How to Set Up BigChange Job Sheets That Auto-Populate from Quotes

BigChange JobWatch

Why retyping job details is costing you margin

Every retype is a chance to lose a part number, a postcode digit, or a fixed price.

I came up through gas and heating. Before I built TrainAR I ran an installation company, and I can tell you exactly what kills a healthy gross margin: the quiet hour every morning when one person in the office takes accepted quotes from yesterday and rekeys them into job sheets for today. The same address, the same contact, the same parts list, the same scope of works. Typed once for the quote. Typed again for the job. Typed a third time when the engineer scribbles it onto the back of a worksheet on site.

This is not a small problem. It is a margin leak. Every retype is a chance for a postcode digit to slip, a boiler model to be wrong, or a fixed-price line to be missed when invoicing. Multiply that by 40 jobs a week and you have lost hours of admin time and at least one job where the engineer turned up without the right part.

The fix is straightforward and it has been sitting inside BigChange the whole time. The CRM, the quote, and the job sheet are the same record. You just need to wire them up. This guide walks through the exact setup so an accepted quote populates the engineer's digital job sheet automatically, with the right fields, the right parts, and the right pricing. No retyping, no lost data.

How the BigChange data flow actually works

BigChange is one database with five interfaces. The contact, the quote, the job, the worksheet, the invoice, all live as linked records inside the same system. That linkage is what lets data flow without retyping. When you understand the model, the setup makes sense.

The journey looks like this:

1. CRM contact: The customer record holds the site address, billing address, contact people, and any default job preferences.
2. Sales opportunity: Your enquiry becomes an opportunity. This is where the scope, parts, and pricing get added.
3. Quotation: The opportunity produces a quote document. The line items here are structured data, not free text on a PDF.
4. Job: When the quote is accepted, BigChange creates a job linked to the contact and the original quote.
5. Worksheet: The custom worksheet attached to that job type pulls in the linked data and adds engineer-facing fields for photos, signatures, readings, and notes.
6. Invoice: When the job is complete, the financial lines flow back from the quote and the worksheet straight into the invoice.

The mistake most businesses make is treating each stage as separate. They build quotes in one place, jobs in another, and worksheets as standalone PDFs the engineer fills in by hand. That is a paper process running on a digital platform. You get none of the benefit.

Step 1: Map your quote-to-job-sheet field journey

Map the fields on paper before you build anything in BigChange. Saves hours later.

Before you touch the BigChange admin screens, do this on paper. Take one of your standard jobs, say a boiler install or a fuse board replacement, and list every piece of information that needs to travel from the quote to the engineer's job sheet on the day.

For a typical heating job that will include:

• Customer name, site address, contact phone, access notes
• Boiler make and model, removal details, location in the property
• Flue type, gas pipe run details, condensate route
• Controls package, smart thermostat brand and model
• Power flush included yes or no, magnetic filter spec
• Fixed price for the install, separate price for any chargeable extras
• Warranty registered and benchmark certificate required yes or no

Now do the same for the engineer-only fields. These are the things the engineer adds on site that did not exist at quote stage:

• Photos before, during, after
• Gas tightness test result
• Flue gas analyser readings
• Customer signature on completion
• Any chargeable extras encountered
• Time on site, parts actually used, waste removed

You now have two lists. The first list is what should auto-populate. The second list is what the engineer adds. The worksheet you build in Step 2 will be the combination of both, with the first list locked or pre-filled and the second list as required entries the engineer cannot skip.

Step 2: Build a custom worksheet that mirrors your quote

The BigChange worksheet builder uses drag-and-drop fields. No coding needed.

In BigChange, custom worksheets are built under Admin then Worksheets then Create New. You name the worksheet, pick the job types it should attach to, and then add fields.

Fields come in types. The ones you will use most:

• Text and number fields: for things like meter readings, flue gas readings, parts used
• Pick list: for boiler make, control type, anything with a fixed set of options
• Photo capture: with watermark for before and after evidence
• Signature capture: for customer sign-off
• Calculated fields: for things like totals or test pass or fail logic
• Pre-populated fields: these are the ones that pull from the linked quote or job

The pre-populated fields are where the auto-population magic happens. When you add a field, you can set its default value to a token that BigChange substitutes at runtime. Common tokens for our use case include the customer name, site address, job number, scope text from the quote, and any line items mapped to specific job templates.

Build the worksheet in the same order the engineer will use it. Pre-populated quote data at the top so the engineer can confirm. Then the engineer-only fields below, grouped into pre-job, on-job, and post-job sections. Mandatory fields get a red asterisk and BigChange will not let the engineer mark the job complete until they are filled.

Mapping quote line items to worksheet fields

For products you fit regularly, set up a job template. The template includes the worksheet, the parts list, the standard time on site, and the default engineer skill requirement. When the quote uses one of these template products, the job inherits the template and the worksheet inherits the parts list as pre-populated rows.

For one-off jobs, the worksheet still pulls customer and address data from the quote, but the parts list is empty for the engineer to add as they go. That is fine. The point is to remove all the data that does not need to be retyped, not to force a template onto every job.

Step 3: Configure the workflow trigger from accepted quote

A single workflow rule turns an accepted quote into a scheduled job with the worksheet ready.

Now we need the trigger that fires the whole thing. Under Admin then Workflow Rules, create a new rule.

