The AI Intake Scorecard: 6 Questions That Turn Calls Into Booked Jobs
Most home-service teams do not need longer phone calls. They need a cleaner way to decide which calls are urgent, which jobs are bookable, and what detail must be captured before a technician is dispatched.
A missed call is easy to notice. A weak intake call is harder: the phone was answered, the customer talked to someone, but the team still lost the job because the urgency, address, photos, service window, or next step was never captured. An AI intake scorecard fixes that gap without turning every call into a long script.
The scorecard is a simple operating layer for receptionists, AI phone agents, and owner follow-up. Every new lead gets scored on the same six questions. The goal is not to grade the customer. The goal is to give the business a fast, consistent view of what should happen next.
Why intake quality matters more than call volume
Small businesses often measure phones by answered calls and missed calls. Those numbers matter, but they do not tell the whole story. A call can be answered and still fail operationally.
- The customer says “water near the ceiling,” but the call is treated like a normal estimate.
- The dispatcher asks for a name and phone number, but not the job address or access notes.
- The caller wants same-day help, but nobody offers the next available window.
- The team promises a callback, but the lead is never marked as open.
Those are not marketing problems. They are intake problems. The fix is a scorecard that makes the next step obvious before the call ends.
The six-question AI intake scorecard
Use this for phone calls, website forms, texts, and AI voice-agent transcripts. Keep the scoring plain enough that a human can review it in seconds.
1. What service is needed?
Classify the request into a small list: repair, emergency, estimate, maintenance, warranty, existing customer, or unclear. A simple category helps the team route the lead faster.
2. How urgent is it?
Score urgency as low, normal, same-day, or emergency. Look for words like leak, no heat, sparking, locked out, flooding, gas smell, smoke, backup, or “right now.”
3. Is the job in the service area?
Capture city, neighborhood, ZIP code, and full address when possible. A good AI phone prompt should ask naturally: “What address would we be coming to?”
4. What proof or context is needed?
Ask for photos, model numbers, access notes, shutoff status, parking details, or whether the customer is home. The right context reduces wasted trips.
5. What is the best booking window?
Do not end with “someone will call you back” if the caller is ready to book. Capture availability and offer a concrete next step: first available, today after 2 p.m., tomorrow morning, or after-hours escalation.
6. What follow-up is still open?
Every unresolved lead should have a next action: text booking link, call back, request photos, escalate to owner, send estimate reminder, or mark as not a fit.
A simple scoring system
You do not need a complex CRM build to start. Score each call from 0 to 6 based on how many questions were answered clearly. Then add one routing label.
- 0–2: weak intake. The team does not have enough detail to route or book confidently.
- 3–4: workable intake. The lead can be followed up, but one or two details are missing.
- 5–6: bookable intake. The team has service type, urgency, location, context, booking preference, and next action.
- Routing labels: emergency, same-day, estimate, existing customer, nurture, or not a fit.
The win is not the score itself. The win is seeing which details your team repeatedly misses. If 70 percent of calls lack a booking window, the fix is obvious.
The prompt I would use first
Start by pasting one call transcript or call note into your AI tool. Later, connect it to your phone system, spreadsheet, or CRM.
Prompt: “Review this home-service lead intake. Score it from 0 to 6 using these fields: service needed, urgency, service area/address, context needed, booking window, and open follow-up. Then return the lead category, urgency label, missing details, and the one next action that should happen now.”
Output format: “Score, category, urgency, missing details, next action, suggested reply.”
That prompt is intentionally operational. It does not ask AI to “optimize the business.” It asks AI to check whether the intake is complete enough to book or route.
Where this fits in the larger lead system
The intake scorecard pairs well with the 5-minute missed-call follow-up workflow. Missed-call recovery gets the lead back into motion. The scorecard makes sure the follow-up collects what the team actually needs.
It also belongs inside the broader AI workflows for home services and AI lead response system. If your phone agent answers every call but sends vague summaries, the owner still has to interpret everything manually. The scorecard turns every summary into a decision.
How to test it this week
- Pick 20 recent calls or form fills.
- Run each through the six-question scorecard.
- Count the most common missing field.
- Update your phone script, AI prompt, or form to capture that field earlier.
- Review the next 20 calls and compare the average score.
This is the same compounding loop behind the daily AI lead review: collect the signal, summarize it, fix one bottleneck, and check whether tomorrow improves. For builders running local agents or repeatable prompt tests, the OpenClaw + Claude Mac workaround is a useful setup for iterating without turning every experiment into a software project.
What to avoid
Do not make the intake scorecard so complicated that nobody uses it. Six questions are enough. Do not ask AI to invent urgency if the caller did not provide enough detail. Mark it unclear and trigger follow-up. Do not let the score replace human judgment on safety-sensitive calls.
The best version is boring and repeatable: every call gets the same check, every weak intake produces a clear next action, and the owner can review the day without reading every transcript.
Want this built into your phone workflow?
Jedaiflow builds practical AI phone and follow-up systems for home-service teams: intake scorecards, call summaries, missed-call recovery, owner reports, and daily lead reviews.
See the ShipClean workflow →