ApplicantStack connector

Use your ApplicantStack data for reporting, automation and AI.

Data Panda pulls your ApplicantStack jobs, candidates, applications, interview stages, offers and onboarding tasks into the same warehouse as your finance, scheduling and operations data. From one place we turn it into dashboards, automations, AI workflows and lightweight apps that hiring managers, HR, finance and store or branch operators read off the same numbers, instead of one report per requisition inside the ATS.

ApplicantStack
 Data Panda Reporting Automation AI Apps
ApplicantStack
About ApplicantStack

An ATS and onboarding suite for SMBs that hire hourly.

ApplicantStack is an applicant tracking and onboarding system aimed at small and mid-sized US employers that hire hourly workers, with a customer concentration in retail, hospitality, healthcare, food and beverage, manufacturing and construction. The product was built around two everyday SMB problems: posting one role to a dozen job boards from one screen, and walking a new hire through I-9, W-4 and policy paperwork without a stack of PDFs flying back and forth over email. Onboarding tasks, e-signatures and a branded new-hire portal sit alongside the recruiting pipeline, so the same record follows a person from application to first day on the floor.

The product was acquired by Swipeclock in January 2019 and folded into the Swipeclock workforce-management portfolio next to WorkforceHub and the TimeWorks scheduling and timekeeping tools. In May 2024, the UK accounting and payroll group IRIS Software Group acquired Swipeclock outright; ApplicantStack continues to operate under its own brand inside the IRIS HCM portfolio. The data model that lands in a warehouse is recognisable to any hiring team: jobs and requisitions, candidates and applications, configurable stages with timestamps, scorecards and prescreen answers, offers, and onboarding task lists with completion status. That is the surface a CFO, a regional ops director or an HR generalist needs to see hiring as something other than a screenshot taken out of the ATS once a week.

What your ApplicantStack data is for

What you get once ApplicantStack is connected.

Hiring and onboarding reporting

Time-to-fill, source quality and onboarding completion on one set of numbers, joined to scheduling, payroll and ninety-day retention.

  • Time-to-fill per location, role family and recruiter, with the stage where candidates drop off
  • Source-of-hire quality: applications, offers and ninety-day retention per channel, not just application volume
  • Onboarding completion: I-9, W-4 and policy tasks done before day one, per location and hiring manager

Process automation

Turn a stalled candidate, a signed offer or a missing onboarding task into the right downstream action across HR, payroll and store ops.

  • Signed offer in ApplicantStack creates the new hire in payroll and seeds the scheduling roster for the start date
  • Open shifts with no candidate in late stage trigger a re-post and a regional manager alert before the gap hits the floor
  • Overdue prescreen reviews and missing scorecards ping the responsible hiring manager in the right channel

AI workflows

Put the candidate timeline, prescreen answers and ninety-day outcomes behind AI that sees the full hourly-hiring picture.

  • Match scoring on open hourly roles against the existing ApplicantStack candidate pool, weighted by location and prior retention
  • Ninety-day attrition risk on new hires using prescreen patterns, source signal and onboarding completion history
  • Natural-language Q&A across applications, prescreen answers and the candidate timeline for hiring managers and HR

Custom apps on your data

Lightweight tools for store managers, HR, finance and recruiters that sit on ApplicantStack data instead of more SaaS subscriptions.

  • Store manager hiring view: open requisitions, candidates per stage, scorecards owed and offer status, scoped per location
  • Recruiter productivity board with applications, qualified shortlists, offers and ninety-day retained hires
  • Cost-per-hire tracker that mixes ApplicantStack offers with job-board spend, recruiter time and onboarding hours
Use cases

Use cases we deliver with ApplicantStack data.

A list of concrete reports, automations and AI features we have built on ApplicantStack data. Pick the one that matches your situation.

