Speed is the method.
We test and build fast, with real customers, so you know what works before you invest.
Worked example
From first read to a working change in weeks.
Globex Packaging makes custom boxes. Its win rate fell from 31% to 19%, so it plans to buy more leads with expensive marketing.
Globex and its numbers are an example. We don’t blast company secrets on the internet.
UnderstandDays 1–3
First, we learn how the business works.
AI reads a year of Globex’s email, CRM notes, and quotes: 11,230 records about 1,140 quote requests. Each request becomes one bar: days waiting for a price, then won or lost.
How
- Interviews
- Reps and estimators explain how quotes move.
- LLM
- Names request types in Globex’s words.
- Classifier
- Tags all 11,230 records.
- Estimators
- Check and correct the tags.
Quote requests as bars in the order they arrived. Most wait between 5 and 19 days for a price; most are lost. ChooseDays 4–5
The numbers reveal the opportunity.
Quotes priced within 2 days win 38% of the time. After a week, 11%. Speed looks like the cause. Only a test can prove it.
How
- Classifier
- Sorts loss notes by reason: speed, price, or design.
- Code
- Counts days waiting and wins per type.
- Code
- Traces every number to its source.
- Leaders
- Pick same-day prices for 5 standard sizes.
The same bars sorted by wait. The short bars at the top are mostly won; the long bars below are mostly lost. BuildWeek 2
We build Globex a same-day quoting app.
65% of requests are for 5 standard sizes. We build an app that quotes them the same day. AI sets its prices from 700 past quotes.
How
- LLM
- Extracts size, quantity, and price from 700 quotes.
- Code
- Checks prices against today’s cardboard cost.
- Sales director
- Approves every price.
The bars for the 5 standard sizes shrink to the same day and gather at the top. The other requests keep their waits. TestWeeks 3–10
The software that found slow prices measures fast ones.
For 8 weeks, reps quote every standard-size request in the app, the same day. We measure wins from the same email and CRM, sorted the same way.
How
- Classifier
- Tags each new request the same way as last year.
- LLM
- Reads buyer replies for why they said yes or no.
- Code
- Compares win rates: last year versus test.
The same-day bars stay lit while the win rate is measured over 8 weeks. The other requests dim. DecideWeek 10
Globex decides in week 10, not month 10.
Same-day prices won 39% of standard-size deals, up from 23%. The overall win rate rose from 19% to 29%, close to the old 31%. Globex keeps the app.
How
- Code
- Rules out normal weekly swings.
- LLM
- Writes the summary, every claim linked to a record.
- Leaders
- Keep, change, or stop.
- Code
- Reuses the request types, so the next cycle costs less.
The same-day bars now show the test’s results: more of them won. Keep is chosen.
Two options
Globex planned to buy more leads. It priced faster instead.
| The hunch: more leads | What they did: same-day quoting app | |
|---|---|---|
| Spend12 months | Every month, forever | Once, in weeks 1–2 |
| Wait | Would grow: more requests, same queue | Same day for 65% of requests |
| Win rate | Never tested | 19% to 29% in 8 weeks |
Globex didn’t need more leads. It needed faster prices.
Start with what you need.
Your best guess is enough.