Home services and trades
Good-better-best options: why recorded customer choices are valuable
By SourceX Editorial · Updated
Short answer
Good-better-best options data is valuable because it pairs what a technician presented with what the homeowner chose, turning each tiered estimate into a recorded preference. The rule: keep every option shown, not just the one sold, with its equipment, terms and the final choice. A sold invoice alone shows the answer without the question.
Key takeaways
- An estimate that keeps every presented option and the one accepted is a preference record; an invoice alone is not.
- Unsold options are the half most trades companies lose, usually because they are deleted or overwritten after the sale.
- The fields that matter most are tier, equipment and scope, warranty and financing terms, who presented, the choice and the decline reason.
- Choice records describe household decisions, so names, addresses, financing details and signed forms come out before anyone outside sees them.
- Choices linked to later callbacks, agreement sign-ups and repeat service are worth more than choices on their own.
What makes a good-better-best estimate a data record?#
A good-better-best estimate becomes a data record when it stores every option shown alongside the option the customer accepted. That pairing captures a real decision under real constraints: a failed condenser on a hot afternoon, a household budget, a technician's recommendation and a need to decide quickly.
Most trades businesses already create these records without thinking of them that way. A comfort advisor builds a repair option, a mid-tier replacement and a premium system with a longer labor warranty, the homeowner signs one, and the field service platform saves the estimate. Whether the other two survive depends on habits and settings.
For an owner, the same record answers practical questions: which tiers sell in which service areas, which technicians present all three, and when a financing offer changes the outcome. For an AI developer, it is an example of how people choose between priced alternatives with expert advice in the room.
Which fields turn options into a preference record?#
A preference record needs the full choice set, the terms attached to each option and the outcome, captured in fields rather than only in a PDF. The table below lists the fields to keep on every tiered estimate, whether you run ServiceTitan, Housecall Pro, Jobber, FieldEdge or another platform.
The choice field is the one most often missing. A sold estimate records acceptance automatically, but a declined estimate usually sits open until someone closes it, and few companies require a reason. A short, fixed list of decline reasons, such as price, timing, getting other quotes, repairing instead or no decision, is worth more than free text.
| Field | What to record | Why it matters |
|---|---|---|
| Options presented | Every option on the estimate, in the order shown | Shows the full choice set, not just the winner |
| Tier label | Good, better, best, or your own package names | Lets choices be compared across jobs and advisors |
| Equipment and scope | Brand, model, efficiency rating and line items | Ties each price level to what was actually offered |
| Terms | Warranty coverage, financing offer, membership discount | Explains choices that price alone cannot |
| Presented by and when | Technician or comfort advisor, date presented | Separates presentation skill from customer preference |
| Choice | Option accepted, or declined with a reason code | The label that makes the record useful |
| Follow-up | Later acceptance, lost to a competitor, no response | Captures decisions made after the visit |
| Outcome | Callback, warranty claim, agreement sign-up, repeat service | Links the choice to what happened next |
- 01Your work records
- 02Personal details removed
- 03You approve the release
- 04Licensed to AI developers
Why do AI developers care about recorded customer choices?#
AI developers care about recorded customer choices because they show how real people trade off price, risk and expert advice, which is hard to simulate. A survey describes what people say they would pick; an option record shows what they signed.
A model that drafts estimates, recommends a package or coaches a comfort advisor needs examples of options presented together and the one that won. Linked outcomes add a second layer: whether the premium tier produced fewer callbacks, or whether a repair option led to a replacement later at the same address.
The records only carry this value when they are complete. An archive that keeps the accepted option and drops the rest looks like a list of sales, and a list of sales says nothing about what customers turned down.
Where do unsold options get lost?#
Unsold options get lost through small, routine habits in the field and the office rather than through any single failure. Each of the points below is common in trades companies, and each can be checked by pulling a handful of replacement estimates from different years.
- Technicians delete unused options after the customer signs, to tidy the estimate before it becomes an invoice.