Time-to-fill reportingDays from requisition opened to first shift worked, per location, role family and recruiter.
Time-in-stage analysisHow long candidates sit per pipeline stage, with the stages where they consistently stall.
Pipeline funnel conversionApplication-to-prescreen-to-interview-to-offer conversion, per source, role and location.
Source-of-hire qualityApplications, offers and ninety-day retention per source channel, not just volume.
Prescreen knockout reviewKnockout questions ruling out candidates, with conversion impact per role and location.
Job-board spend ROISpend per job board reconciled against offers and ninety-day retained hires, not impressions.
Onboarding completionI-9, W-4 and policy tasks finished before day one, per location and hiring manager.
Open-requisition agingRequisitions open past their target start date, by location and regional manager.
Hiring manager turnaroundDays between candidate move and hiring manager response, per manager and location.
Offer acceptance and declineAcceptance rate, decline reasons and pay-rate deltas on declined offers.
Ninety-day retention by sourceHires retained ninety days out, attributed to the source and recruiter.
Cost-per-hire modellingRecruiter time, job-board spend and onboarding hours combined into a real cost-per-hire.
Real business questions

Answers you will finally get.

How long does it really take to fill an open shift role in ApplicantStack?

Time-to-fill from requisition opened to first shift worked, split per location, role family and recruiter, with the pipeline stage where candidates drop off and the average days spent in each stage. Regional managers see which locations quietly slip past four weeks for a baseline hourly role, instead of one funnel chart per requisition rebuilt by hand each Monday.

Which job boards produce the hires we still have ninety days in?

Applications, offers and ninety-day retention per source channel, not just application volume. The job board that ships a thousand applications but no probation survivors stops looking strong, and the niche channel that quietly produces the people who stay until the holiday rush reads as the priority it deserves.

Are new hires onboarded before their first shift?

Onboarding task completion across I-9, W-4, policy acknowledgements and e-signed documents, per location and hiring manager, with the percentage of hires that arrive on day one with paperwork closed. The shop that has thirty percent of new hires showing up with open tasks becomes a number on the regional ops dashboard, instead of a payroll surprise on Friday afternoon.

Value for everyone in the organisation

Where each function gets value.

For finance leaders

Cost-per-hire reconciled against the ledger: job-board subscriptions, recruiter time and onboarding hours joined to the offers and ninety-day survivors they produced. You see which locations are running over their hiring budget before the close, not after.

For sales leaders

Hourly hiring is rarely a sales team's worry, but where ApplicantStack covers customer-facing roles such as inside sales reps, account coordinators or store-floor leads, you see staffed coverage against open requisitions in time to flag a territory that will run thin before the next quarter starts.

For operations

Open requisitions, time-to-fill and onboarding readiness in one operating picture, scoped per location and region. The capacity plan stops being three exports stitched the morning of the regional call.

Ideas

What you can automate with ApplicantStack.

Pair with Slack

Push pipeline events into the right Slack channels

Stage changes, signed offers and overdue prescreen reviews in ApplicantStack drive the right Slack messages into the right places: a regional channel post when a location has no candidate in late stage for a hard-to-fill role, a manager DM when a prescreen review sits open past forty-eight hours, and a celebration post in the team channel when an offer is signed. Recruiters stop running a manual nudge round on Friday afternoon.

Pair with HiBob

Hand the new hire over to the HRIS without re-typing

A signed offer in ApplicantStack creates the employee record in HiBob with the agreed role, manager, location, start date and pay rate, and seeds the onboarding workflow there. The recruiter stops re-typing details into HiBob the morning the new colleague starts, and the candidate-to-employee timeline is one continuous record across both tools.

Pair with Calendly

Keep interview scheduling and pipeline stages in sync

Calendly bookings for screens and panel interviews create the corresponding events on the candidate timeline in ApplicantStack, with the right stage and reviewer attached. No-shows and reschedules update the time-in-stage clock automatically, so the funnel report reflects what really happened, not what was planned at the start of the week.

Pair with monday.com

Plan onboarding the day an offer is signed

A signed offer in ApplicantStack triggers the onboarding board in monday.com: uniform and badge requests, location-specific training assignments, buddy pairing and first-week shift plan, all keyed to the agreed start date. Store ops, HR and the hiring manager see the same checklist, and a slipped start date moves the dependent tasks instead of leaving them stranded.

