Last updated: August 31, 2026
By Ben Argeband, Founder & CEO of Heartbeat.ai
Most call blocks in physician recruiting don’t fail because recruiters aren’t working hard enough. They fail because the math was never done. Clinic hours compress your dialing windows, gatekeepers intercept a lot of your “answers,” and stale numbers quietly erode your connect rate until you’re technically busy but not actually talking to physicians. If you plan a block on activity alone, you get activity. If you plan it on the numbers behind it, you get conversations.
What’s on this page:
Who this is for
Recruiters who want predictable daily output and fewer wasted hours—especially anyone juggling multiple reqs who needs call blocks that reliably produce physician conversations, not just dial counts.
A quick reality check: if you’re finishing the day with a high dial count and low momentum, the fix usually isn’t more blocks. It’s fixing the inputs—list quality, segmentation, refresh cadence—so each block you run actually produces usable conversations and clean follow-up.
Quick answer
- Core answer
- Plan call blocks around physician conversations (physician answered plus a logged next step), then work backward using your connect rate and answer rate to figure out how many dials you need. Size your list accordingly, and set a refresh trigger for when those rates start slipping.
- Best for
- Recruiters who want predictable daily output and fewer wasted hours.
Compliance and safety
This method is for legitimate recruiting outreach only. Respect candidate privacy, honor opt-out requests, and follow applicable data and telemarketing laws. Heartbeat does not provide medical or legal advice.
The framework: goal → dials → list size → refresh trigger
This is the workflow to make call blocks predictable:
- Goal: target physician conversations per block (your output).
- Dials: the number of dials you need, computed from your observed rates (your inputs).
- List size: enough unique physicians queued that you’re not re-dialing the same people too fast.
- Refresh trigger: a defined point where list decay forces verification or refresh.
Use these exact denominators when you measure:
- Connect rate = connected calls / total dials (report per 100 dials).
- Answer rate = human answers / connected calls (report per 100 connected calls).
One nuance that trips people up: “human answer” often includes gatekeepers. If you don’t track physician-answered as its own disposition, your answer rate can look fine while you’re barely reaching physicians at all.
Step-by-step method
Step 1: Define the block goal in physician conversations
Start with the number of physician conversations you want out of a block, not the number of dials. A conversation should mean the physician answered, you confirmed interest level, and you logged a next step—a screen, a CV request, a referral, or a clean pass.
Dials are effort. Conversations are output. Your hiring manager never feels 200 dials; they feel submitted candidates.
Step 2: Convert conversations into dials needed
Use your observed connect rate and answer rate to back into how many dials the block requires.
Formulas:
- Physician conversations per dial = connect rate × answer rate × physician-share of human answers
- Dials needed = target physician conversations / (connect rate × answer rate × physician-share)
If you’re not yet tracking physician-share, use the simpler version below and add physician-share once you have a couple of weeks of clean dispositions:
- Dials needed (simple) = target physician conversations / (connect rate × answer rate)
Keep rates as decimals when you plug them into the formula. If your connect rate is B and answer rate is C, conversations per dial equal B×C, and dials needed equal your target divided by (B×C).
Step 3: Size the list so the block doesn’t burn your market
Once you know your dials needed, make sure enough unique physicians are queued to cover that number. If you’re re-dialing the same people inside a single block, either your list is too small or your data quality is too low to support the block size you planned.
The trade-off: bigger lists reduce repeat touches and protect candidate experience, but they demand tighter targeting and a real refresh cadence—otherwise you’re just dialing more stale numbers, not more good ones.
Step 4: Set a refresh trigger
List decay shows up first in your connect rate. Without a defined trigger, you’ll keep scheduling blocks on a decaying list and blame execution instead of the data.
- Refresh cadence: your planned interval for re-verifying and suppressing bad numbers.
- Refresh trigger: a rule tied to your own baseline that forces an early refresh.
A practical structure: if connect rate per 100 dials drops meaningfully versus your baseline for the same segment and call window across two consecutive blocks, refresh the list before running another block against it.
