Total Calls
17
Avg 10.8m duration
Team Metrics
Sales Reps - Evaluate 100% of interactions with full visibility.
Reps gain complete visibility into how conversations actually unfold - not just outcomes, but execution. HealthcareSales AI captures and evaluates every interaction against defined standards, revealing patterns across individuals and the entire team. This makes self growth objective, scalable, and repeatable, turning performance data into clear direction for improvement, accountability, and consistent results.
POST-CALL ANALYSIS · SCORE · COACH · SCALE
Post-Call Analysis for Healthcare Sales Teams
HealthcareSalesAI turns every call into structured performance data. Leaders can review call outcomes, scores, clinical framing, objection handling, compliance risk, and next-step quality across the team. Use search and filters to isolate patterns by rep, product, and call type, then coach the exact behaviors that improve consistency and conversion. This is how you standardize execution, reduce variance, and scale what works across the entire commercial org.
For Sales Leaders.
Spot patterns fast, coach with proof, and set a repeatable standard your team can execute.
For Reps.
Know exactly what to practice — and what to say when “we already have a vendor” or “send me info” shows up.
Average Score (≥ 2 min)
60.7/100
Consistency improving
Best Score (≥ 2 min)
82
Lowest: 11
Excellent Calls
0
0% of calls
Recent Call Summaries
Click any call to see highlights, coaching points, and the full transcript.
Last updated: 1/7/2026
82/100
Hospital System · Care Coordination
Dec 15 · 07:12 PM•8m
•Strong next step
Leader sees: what to replicate
55/100
Multi-Site Clinic · Scheduling Ops
Dec 15 · 06:57 PM•4m
•Missed discovery
Rep gets: exact fixes
62/100
Health Plan · Utilization Team
Dec 15 · 06:46 PM•5m
•Objection drift
Leader sees: why it slipped
48/100
ASC · Procurement Review
Dec 15 · 10:03 AM•12m
•Weak stakeholder map
Rep gets: practice plan
20/100
Digital Health · Security Concerns
Oct 23 · 02:07 PM•6m
•Off-message
Leader sees: training gap
How to use this:
pick one “green” call to replicate, one “red” call to repair, and coach the pattern — not the person.
That’s how “we already have a vendor” turns into “who needs to be on the pilot review?”
CALL REPLAY · MESSAGE BALANCE · TRANSCRIPT
Full Transcript + Message Balance for Healthcare Sales Calls
This is how healthcare sales leaders turn conversations into coaching data and remove guesswork. Leaders get a time-aligned record of what actually happened on the call. Message balance quantifies control, discovery depth, and buyer engagement. Teams use this to spot where clinical framing landed (or didn’t), where differentiation showed up, and where next steps were earned or missed—then coach to those exact moments.
82/100
Call score
Message Distribution
Interpretation: If the rep is above ~65% consistently, discovery usually compresses. If the buyer is above ~55%, control and next-step capture typically degrade.
Full Conversation Transcript
Buyer
07:12:21 PM
Hey—yeah, we can talk. What’s this about?
Rep
07:12:24 PM
Hi—this is Jennifer. I’ll keep this tight. Are you focused right now on reducing no-shows, improving outreach, or increasing post-visit follow-through?
Buyer
07:12:53 PM
No-shows. It’s hurting throughput and the staff is tired of the churn.
Rep
07:13:08 PM
Got it. Two baselines so we don’t guess: what’s your current no-show rate, and how are reminders handled today—manual calls, SMS, or portal only?
Buyer
07:13:29 PM
It varies, but it’s bad. Mostly manual calls. Some texts if we remember.
Rep
07:13:47 PM
That explains the variance. When reminders depend on staff time, outcomes swing. If we automate the sequence and confirm responses, would reducing even a small slice of no-shows make this worth evaluating?
Buyer
07:14:05 PM
Maybe. We already have a vendor for reminders though.
Rep
07:14:22 PM
Totally fair. The question is performance. If your current vendor was consistently reducing no-shows, would we be having this conversation? What’s the gap you still see week to week?
Buyer
07:14:51 PM
We can’t measure it cleanly, and adoption is mixed. I can’t take a risk that disrupts operations.
Rep
07:15:10 PM
Agreed. Next step should be a controlled pilot: one clinic, defined baseline, two-week measurement, and no workflow disruption. If we can show improvement and clean reporting, we expand. Can we pick a pilot site and a 20-minute review time this week?
TEAM VIEW · USAGE · QUALITY · OUTCOMES
Team-Level Execution, Fully Quantified
This view gives healthcare sales leaders a real-time snapshot of rep execution across calls, minutes, and outcomes. See who is active, how capacity is being used, and where performance is trending—without digging into individual calls. Scores, usage, and recency surface coaching priorities, outliers, and who needs help before the quarter gets spicy.
