{"id":54356,"date":"2026-02-01T13:05:30","date_gmt":"2026-02-01T19:05:30","guid":{"rendered":"https:\/\/heartbeat.ai\/healthcare\/call-block-math-for-physician-recruiting\/"},"modified":"2026-08-31T08:47:51","modified_gmt":"2026-08-31T13:47:51","slug":"call-block-math-for-physician-recruiting","status":"publish","type":"post","link":"http:\/\/heartbeat.ai\/resources\/recruiting-ops\/call-block-math-for-physician-recruiting\/","title":{"rendered":"Call block math for physician recruiting (dials needed + refresh triggers)"},"content":{"rendered":"<p class=\"article-last-updated\"><strong>Last updated:<\/strong> August 31, 2026<\/p>\n<p><strong>By Ben Argeband, Founder &amp; CEO of Heartbeat.ai<\/strong><\/p>\n<p>Most call blocks in physician recruiting don&#8217;t fail because recruiters aren&#8217;t working hard enough. They fail because the math was never done. Clinic hours compress your dialing windows, gatekeepers intercept a lot of your &#8220;answers,&#8221; and stale numbers quietly erode your connect rate until you&#8217;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.<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_2 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\r\n<div class=\"ez-toc-title-container\">\r\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">What\u2019s on this page:<\/p>\r\n<span class=\"ez-toc-title-toggle\"><\/span><\/div>\r\n<nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"http:\/\/heartbeat.ai\/resources\/recruiting-ops\/call-block-math-for-physician-recruiting\/#Who_this_is_for\" >Who this is for<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"http:\/\/heartbeat.ai\/resources\/recruiting-ops\/call-block-math-for-physician-recruiting\/#Quick_answer\" >Quick answer<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"http:\/\/heartbeat.ai\/resources\/recruiting-ops\/call-block-math-for-physician-recruiting\/#The_framework_goal_%E2%86%92_dials_%E2%86%92_list_size_%E2%86%92_refresh_trigger\" >The framework: goal \u2192 dials \u2192 list size \u2192 refresh trigger<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"http:\/\/heartbeat.ai\/resources\/recruiting-ops\/call-block-math-for-physician-recruiting\/#Step-by-step_method\" >Step-by-step method<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"http:\/\/heartbeat.ai\/resources\/recruiting-ops\/call-block-math-for-physician-recruiting\/#Step_1_Define_the_block_goal_in_physician_conversations\" >Step 1: Define the block goal in physician conversations<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"http:\/\/heartbeat.ai\/resources\/recruiting-ops\/call-block-math-for-physician-recruiting\/#Step_2_Convert_conversations_into_dials_needed\" >Step 2: Convert conversations into dials needed<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"http:\/\/heartbeat.ai\/resources\/recruiting-ops\/call-block-math-for-physician-recruiting\/#Step_3_Size_the_list_so_the_block_doesnt_burn_your_market\" >Step 3: Size the list so the block doesn&#8217;t burn your market<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"http:\/\/heartbeat.ai\/resources\/recruiting-ops\/call-block-math-for-physician-recruiting\/#Step_4_Set_a_refresh_trigger\" >Step 4: Set a refresh trigger<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"http:\/\/heartbeat.ai\/resources\/recruiting-ops\/call-block-math-for-physician-recruiting\/#Diagnostic_table\" >Diagnostic table<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"http:\/\/heartbeat.ai\/resources\/recruiting-ops\/call-block-math-for-physician-recruiting\/#Weighted_checklist\" >Weighted checklist<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"http:\/\/heartbeat.ai\/resources\/recruiting-ops\/call-block-math-for-physician-recruiting\/#Outreach_templates\" >Outreach templates<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"http:\/\/heartbeat.ai\/resources\/recruiting-ops\/call-block-math-for-physician-recruiting\/#Template_1_Voicemail_15_seconds\" >Template 1: Voicemail (15 seconds)<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"http:\/\/heartbeat.ai\/resources\/recruiting-ops\/call-block-math-for-physician-recruiting\/#Template_2_Gatekeeper_routing_question\" >Template 2: Gatekeeper routing