1. Trigger event: Quotation Status Changed
2. Condition: New Status equals Accepted
3. Action 1: Create Job, with job type set to match the worksheet you built in Step 2
4. Action 2: Copy quote line items to job parts list
5. Action 3: Notify scheduler, send a task to the planner inbox
6. Action 4: Copy custom quote fields, mapped to the corresponding worksheet fields

The fourth action is the one most people miss. Custom fields on the quote, things like flue type, control package, access notes, do not flow automatically. You have to map them. In the rule, expand Action 4 and pair each quote field to the worksheet field it should land in. This takes ten minutes and it is the difference between a worksheet that arrives half-empty and one that arrives ready to use.

Step 4: Test the auto-populate flow with a real job

Pick a low-stakes job. A boiler service, a minor plumbing repair, something where the worksheet is short and the engineer will not be on site for long. Run it through the full flow end to end.

1. Build a quote on the test customer using your standard job type
2. Send the quote through the normal customer-facing channel
3. Mark the quote Accepted manually in BigChange to trigger the rule
4. Check the job was created with the correct job type and worksheet attached
5. Open the worksheet on the engineer's tablet and confirm the pre-populated fields look right
6. Have the engineer complete the job as if it were a real one
7. Check the invoice generated at the end pulls the quoted price plus any engineer-added extras

Things to look for during the test:

• Are all expected fields pre-populated, or are some still blank?
• Does the engineer have to scroll past read-only fields to reach the data entry fields? If so, reorder the layout.
• Are mandatory fields blocking job completion correctly?
• Does the customer signature appear on the auto-generated PDF for the customer?
• Does the invoice pull from the quote total or has it defaulted to time and materials?

Step 5: Add AI field suggestions and conditional logic

AI field suggestions reduce engineer entry time on common worksheet patterns.

BigChange has added AI-powered field suggestions to its newer worksheet builder. The feature looks at the engineer's recent worksheets and suggests likely values for the next field based on context. For repeatable work like servicing, where the same boiler make and model comes up across estates and landlords, this knocks meaningful time off each job.

To switch it on, open the worksheet in the builder, go to Advanced Settings, and tick AI Field Assist. You can set it per-field so it applies to the things where suggestions are useful (boiler model, control package, gas meter location) and stays off for the things where you do not want suggestions (gas tightness readings, flue gas readings, anything with a compliance implication).

Conditional logic is the other lever. You can configure a worksheet so that selecting a certain value in one field reveals or hides a section below. Example: if the engineer ticks "Boiler not commissioned", the worksheet hides the benchmark certificate section and shows a reason-code dropdown. The job sheet stays clean and the engineer is not scrolling past fields that do not apply.

Build conditional logic last. Get the base worksheet stable first, run it for a couple of weeks, then layer the logic on once you know which combinations come up most often.

Common setup mistakes (and how to avoid them)

I have watched a few businesses set this up and most make the same handful of mistakes. Catch them early.

Building the worksheet before mapping the fields

You will end up with seventeen iterations of the same worksheet, each one with a new field someone forgot. Do the mapping exercise in Step 1 on paper first. An hour with a pen saves a week with the admin screens.

Skipping the custom field mapping in the workflow rule

If you only set up the basic actions and ignore custom field mapping, the engineer's worksheet will arrive with the customer name and address filled in but everything else blank. The engineer assumes the auto-populate did not work and starts retyping. The whole point of the exercise is lost. Spend the ten minutes on the mapping.

Making everything mandatory

If too many fields are mandatory, engineers find workarounds. They tap dummy values to get past the screen. The data you collect becomes worthless. Make mandatory the things that matter for safety, compliance, and billing, and leave the rest optional. You can always upgrade an optional field to mandatory later.

Not training the scheduler on the new flow

The scheduler is the gatekeeper. If they keep building jobs the old way, manually, the workflow rule never fires and the auto-populate never happens. The scheduler needs to understand that their job is now to confirm and schedule, not to copy and recreate. Half an hour of training, then check in after a week.

What it costs and whether it's worth it

BigChange is not cheap. Pricing in 2026 sits at £14.95 per vehicle per month for the entry Vehicle Tracking tier, £69.95 per vehicle per month for JobWatch (the main product), and £99.95 per vehicle per month for JobWatch Plus, which adds the more advanced finance and reporting features. The custom worksheets and workflow rules described in this guide are included in JobWatch and JobWatch Plus, but not in the entry Vehicle Tracking tier.

For a five-engineer business, JobWatch comes in at roughly £350 per month, or £4,200 per year. That is the platform cost. There is also an onboarding fee, which BigChange will quote based on the complexity of your setup.

The return on investment depends on how much time you currently spend on quote-to-job-sheet retyping and on chasing missing information. If an admin spends two hours a day on this work, at a fully-loaded cost of £15 per hour, that is £150 a week, or £7,800 a year. Recovering even half of that, and reducing the cost of repeat visits caused by missing info, pays for the platform.

If your business is smaller (two or three engineers), the per-vehicle pricing makes BigChange less attractive than lighter-weight alternatives, and you may want to look at simpler quoting tools instead. We covered a few of those in our guide to automating your quoting with AI.

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Frequently asked questions

My verdict

If you are not on BigChange yet, do not buy the platform just to get this workflow. The auto-populate flow can be built in Commusoft, Joblogic, Workever, and several other UK field service platforms. Pick the one that fits your business size and your team's comfort with software, and apply the same five-step approach. The principles travel.

For the smaller end of the market, our guide to building an AI customer service bot in two hours covers a lighter-weight starting point that can be combined with simpler quoting tools to achieve a similar end result without the BigChange contract length.