- A second visit rebuilds the options from scratch, overwriting the first presentation instead of keeping both.
- Options are shown on paper or a tablet slideshow, and only the accepted option is typed into the system.
- Declined estimates are never closed, so they sit open with no reason and no follow-up recorded.
- Old estimates are re-priced when reopened after a price book update, so the price level actually shown is lost.
- A move to a new field service platform carries over jobs and invoices but leaves estimates behind.
Illustrative: an HVAC company audits its option history#
Illustrative: a fictional residential HVAC and plumbing company has used the same field service platform for several years. Its comfort advisors present three replacement tiers on most system change-outs, and the owner wants to know whether that history is complete enough to justify a fit check.
The operations manager pulls an estimate report for replacement jobs. Recent sold estimates show all three options, but on many early jobs the unsold options were deleted. Declined estimates exist but carry no reason. Repair-tier choices do link cleanly to later replacement jobs at the same location.
The decision: treat the recent years as the core record set, add a required decline reason, and switch off option deletion after a sale. The outcome is a cleaner archive and a sales report the owner had never been able to run, showing which tier each advisor sells and which tiers come back as callbacks.
What has to come out before choice records leave the company?#
Choice records leave the company only after names, contact details, street addresses and payment data are removed or replaced. Option records also carry quieter identifiers: notes about a tenant, a health reason for urgency, a financing decision or a photo of a signed form.
Pricing deserves its own decision. Your price book is commercially sensitive, so an owner can keep relative tiers while banding or removing exact prices, and the license can restrict how any pricing fields are used.
| Element | Typical treatment |
|---|---|
| Customer name, phone and email | Removed and replaced with a stable pseudonymous key |
| Service address | Generalized to a region or climate area |
| Financing approval or denial | Removed, or reduced to offered, accepted or not offered |
| Signature captures and signed PDFs | Excluded from the dataset |
| Technician and advisor names | Replaced with a role and a pseudonymous ID |
| Free-text estimate notes | Reviewed and redacted for personal details |
| Option prices | Kept, banded or removed, as the owner approves |
How SourceX approaches option and estimate records#
SourceX treats option history as part of the linked job record rather than a separate dataset. In the SourceX five-step transaction (Supply, Rights, Preparation, Approval, Delivery), the fit check at the Supply step collects only metadata about your systems, the years of estimates available and how options are stored. No files move at that stage.
If the records proceed, the SourceX Enterprise Data Value Framework weighs them on drivers such as human-generated signal, data cleanliness, scale and recency, while privacy burden and preparation cost reduce net value. The supplier approves every step, and the data is licensed, not sold; the company keeps ownership.
Frequently asked questions
Do we need exactly three tiers for the records to count?
No. Two options or five both record a choice, as long as every option shown is kept with the one accepted. Consistent tier labels help because they let options be compared across jobs, but companies that name packages differently can map them to a common scale during preparation.
Does financing information make the records more sensitive?
Yes. Whether financing was offered is a useful field, but approvals, denials, credit terms and lender names concern a person's finances. Most preparation plans reduce financing to a simple flag and exclude lender documents entirely. Which privacy rules may apply is assessed deal by deal with counsel.
Are repair-versus-replace decisions part of the record?
They are among the most useful. A repair option presented beside a replacement captures how a homeowner weighs a smaller cost now against a larger one later. When later jobs at the same location are linked, the record also shows whether the repair held.
Will sharing option data reveal our pricing to competitors?
Licensing does not have to expose your price book. Prices can be banded, converted to relative tiers or removed, and license terms can limit permitted use and require confidentiality. The owner decides how pricing appears before anything is approved for delivery.
Should we change how we present options to improve the data?
Change how you record options, not how you sell. Keeping every option, closing declined estimates with a reason and stopping deletions after a sale improve the archive without changing the conversation in the home. Altering sales practice for data purposes would weaken the record as an example of real decisions.
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