Pair with HubSpot

Align customer-facing hiring with sales coverage

Open requisitions and signed offers in ApplicantStack for inside sales reps, account coordinators and store-floor leads keep the HubSpot coverage view in sync with the team that will be in seat next quarter, including ramp dates per new hire. Revenue leaders see when a region will slip below target coverage because a hire is two pipeline stages behind, weeks before the pipeline report flags it.

Pair with Exact Online

Reconcile recruitment spend against the ledger

Job-board subscriptions, recruiter expenses and onboarding-related invoices booked in Exact Online are matched to ApplicantStack requisitions, sources and signed offers, so cost-per-hire is a real number per location and role family rather than a quarterly estimate. Finance sees which locations are running over their hiring budget before the close, not in the post-mortem.

Your existing tools

Your data lands in a warehouse. Your BI tools read from it.

You keep the reporting tool you already have. We connect it to the warehouse where your ApplicantStack data lives.

Power BI logo
Power BI Microsoft
Microsoft Fabric logo
Fabric Microsoft
Snowflake logo
Snowflake Data warehouse
Google BigQuery logo
BigQuery Google
Tableau logo
Tableau Visualisation
Microsoft Excel logo
Excel Sheets & pivots
Three steps

From ApplicantStack to answers in three steps.

01

Connect securely

OAuth authentication. Read-only by default. We sign a DPA and your admin keeps the keys.

02

Land in your warehouse

Data flows into your warehouse on your schedule. Near real time or nightly, your call. You own the data.

03

Reporting, automation, AI

We build the first dashboard, workflow or AI feature with you, then hand over the keys. Or we stay on for ongoing delivery.

Two ways to work with us

Pick the track that fits how you work.

Track 01

Self-serve

We set up the foundation. Your team builds on top.

  • ApplicantStack connector configured and running
  • Warehouse set up in your cloud account
  • Clean access for your Power BI, Fabric or Tableau team
  • Documentation on what's in the data model
  • Sync monitoring so you're warned before reports break

Best fit Teams that already have a BI analyst or data engineer and want to own the build.

Track 02

Done for you

We build the whole thing, end to end.

  • Everything in Self-serve
  • Dashboards built to the questions your team actually asks
  • Automations between your systems
  • AI workflows scoped to real tasks your team runs
  • Custom apps where a dashboard does not cut it
  • Ongoing delivery at a pace that fits your team

Best fit Teams without in-house BI or dev capacity. You tell us what you need and we deliver it.

Before you book

Frequently asked questions.

Who owns the data?

You do. It lands in your warehouse, on your cloud account. We don't resell or aggregate it. If you stop working with us, the warehouse stays yours and keeps running.

How fresh is the data?

Near real time for most operational systems. For heavier sources we schedule hourly or nightly. You pick based on what the reports need.

Do I need a warehouse already?

No. If you don't have one, we help you pick one and set it up as part of the first delivery. Common starting points are Snowflake, Microsoft Fabric, or a small Postgres start.

Which ApplicantStack objects land in the warehouse?

The connector pulls jobs and requisitions, candidates, applications, prescreen answers, configurable stages with timestamps, scorecards, sources, offers, and onboarding tasks with completion status. That covers the reporting surface most hourly-hiring, finance and ops dashboards need, including time-to-fill, source-of-hire quality, prescreen knockout impact and onboarding completion before day one.

Can we slice the data per store, branch or region?

Yes. ApplicantStack lets you tag jobs and requisitions with location and hiring manager, and the warehouse model preserves that scope, so dashboards run per store, region or franchise tier without rebuilding the join each time. Regional ops sees the laggard locations, store managers see only their own pipeline, and HR keeps the rolled-up view.

Does the onboarding data flow far enough to keep payroll out of trouble?

I-9, W-4 and policy task completion per new hire is in the warehouse, joined to the agreed start date and the payroll record. The fail-state where a new colleague shows up on Monday with paperwork still open is a number on the regional dashboard before the shift starts, not a payroll surprise discovered after the first cycle.

GDPR-compliant
Data stays in the EU
You own the warehouse

A first deliverable live in four to six weeks.

We review your ApplicantStack setup and the systems around it. Together we pick the first thing worth building.

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