Diagnostic table
Use this to figure out whether your call block problem is list quality, timing and routing, or follow-up workflow.
| What you see (with denominators) | What it usually means | What to do next |
|---|---|---|
| Low connect rate (connected calls / total dials, per 100 dials) | Stale or wrong numbers, missing direct lines, weak suppression of bad outcomes | Refresh cadence now; suppress wrong numbers; rebuild the call block list; re-check targeting |
| OK connect rate, low answer rate (human answers / connected calls, per 100 connected calls) | Timing mismatch with clinic hours, voicemail-heavy routing, gatekeeper interception | Shift call windows; segment by practice type; track physician-answered separately from gatekeeper-answered |
| OK connect and answer rate, but low next-step rate (next steps / physician answers) | Offer mismatch, unclear ask, or inconsistent follow-up | Standardize the next-step ask; tighten notes; schedule follow-ups inside the block itself |
| High variance block-to-block | Mixed segments (specialty, geo, practice type), inconsistent call windows, inconsistent suppression | Run separate blocks per segment; track rates by segment; enforce the refresh trigger |
Plan each call block around connect rate and answer rate, and make refresh cadence a calendar item, not a hope.
Weighted checklist
Score your call block plan before you run it. Total 100 points. If you’re under 80, fix the plan before you spend time on it.
- (25) Block goal is written in physician conversations, not dials.
- (20) You track connect rate per 100 dials and answer rate per 100 connected calls for this specific segment.
- (15) You track physician-answered separately from other human answers (gatekeeper, colleague).
- (15) List is sized so you can dial mostly unique physicians within the block, with minimal repeats.
- (15) You have a refresh trigger tied to baseline, plus a scheduled refresh cadence.
- (10) Suppression rules exist and are enforced (wrong number, requested no contact, do-not-call, gatekeeper-only routing notes).
Where verified contact data fits operationally: teams that maintain clean, refreshed mobile and email records for physicians, and prioritize dials by likelihood of a real answer, tend to need fewer dials per conversation than teams working an unverified or aging list.
Outreach templates
Short templates built for physician recruiting realities—gatekeepers, tight windows—while staying respectful and compliant.
Template 1: Voicemail (15 seconds)
“Hi Dr. [Last Name], this is [Your Name]. I’m reaching out about a [specialty] opportunity in [region]. If you’re open to a quick, confidential conversation, call me at [number]. If not, tell me the best way to route this and I’ll update my notes. Thank you.”
Template 2: Gatekeeper routing question
“Hi—quick question. I’m trying to reach Dr. [Last Name] for a confidential recruiting call. What’s the best time window to catch them between patients, or is there a preferred way to request a call-back?”
Template 3: Same-day follow-up email after a physician answer
Subject: Follow-up — [Role] in [Region]
“Dr. [Last Name], thanks for taking a minute today. As promised, here are the basics: [1–2 bullets]. If it’s worth a 10-minute screen, what does your calendar look like this week? If not, reply ‘pass’ (or ‘stop’) and I’ll close the loop and won’t follow up.”
Common pitfalls
- Planning by dials instead of conversations. You can hit activity targets and still miss submissions entirely.
- Not separating physician answers from gatekeeper answers. Your answer rate can look fine while physician access is the actual bottleneck.
- Mixing segments in one block. Specialties, geographies, and practice types behave differently; blending them turns your rates into noise.
- No refresh trigger. Decay turns into wasted blocks and recruiter frustration that gets misdiagnosed as an execution problem.
- Repeating the same physicians too fast. This burns goodwill and lowers the odds they pick up next time.
What decay looks like in practice: a recruiter runs two blocks against the same list segment and watches connect rate fall below baseline, with dispositions showing more wrong numbers than usual. The fix isn’t a longer block—it’s an immediate refresh: suppress the bad numbers, re-verify what’s left, and rebuild the list before the next block.
How to improve results
1) Build a dials-needed worksheet
This is the simplest way to make call block math repeatable across your team.
Worksheet columns (one row per call block):
- Date
- Segment (specialty + geo + practice type)
- Call window (early AM / lunch / late PM)
- Total dials
- Connected calls
- Human answers
- Physician answers
- Connect rate = connected calls / total dials
- Answer rate = human answers / connected calls
- Physician-share = physician answers / human answers
- Physician conversations per dial = connect rate × answer rate × physician-share
- Dials needed for next block = target conversations / (connect rate × answer rate × physician-share)
Start with the simple version if you don’t have physician-share tracked yet, then add it once your dispositions are consistent.
2) Run a sensitivity check at 5%, 10%, and 15% connect
This shows how list quality changes your workload without guessing. Plug in your observed answer rate (and physician-share, if tracked) and compute dials needed for each scenario.
