A mastersheet that updates itself every day

Every day you spend 1-3 hours running VLOOKUPs to merge three systems into one sheet. When you're on leave, it doesn't get updated.

Regional online marketplace · SG and HKBuilt in-house by our founder
3data sources joined automatically
0VLOOKUPs run by people
Dailyautomatic update
In their shoes · The ops person who owns the mastersheet

Before and after.

Account records lived in the CRM, campaign data in another sheet and the merchant list in a third, and none of them connected. Someone rebuilt a merged mastersheet by hand for 1-3 hours a day, it was always slightly out of date, and it stopped when that person was on leave.

  • 1-3 hours of VLOOKUPs every day
  • Always slightly out of date
  • Only one person knows how it works
How it works

What we built, step by step.

Step 1

Load all three sources

Campaign data, CRM records and the merchant list are loaded together at the start of every run.

Step 2

Merge with clear rules

Each field has an owner. Campaign data wins for contacts, the CRM wins for package and dates, and the merchant list fills gaps.

Step 3

Write only what changed

Rows are compared before writing, only changes go in, 50 at a time, and protected columns like notes are never touched.

3data sources joined automatically
0VLOOKUPs run by people
Dailyautomatic update
The full story

From busywork to running on its own.

The problem

Account records lived in the CRM, campaign data in another sheet and the merchant list in a third, and none of them connected. Someone rebuilt a merged mastersheet by hand for 1-3 hours a day, it was always slightly out of date, and it stopped when that person was on leave.

What we built

We built a scheduled workflow that loads all three sources at once and merges them by user ID, with clear rules on which source wins for each field. Before writing, it compares each row with the current sheet, updates only rows that changed in batches of 50, and never touches protected columns like notes.

What changed

The mastersheet updates itself, so nobody runs VLOOKUPs. Data is as fresh as the last run, manual notes survive every update, and the sheet no longer depends on one person.

Built withn8nGoogle SheetsSalesforce

Built in-house by our founder, before or alongside Workchestra. Names and numbers in the screens are samples; the results are real.

Want this for your team?

A free 20-minute call with the founder. We will tell you honestly if it is worth automating.

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Case studies

Keep exploring the work.

18 case studies from real teams. Each one started with a team doing the same task by hand, every day.

Case study 01Workchestra client

More than 1,200 candidates are routed and traceable from first contact to orientation, with nothing retyped by hand.

Philippine manpower agencyRecruiters and the agency's management1,200+candidates routed and tracked
Case study 02Workchestra client

Management can compare any period, refreshed every hour, while the operations team keeps the same workbook.

Philippine manpower agencyManagement at a manpower agencyHourlyrefresh, fully unattended
Case study 03

Response time dropped from hours to under 60 seconds, with no manual data entry.

Regional online marketplaceAccount managers and their sales lead< 60 sfrom ad form to CRM record
Case study 04

Every thread, meeting and client session now has one source of truth.

US executive coaching firmA CEO and his executive assistant3ranked time slots per request
Case study 05

802 at-risk accounts, 35% of the 2,267 in scope, got a timely personal message in a single run.

Regional online marketplaceAccount managers with hundreds of accounts802at-risk accounts messaged in one run
Case study 06

Research that took 20-30 minutes now finishes in under 2 minutes.

Regional online marketplaceAccount managers preparing for first calls< 2 minto research one company
Case study 07

Decisions take seconds because each card carries its own context, so anyone on the team can act.

US executive coaching firmThe CEO's team reviewing AI workHourlyAI runs reviewed in one place
Case study 08

3.04 TB and 36,118 files moved, preserving about seven years of client history in the firm's own storage.

US executive coaching firmA firm with years of session recordings3.04 TBmigrated end to end
Case study 09

Every lead gets an instant reply, at 2 PM or 2 AM.

Regional online marketplaceSales reps and account managers5qualifying questions asked automatically
Case study 10

Nobody pulls report data by hand anymore, and the team saves 8-10 hours a week.

Regional online marketplaceA marketing team running ads in two markets0manual data pulls
Case study 12

Coaches get overviews the same day and can turn one into a client email draft with a single button, now rolled out to every coach.

US executive coaching firmCoaches following up after client sessions8kinds of AI mistakes checked
Case study 13

A spoken note becomes a review-ready draft in under 30 seconds.

Internal teamAn executive who thinks faster than they type< 30 sfrom voice note to email draft
Case study 14

Both markets start the day with an enriched, cleaned lead list, and existing clients never reach sales.

Regional online marketplaceSalespeople who should be selling300leads discovered per run
Case study 15

Every submission is classified within seconds, before the sales team opens the file.

Regional online marketplaceSales reps calling new sign-ups< 2 sto verify each submission
Case study 16

A 2-day, 4-person process became one click.

Regional online marketplaceA sales manager approving monthly results1 clickto approve, down from 4 people and 2 days
Case study 17

Every request gets an answer within seconds and lands on the calendar, so nothing falls through the cracks.

Internal teamThe one builder everyone messages0requests left unacknowledged
Case study 18

The content team gets polished Google Docs drafts in both languages on schedule.

Regional online marketplaceA content team serving two markets2languages written at the same time