question<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"http:\/\/heartbeat.ai\/resources\/recruiting-ops\/call-block-math-for-physician-recruiting\/#Template_3_Same-day_follow-up_email_after_a_physician_answer\" >Template 3: Same-day follow-up email after a physician answer<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"http:\/\/heartbeat.ai\/resources\/recruiting-ops\/call-block-math-for-physician-recruiting\/#Common_pitfalls\" >Common pitfalls<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"http:\/\/heartbeat.ai\/resources\/recruiting-ops\/call-block-math-for-physician-recruiting\/#How_to_improve_results\" >How to improve results<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-17\" href=\"http:\/\/heartbeat.ai\/resources\/recruiting-ops\/call-block-math-for-physician-recruiting\/#1_Build_a_dials-needed_worksheet\" >1) Build a dials-needed worksheet<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-18\" href=\"http:\/\/heartbeat.ai\/resources\/recruiting-ops\/call-block-math-for-physician-recruiting\/#2_Run_a_sensitivity_check_at_5_10_and_15_connect\" >2) Run a sensitivity check at 5%, 10%, and 15% connect<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-19\" href=\"http:\/\/heartbeat.ai\/resources\/recruiting-ops\/call-block-math-for-physician-recruiting\/#3_How_to_measure_it_consistently\" >3) How to measure it consistently<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-20\" href=\"http:\/\/heartbeat.ai\/resources\/recruiting-ops\/call-block-math-for-physician-recruiting\/#Legal_and_ethical_use\" >Legal and ethical use<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-21\" href=\"http:\/\/heartbeat.ai\/resources\/recruiting-ops\/call-block-math-for-physician-recruiting\/#Evidence_and_trust_notes\" >Evidence and trust notes<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-22\" href=\"http:\/\/heartbeat.ai\/resources\/recruiting-ops\/call-block-math-for-physician-recruiting\/#FAQs\" >FAQs<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-23\" href=\"http:\/\/heartbeat.ai\/resources\/recruiting-ops\/call-block-math-for-physician-recruiting\/#Whats_the_difference_between_connect_rate_and_answer_rate_in_a_call_block\" >What&#8217;s the difference between connect rate and answer rate in a call block?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-24\" href=\"http:\/\/heartbeat.ai\/resources\/recruiting-ops\/call-block-math-for-physician-recruiting\/#How_do_I_calculate_dials_needed_for_a_physician_recruiting_call_block\" >How do I calculate dials needed for a physician recruiting call block?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-25\" href=\"http:\/\/heartbeat.ai\/resources\/recruiting-ops\/call-block-math-for-physician-recruiting\/#How_do_I_know_when_to_refresh_my_call_list\" >How do I know when to refresh my call list?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-26\" href=\"http:\/\/heartbeat.ai\/resources\/recruiting-ops\/call-block-math-for-physician-recruiting\/#Why_do_my_connects_look_fine_but_Im_not_reaching_physicians\" >Why do my connects look fine but I&#8217;m not reaching physicians?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-27\" href=\"http:\/\/heartbeat.ai\/resources\/recruiting-ops\/call-block-math-for-physician-recruiting\/#Should_I_plan_call_blocks_by_time_or_by_outcomes\" >Should I plan call blocks by time or by outcomes?<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-28\" href=\"http:\/\/heartbeat.ai\/resources\/recruiting-ops\/call-block-math-for-physician-recruiting\/#Next_steps\" >Next steps<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-29\" href=\"http:\/\/heartbeat.ai\/resources\/recruiting-ops\/call-block-math-for-physician-recruiting\/#About_the_Author\" >About the Author<\/a><\/li><\/ul><\/nav><\/div>\r\n<h2><span class=\"ez-toc-section\" id=\"Who_this_is_for\"><\/span>Who this is for<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Recruiters who want predictable daily output and fewer wasted hours\u2014especially anyone juggling multiple reqs who needs call blocks that reliably produce physician conversations, not just dial counts.<\/p>\n<p><strong>A quick reality check:<\/strong> if you&#8217;re finishing the day with a high dial count and low momentum, the fix usually isn&#8217;t more blocks. It&#8217;s fixing the inputs\u2014list quality, segmentation, refresh cadence\u2014so each block you run actually produces usable conversations and clean follow-up.