Formula: physician conversations per 100 dials = (connect rate per 100 dials) × (answer rate as a decimal) × (physician-share as a decimal).
| Scenario | Connect rate (per 100 dials) | Answer rate (decimal) | Physician-share (decimal) | Physician conversations per 100 dials | Dials needed for target conversations (A) |
|---|---|---|---|---|---|
| Low list quality | 5 | Enter your observed value | Enter your observed value (or 1.0 if not tracked) | Use formula above | A / ((5/100) × answer rate × physician-share) |
| Typical | 10 | Enter your observed value | Enter your observed value (or 1.0 if not tracked) | Use formula above | A / ((10/100) × answer rate × physician-share) |
| High list quality | 15 | Enter your observed value | Enter your observed value (or 1.0 if not tracked) | Use formula above | A / ((15/100) × answer rate × physician-share) |
Interpretation: if your connect rate slides from 10 per 100 dials toward 5 per 100 dials, your dials needed roughly double for the same target, holding everything else constant. That’s the real cost of skipping a refresh cadence—it’s a margin problem and a morale problem at the same time.
3) How to measure it consistently
Treat each call block as a unit with consistent denominators and segment labels:
- Connect rate = connected calls / total dials, per 100 dials.
- Answer rate = human answers / connected calls, per 100 connected calls.
- Physician-share = physician answers / human answers, per 100 human answers.
- Physician conversations per 100 dials = connect rate × answer rate × physician-share.
To make the data usable:
- Track by segment and call window—don’t blend segments in one report.
- Use consistent dispositions: wrong number, voicemail, gatekeeper answered, physician answered, requested no contact.
- When connect rate drops versus baseline for a given segment and window, trigger the refresh: re-verify, suppress, rebuild.
Legal and ethical use
Physician outreach is regulated and reputation-sensitive. Use compliant processes, honor opt-outs immediately, and avoid anything that resembles mass automated dialing without consent. For baseline U.S. context, review the Telephone Consumer Protection Act (TCPA) overview from the FCC. The TCPA framework continues to evolve—the FCC has recently extended compliance deadlines for certain consent-revocation rules and clarified how quiet-hours restrictions apply to text messaging, so it’s worth checking current guidance rather than relying on older summaries.
- Be transparent about who you are and why you’re calling.
- Maintain suppression lists and respect requested no-contact status.
- Keep notes minimal and protect candidate privacy.
Evidence and trust notes
This method is meant to be auditable against your own call block logs and denominators—it doesn’t rely on assumed rates. For how Heartbeat approaches data quality, verification, and sourcing integrity, see the Heartbeat Trust Methodology. Compliance baseline reference (not legal advice): FCC TCPA overview. For more on the specific metrics used here, read connect rate vs answer rate.
FAQs
What’s the difference between connect rate and answer rate in a call block?
Connect rate = connected calls / total dials (per 100 dials). Answer rate = human answers / connected calls (per 100 connected calls). Track physician-answered separately so you know whether routing is the bottleneck.
How do I calculate dials needed for a physician recruiting call block?
Use: dials needed = target physician conversations / (connect rate × answer rate). If you track physician-share (physician answers / human answers), include it: dials needed = target / (connect × answer × physician-share).
How do I know when to refresh my call list?
Track connect rate per 100 dials by segment and call window. If it drops meaningfully versus your baseline for that same segment and window across consecutive blocks, trigger a refresh: re-verify, suppress bad numbers, and rebuild the next call block list.
Why do my connects look fine but I’m not reaching physicians?
Your answer rate may be driven mostly by gatekeepers or other non-physician human answers. Add a physician-answered disposition and track physician-share so you can separate routing problems from list quality problems.
Should I plan call blocks by time or by outcomes?
Plan by outcomes first—physician conversations—then work backward into dials and list size. Time is the container; outcomes are what actually move the search forward.
Next steps
- Build a cleaner call list so your call block math isn’t built on stale inputs: how to build a physician call list.
- Sanity-check what “direct dial” really means before you operationalize it: physician direct dial database: what to check.
- Ready to run this with real data? start free search & preview data.
About the Author
Ben Argeband is the Founder and CEO of Swordfish.ai and Heartbeat.ai. With deep expertise in data and SaaS, he has built two successful platforms trusted by over 50,000 sales and recruitment professionals. Ben’s mission is to help teams find direct contact information for hard-to-reach professionals and decision-makers, providing the shortest route to their next win. Connect with Ben on LinkedIn.
