HR
Dana
Talent Sourcing & Screening

Application collection

Keep applications together by vacancy.

Workflow scoped to your process
Discuss Application collection
The problem
  • Applications for one vacancy are scattered across sources and repeated.
Dana
How it works

Example paths: the agreed action or human review. This diagram does not run on your live data.

resume-register.workflow
live
OKReview2xApplication · CVInput data2xRead resumeWorkflow rulesDuplicateapplication?2xUpdate candidateAfter validation2xCandidate listPermitted action2xHuman reviewException or refusal2xApprovedreferenceReference source
How it works
  1. 01Input: Application · CV.
  2. 02Resumes from approved sources enter a list; duplicate applications are merged.
  3. 03Output to verify: Candidate list.
  4. 04Exceptions go to staff; permitted actions are agreed before launch.
What we verify at launch
  • ✓Applications are grouped by vacancy without duplicate candidate records.
  • ✓We check repeated processing and connection failures using agreed examples.
Possible connections — agreed before implementation
gmailgoogle-sheetsgoogle-calendar
Workflow example

An illustration of the logic, not a customer case. Connections and results are agreed before implementation.

Input

Application · CV

Expected output

Applications are grouped by vacancy without duplicate candidate records.

FAQ

What inputs do we need?

We need an example of “Application · CV”, processing rules and an owner for “Candidate list”. Access is requested after connections are agreed.

What happens if data is missing or an error occurs?

We check “Duplicate application?”. Exceptions go to staff; permitted actions are agreed before launch.

How is the result accepted?

Applications are grouped by vacancy without duplicate candidate records.

How long does implementation take?

Scope, price and timing are defined after checking systems, access and exceptions. This page describes a possible workflow, not a ready connection to your data.