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Quick_answer\"><\/span>Quick answer<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<dl>\n<dt>Core answer<\/dt>\n<dd>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.<\/dd>\n<dt>Best for<\/dt>\n<dd>Recruiters who want predictable daily output and fewer wasted hours.<\/dd>\n<\/dl>\n<blockquote>\n<p><strong>Compliance and safety<\/strong><\/p>\n<p>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.<\/p>\n<\/blockquote>\n<h2><span class=\"ez-toc-section\" id=\"The_framework_goal_%E2%86%92_dials_%E2%86%92_list_size_%E2%86%92_refresh_trigger\"><\/span>The framework: goal \u2192 dials \u2192 list size \u2192 refresh trigger<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>This is the workflow to make call blocks predictable:<\/p>\n<ul>\n<li><strong>Goal:<\/strong> target physician conversations per block (your output).<\/li>\n<li><strong>Dials:<\/strong> the number of dials you need, computed from your observed rates (your inputs).<\/li>\n<li><strong>List size:<\/strong> enough unique physicians queued that you&#8217;re not re-dialing the same people too fast.<\/li>\n<li><strong>Refresh trigger:<\/strong> a defined point where list decay forces verification or refresh.<\/li>\n<\/ul>\n<p><strong>Use these exact denominators when you measure:<\/strong><\/p>\n<ul>\n<li><strong>Connect rate<\/strong> = connected calls \/ total dials (report per 100 dials).<\/li>\n<li><strong>Answer rate<\/strong> = human answers \/ connected calls (report per 100 connected calls).<\/li>\n<\/ul>\n<p>One nuance that trips people up: &#8220;human answer&#8221; often includes gatekeepers. If you don&#8217;t track physician-answered as its own disposition, your answer rate can look fine while you&#8217;re barely reaching physicians at all.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Step-by-step_method\"><\/span>Step-by-step method<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><span class=\"ez-toc-section\" id=\"Step_1_Define_the_block_goal_in_physician_conversations\"><\/span>Step 1: Define the block goal in physician conversations<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>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\u2014a screen, a CV request, a referral, or a clean pass.<\/p>\n<p>Dials are effort. Conversations are output. Your hiring manager never feels 200 dials; they feel submitted candidates.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Step_2_Convert_conversations_into_dials_needed\"><\/span>Step 2: Convert conversations into dials needed<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Use your observed connect rate and answer rate to back into how many dials the block requires.<\/p>\n<p><strong>Formulas:<\/strong><\/p>\n<ul>\n<li>Physician conversations per dial = connect rate \u00d7 answer rate \u00d7 physician-share of human answers<\/li>\n<li>Dials needed = target physician conversations \/ (connect rate \u00d7 answer rate \u00d7 physician-share)<\/li>\n<\/ul>\n<p>If you&#8217;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:<\/p>\n<ul>\n<li>Dials needed (simple) = target physician conversations \/ (connect rate \u00d7 answer rate)<\/li>\n<\/ul>\n<p>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\u00d7C, and dials needed equal your target divided by (B\u00d7C).<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Step_3_Size_the_list_so_the_block_doesnt_burn_your_market\"><\/span>Step 3: Size the list so the block doesn&#8217;t burn your market<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Once you know your dials needed, make sure enough unique physicians are queued to cover that number. If you&#8217;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.<\/p>\n<p>The trade-off: bigger lists reduce repeat touches and protect candidate experience, but they demand tighter targeting and a real refresh cadence\u2014otherwise you&#8217;re just dialing more stale numbers, not more good ones.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Step_4_Set_a_refresh_trigger\"><\/span>Step 4: Set a refresh trigger<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>List decay shows up first in your connect rate. Without a defined trigger, you&#8217;ll keep scheduling blocks on a decaying list and blame execution instead of the data.