is scored on skill, verified track record, domain fit and quality history. Borderline cases go to a lead for review before any match is made.

How fast can a team be staffed?

A typical team is staffed within about 72 hours of an agreed scope. Specialised domains, languages or security requirements can take longer.

Who manages the bench?

BergLabs does. Specialists on the bench keep their quality history in BergFlow, so a ramp-up starts from known performance.

Staff your next operation with vetted specialists.

Tell us the work, the volume and the quality bar. We come back with a staffing plan and a pod structure.

Start a pilot See managed operations