Total Reps
16
16 active, 0 suspended
Total Calls Reviewed
342
Avg 22.8 per rep
Total Minutes Analyzed
1,486
Avg 4.3m per call
Team Avg Score
71/100
Trending up this week
Rep Performance Metrics
Usage + quality signals across healthcare sales calls
| Rep | Status | Calls Reviewed | Minutes Analyzed | Remaining | Avg Score | Last Updated | Actions |
|---|---|---|---|---|---|---|---|
|
SL
Steve Smith
ssmith@gmail.com
|
Active | 18 · 18 scored | 74 · Avg 4.1m | 0 calls · 0 mins | 72 Solid | Jan 7, 2026 | ↗ |
|
JM
Jordan Miles
jordanmiles@gmail.com
|
Active | 26 · 26 scored | 112 · Avg 4.3m | 0 calls · 0 mins | 89 Excellent | Jan 7, 2026 | ↗ |
|
AR
Alyssa Reed
alyssareed@gmail.com
|
Active | 24 · 24 scored | 98 · Avg 4.1m | 0 calls · 0 mins | 84 Strong | Jan 7, 2026 | ↗ |
|
KC
Kendra Collins
kendracollins@gmail.com
|
Active | 21 · 21 scored | 88 · Avg 4.2m | 0 calls · 0 mins | 76 Solid | Jan 6, 2026 | ↗ |
|
DT
Derrick Tate
derricktate@gmail.com
|
Active | 28 · 28 scored | 120 · Avg 4.3m | 0 calls · 0 mins | 81 Strong | Jan 6, 2026 | ↗ |
|
NV
Nina Vaughn
ninavaughn@gmail.com
|
Active | 19 · 19 scored | 80 · Avg 4.2m | 0 calls · 0 mins | 74 Solid | Jan 6, 2026 | ↗ |
|
MB
Marcus Brooks
marcusbrooks@gmail.com
|
Active | 23 · 23 scored | 101 · Avg 4.4m | 0 calls · 0 mins | 68 Coachable | Jan 5, 2026 | ↗ |
|
TP
Tessa Parker
tessaparker@gmail.com
|
Active | 20 · 20 scored | 87 · Avg 4.3m | 0 calls · 0 mins | 79 Strong | Jan 5, 2026 | ↗ |
|
LS
Logan Shaw
loganshaw@gmail.com
|
Active | 27 · 27 scored | 116 · Avg 4.3m | 0 calls · 0 mins | 58 At Risk | Jan 5, 2026 | ↗ |
|
CH
Carmen Hill
carmenhill@gmail.com
|
Active | 22 · 22 scored | 94 · Avg 4.3m | 0 calls · 0 mins | 71 Solid | Jan 4, 2026 | ↗ |
|
RB
Riley Bennett
rileybennett@gmail.com
|
Active | 25 · 25 scored | 109 · Avg 4.4m | 0 calls · 0 mins | 63 Needs Coaching | Jan 4, 2026 | ↗ |
|
EW
Evan Wright
evanwright@gmail.com
|
Active | 29 · 29 scored | 131 · Avg 4.5m | 0 calls · 0 mins | 92 Elite | Jan 4, 2026 | ↗ |
|
BP
Brielle Patel
briellepatel@gmail.com
|
Active | 31 · 31 scored | 144 · Avg 4.6m | 0 calls · 0 mins | 86 Strong | Jan 2, 2026 | ↗ |
|
OS
Omar Silva
omarsilva@gmail.com
|
Active | 16 · 16 scored | 69 · Avg 4.3m | 0 calls · 0 mins | 54 At Risk | Jan 3, 2026 | ↗ |
|
WG
Wyatt Grant
wyattgrant@gmail.com
|
Active | 23 · 23 scored | 104 · Avg 4.5m | 0 calls · 0 mins | 66 Coachable | Jan 2, 2026 | ↗ |
Complete visibility into your healthcare sales floor.
HealthcareSalesAI turns calls into clear coaching signals—so you standardize discovery, protect compliance, and scale what converts.
Spot conversion leakage
See where deals stall: weak discovery, missed clinical criteria, unclear next steps, and follow-up gaps.
Reinforce compliant talk tracks
Track script adherence and risk signals—without listening to hours of calls or guessing what was said.
Coach with receipts
Use talk/listen ratio, objection moments, and score drivers to coach the exact 30 seconds that changed the outcome.
Reduce risk + surprises
Catch quality dips, compliance gaps, and coaching needs early—before they hit revenue, churn, or brand trust.
Built for healthcare teams that sell on the phone.