<\/p>\n<ul>\n<li><strong>Refresh cadence:<\/strong> your planned interval for re-verifying and suppressing bad numbers.<\/li>\n<li><strong>Refresh trigger:<\/strong> a rule tied to your own baseline that forces an early refresh.<\/li>\n<\/ul>\n<p>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.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Diagnostic_table\"><\/span>Diagnostic table<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Use this to figure out whether your call block problem is list quality, timing and routing, or follow-up workflow.<\/p>\n<div class=\"table-scroll\" style=\"overflow:auto;-webkit-overflow-scrolling:touch;width:100%\">\n<table class=\"separated-content\">\n<thead>\n<tr>\n<th>What you see (with denominators)<\/th>\n<th>What it usually means<\/th>\n<th>What to do next<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Low connect rate (connected calls \/ total dials, per 100 dials)<\/td>\n<td>Stale or wrong numbers, missing direct lines, weak suppression of bad outcomes<\/td>\n<td>Refresh cadence now; suppress wrong numbers; rebuild the call block list; re-check targeting<\/td>\n<\/tr>\n<tr>\n<td>OK connect rate, low answer rate (human answers \/ connected calls, per 100 connected calls)<\/td>\n<td>Timing mismatch with clinic hours, voicemail-heavy routing, gatekeeper interception<\/td>\n<td>Shift call windows; segment by practice type; track physician-answered separately from gatekeeper-answered<\/td>\n<\/tr>\n<tr>\n<td>OK connect and answer rate, but low next-step rate (next steps \/ physician answers)<\/td>\n<td>Offer mismatch, unclear ask, or inconsistent follow-up<\/td>\n<td>Standardize the next-step ask; tighten notes; schedule follow-ups inside the block itself<\/td>\n<\/tr>\n<tr>\n<td>High variance block-to-block<\/td>\n<td>Mixed segments (specialty, geo, practice type), inconsistent call windows, inconsistent suppression<\/td>\n<td>Run separate blocks per segment; track rates by segment; enforce the refresh trigger<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>Plan each call block around connect rate and answer rate, and make refresh cadence a calendar item, not a hope.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Weighted_checklist\"><\/span>Weighted checklist<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Score your call block plan before you run it. Total 100 points. If you&#8217;re under 80, fix the plan before you spend time on it.<\/p>\n<ul>\n<li><strong>(25)<\/strong> Block goal is written in physician conversations, not dials.<\/li>\n<li><strong>(20)<\/strong> You track connect rate per 100 dials and answer rate per 100 connected calls for this specific segment.<\/li>\n<li><strong>(15)<\/strong> You track physician-answered separately from other human answers (gatekeeper, colleague).<\/li>\n<li><strong>(15)<\/strong> List is sized so you can dial mostly unique physicians within the block, with minimal repeats.<\/li>\n<li><strong>(15)<\/strong> You have a refresh trigger tied to baseline, plus a scheduled refresh cadence.<\/li>\n<li><strong>(10)<\/strong> Suppression rules exist and are enforced (wrong number, requested no contact, do-not-call, gatekeeper-only routing notes).<\/li>\n<\/ul>\n<p>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.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Outreach_templates\"><\/span>Outreach templates<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Short templates built for physician recruiting realities\u2014gatekeepers, tight windows\u2014while staying respectful and compliant.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Template_1_Voicemail_15_seconds\"><\/span>Template 1: Voicemail (15 seconds)<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>&#8220;Hi Dr. [Last Name], this is [Your Name]. I&#8217;m reaching out about a [specialty] opportunity in [region]. If you&#8217;re open to a quick, confidential conversation, call me at [number]. If not, tell me the best way to route this and I&#8217;ll update my notes. Thank you.&#8221;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Template_2_Gatekeeper_routing_question\"><\/span>Template 2: Gatekeeper routing question<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>&#8220;Hi\u2014quick question. I&#8217;m trying to reach Dr. [Last Name] for a confidential recruiting call. What&#8217;s the best time window to catch them between patients, or is there a preferred way to request a call-back?&#8221;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Template_3_Same-day_follow-up_email_after_a_physician_answer\"><\/span>Template 3: Same-day follow-up email after a physician answer<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><strong>Subject:<\/strong> Follow-up \u2014 [Role] in [Region]<\/p>\n<p>&#8220;Dr. [Last Name], thanks for taking a minute today. As promised, here are the basics: [1\u20132 bullets]. If it&#8217;s worth a 10-minute screen, what does your calendar look like this week? If not, reply &#8216;pass&#8217; (or &#8216;stop&#8217;) and I&#8217;ll close the loop and won&#8217;t follow up.&#8221;<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Common_pitfalls\"><\/span>Common pitfalls<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ul>\n<li><strong>Planning by dials instead of conversations.<\/strong> You can hit activity targets and still miss submissions entirely.<\/li>\n<li><strong>Not separating physician answers from gatekeeper answers.<\/strong> Your answer rate can look fine while physician access is the actual bottleneck.<\/li>\n<li><strong>Mixing segments in one block.<\/strong> Specialties, geographies, and practice types behave differently; blending them turns your rates into noise.<\/li>\n<li><strong>No refresh trigger.<\/strong> Decay turns into wasted blocks and recruiter frustration that gets misdiagnosed as an execution problem.<\/li>\n<li><strong>Repeating the same physicians too fast.<\/strong> This burns goodwill and lowers the odds they pick up next time.<\/li>\n<\/ul>\n<p><strong>What decay looks like in practice:<\/strong> 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&#8217;t a longer block\u2014it&#8217;s an immediate refresh: suppress the bad numbers, re-verify what&#8217;s left, and rebuild the list before the next block.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"How_to_improve_results\"><\/span>How to improve results<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><span class=\"ez-toc-section\" id=\"1_Build_a_dials-needed_worksheet\"><\/span>1) Build a dials-needed worksheet<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>This is the simplest way to make call block math repeatable across your team.<\/p>\n<p><strong>Worksheet columns (one row per call block):<\/strong><\/p>\n<ul>\n<li>Date<\/li>\n<li>Segment (specialty + geo + practice type)<\/li>\n<li>Call window (early AM \/ lunch \/ late PM)<\/li>\n<li>Total dials<\/li>\n<li>Connected calls<\/li>\n<li>Human answers<\/li>\n<li>Physician answers<\/li>\n<li>Connect rate = connected calls \/ total dials<\/li>\n<li>Answer rate = human answers \/ connected calls<\/li>\n<li>Physician-share = physician answers \/ human answers<\/li>\n<li>Physician conversations per dial = connect rate \u00d7 answer rate \u00d7 physician-share<\/li>\n<li>Dials needed for next block = target conversations \/ (connect rate \u00d7 answer rate \u00d7 physician-share)<\/li>\n<\/ul>\n<p>Start with the simple version if you don&#8217;t have physician-share tracked yet, then add it once your dispositions are consistent.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"2_Run_a_sensitivity_check_at_5_10_and_15_connect\"><\/span>2) Run a sensitivity check at 5%, 10%, and 15% connect<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>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.<\/p>\n<p><strong>Formula:<\/strong> physician conversations per 100 dials = (connect rate per 100 dials) \u00d7 (answer rate as a decimal) \u00d7 (physician-share as a decimal).<\/p>\n<div class=\"table-scroll\" style=\"overflow:auto;-webkit-overflow-scrolling:touch;width:100%\">\n<table class=\"separated-content\">\n<thead>\n<tr>\n<th>Scenario<\/th>\n<th>Connect rate (per 100 dials)<\/th>\n<th>Answer rate (decimal)<\/th>\n<th>Physician-share (decimal)<\/th>\n<th>Physician conversations per 100 dials<\/th>\n<th>Dials needed for target conversations (A)<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Low list quality<\/td>\n<td>5<\/td>\n<td>Enter your observed value<\/td>\n<td>Enter your observed value (or 1.0 if not tracked)<\/td>\n<td>Use formula above<\/td>\n<td>A \/ ((5\/100) \u00d7 answer rate \u00d7 physician-share)<\/td>\n<\/tr>\n<tr>\n<td>Typical<\/td>\n<td>10<\/td>\n<td>Enter your observed value<\/td>\n<td>Enter your observed value (or 1.0 if not tracked)<\/td>\n<td>Use formula above<\/td>\n<td>A \/ ((10\/100) \u00d7 answer rate \u00d7 physician-share)<\/td>\n<\/tr>\n<tr>\n<td>High list quality<\/td>\n<td>15<\/td>\n<td>Enter your observed value<\/td>\n<td>Enter your observed value (or 1.0 if not tracked)<\/td>\n<td>Use formula above<\/td>\n<td>A \/ ((15\/100) \u00d7 answer rate \u00d7 physician-share)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>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&#8217;s the real cost of skipping a refresh cadence\u2014it&#8217;s a margin problem and a morale problem at the same time.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"3_How_to_measure_it_consistently\"><\/span>3) How to measure it consistently<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Treat each call block as a unit with consistent denominators and segment labels:<\/p>\n<ul>\n<li>Connect rate = connected calls \/ total dials, per 100 dials.<\/li>\n<li>Answer rate = human answers \/ connected calls, per 100 connected calls.<\/li>\n<li>Physician-share = physician answers \/ human answers, per 100 human answers.<\/li>\n<li>Physician conversations per 100 dials = connect rate \u00d7 answer rate \u00d7 physician-share.<\/li>\n<\/ul>\n<p>To make the data usable:<\/p>\n<ul>\n<li>Track by segment and call window\u2014don&#8217;t blend segments in one report.<\/li>\n<li>Use consistent dispositions: wrong number, voicemail, gatekeeper answered, physician answered, requested no contact.<\/li>\n<li>When connect rate drops versus baseline for a given segment and window, trigger the refresh: re-verify, suppress, rebuild.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"Legal_and_ethical_use\"><\/span>Legal and ethical use<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>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 <a href=\"https:\/\/www.fcc.gov\/general\/telephone-consumer-protection-act-1991-tcpa\">Telephone Consumer Protection Act (TCPA) overview from the FCC<\/a>. <span>The TCPA framework continues to evolve<\/span>\u2014the FCC has recently extended compliance deadlines for certain consent-revocation rules and clarified how quiet-hours restrictions apply to text messaging, so it&#8217;s worth checking current guidance rather than relying on older summaries.<\/p>\n<ul>\n<li>Be transparent about who you are and why you&#8217;re calling.<\/li>\n<li>Maintain suppression lists and respect requested no-contact status.<\/li>\n<li>Keep notes minimal and protect candidate privacy.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"Evidence_and_trust_notes\"><\/span>Evidence and trust notes<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>This method is meant to be auditable against your own call block logs and denominators\u2014it doesn&#8217;t rely on assumed rates. For how Heartbeat approaches data quality, verification, and sourcing integrity, see the <a href=\"http:\/\/heartbeat.ai\/resources\/resources\/trust-methodology\/\">Heartbeat Trust Methodology<\/a>. Compliance baseline reference (not legal advice): <a href=\"https:\/\/www.fcc.gov\/general\/telephone-consumer-protection-act-1991-tcpa\">FCC TCPA overview<\/a>. For more on the specific metrics used here, read <a href=\"http:\/\/heartbeat.ai\/resources\/data-quality-verification\/connect-rate-vs-answer-rate\/\">connect rate vs answer rate<\/a>.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"FAQs\"><\/span>FAQs<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><span class=\"ez-toc-section\" id=\"Whats_the_difference_between_connect_rate_and_answer_rate_in_a_call_block\"><\/span>What&#8217;s the difference between connect rate and answer rate in a call block?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>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.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"How_do_I_calculate_dials_needed_for_a_physician_recruiting_call_block\"><\/span>How do I calculate dials needed for a physician recruiting call block?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Use: dials needed = target physician conversations \/ (connect rate \u00d7 answer rate). If you track physician-share (physician answers \/ human answers), include it: dials needed = target \/ (connect \u00d7 answer \u00d7 physician-share).<\/p>\n<h3><span class=\"ez-toc-section\" id=\"How_do_I_know_when_to_refresh_my_call_list\"><\/span>How do I know when to refresh my call list?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>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.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Why_do_my_connects_look_fine_but_Im_not_reaching_physicians\"><\/span>Why do my connects look fine but I&#8217;m not reaching physicians?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>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.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Should_I_plan_call_blocks_by_time_or_by_outcomes\"><\/span>Should I plan call blocks by time or by outcomes?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Plan by outcomes first\u2014physician conversations\u2014then work backward into dials and list size. Time is the container; outcomes are what actually move the search forward.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Next_steps\"><\/span>Next steps<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<ul>\n<li>Build a cleaner call list so your call block math isn&#8217;t built on stale inputs: <a href=\"http:\/\/heartbeat.ai\/resources\/provider-contact-data\/how-to-build-a-physician-call-list\/\">how to build a physician call list<\/a>.<\/li>\n<li>Sanity-check what &#8220;direct dial&#8221; really means before you operationalize it: <a href=\"http:\/\/heartbeat.ai\/resources\/provider-contact-data\/physician-direct-dial-database\/\">physician direct dial database: what to check<\/a>.<\/li>\n<li>Ready to run this with real data? <a href=\"https:\/\/heartbeat.ai\/signup\">start free search &amp; preview data<\/a>.<\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"About_the_Author\"><\/span><b>About the Author<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><a href=\"http:\/\/heartbeat.ai\/resources\/author\/ben-argeband\"><span style=\"font-weight: 400;\">Ben Argeband<\/span><\/a><span style=\"font-weight: 400;\"> 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&#8217;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 <\/span><a href=\"https:\/\/www.linkedin.com\/in\/ben-m-argeband-2427a8a3\/\"><span style=\"font-weight: 400;\">LinkedIn<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><br \/>\n<script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@type\":\"Article\",\"about\":[\"Physician recruiting\",\"Recruiting operations\",\"Call block\"],\"author\":{\"@type\":\"Person\",\"jobTitle\":\"Founder & CEO of Heartbeat.ai\",\"name\":\"Ben Argeband\"},\"headline\":\"Call block math for physician recruiting (dials needed + refresh triggers)\",\"isAccessibleForFree\":true,\"mainEntityOfPage\":{\"@id\":\"https:\/\/heartbeat.ai\/resources\/recruiting-ops\/call-block-math-for-physician-recruiting\/\",\"@type\":\"WebPage\"},\"publisher\":{\"@type\":\"Organization\",\"name\":\"Heartbeat.ai\"}}<\/script><\/p>\n<p><script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Connect Rate = connected calls \/ total dials (per 100 dials). 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Time is the container; outcomes are what move the search.\"},\"name\":\"Should I plan call blocks by time or by outcomes?\"}]}<\/script><\/p>","protected":false},"excerpt":{"rendered":"<p>A recruiter-focused workflow for call block math: compute dials needed from connect and answer rates, size lists, and set refresh triggers.<\/p>","protected":false},"author":5,"featured_media":54355,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_custom_permalink":"recruiting-ops\/call-block-math-for-physician-recruiting","footnotes":""},"categories":[1],"tags":[],"class_list":["post-54356","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\r\n<title>Call block math for physician recruiting: dials needed + refresh triggers<\/title>\r\n<meta name=\"description\" content=\"Plan physician recruiting call blocks using connect rate (connected\/total dials) and answer rate (human answers\/connected). 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