Call Extraction: MedScout x CDL Platform Feedback

DDX ID: 0166 Date: 2025-12-18 Duration: ~17 minutes Participants: Robb Gosling (Sales, private practice West) — CDL Nuclear. Meaghan DePeter (CSM), Andrew Janatka (Head of Product) — MedScout. Call type: Product feedback session — Robb walked through his prospecting workflow and surfaced usability friction. Triage: Moderate. Most of the call is platform UX feedback (map reset, click bugs, timeframe confusion). The fingerprint material is Robb’s 500 SPECT threshold as qualification criteria and the data timeframe implications for equipment sales. 3 distinct insights.

Distinct Insights

1. Robb’s 500 annual SPECT threshold as equipment sales qualification floor

What: Robb asked: “Is there a way for me to put a threshold on this? It says, I only want to see people that are doing at least 500 spec in a year.” When the capability wasn’t available, he described the workflow cost: clicking into each physician individually to check volume, then determining whether they meet his minimum before pursuing.

So what: The 500 annual SPECT procedure threshold is Robb’s field-level qualification criterion for equipment sales viability. Here’s the math logic: CDL sells PET/PET CT cameras to practices. A camera represents a significant capital investment (equipment, construction, isotope supply, staffing). To justify that investment, the practice needs enough patient volume to generate return on the equipment. If a cardiologist is only doing 118 SPECT procedures per year (one of Robb’s examples), converting them to PET likely doesn’t generate enough volume to justify the equipment cost. At 500+ annual SPECT, the practice has demonstrated sufficient patient throughput to warrant a PET camera installation. This threshold is Robb’s number, and it may differ from the platform’s configured floor of 200 (per context). The gap between 200 (platform floor) and 500 (Robb’s floor) means Robb is manually filtering out 60% of prospects the platform surfaces — a significant efficiency loss. Note: the 800+ SPECT/year threshold mentioned in the context as “real field threshold” is for the highest-priority targets. Robb’s 500 threshold represents the minimum viable prospect, below which he won’t pursue.

Speaker credibility: Robb Gosling, VP West Private Practice / active BDM. High — this is his working qualification number. Scope: Private practice equipment sales qualification. Motion: Private practice.

2. Mixed data timeframes create false volume signals that misqualify equipment prospects

What: Robb discovered that the platform was showing Medicare data for 12 months (2024) combined with commercial payer data for ~23 months (2024 through November 2025). His reaction: “So it’s really like 22 months of data then, or 23 months of data?… So that can make me think that a group is busier than what they really are.” He proposed a fix: “I think it’d be better if you just gave me a year of each. So give me your last year you have of the last 12 months you have of private payer, and just the last 12 months and the last 12 months you have of Medicare.”

So what: For CDL’s equipment sales, inflated volume numbers don’t just waste a sales call — they can drive wrong decisions about capital equipment placement. If Robb thinks a practice does 600 SPECT annually based on 23 months of blended data, but actual annualized volume is 400, he might pursue a prospect that doesn’t justify the PET camera investment. The practice commits to equipment they can’t utilize fully, and CDL ends up with underperforming installations. Robb’s preference for real 12-month windows (even if Medicare and commercial windows don’t perfectly align) over projected or blended data reveals a field-level pragmatism: he’d rather have slightly imperfect but honest data than artificially smoothed numbers. When Andrew suggested data science projections to normalize timeframes, Robb rejected it flat: “Not really, I think it’d be better if you just gave me a year of each.” CDL’s sales team trusts raw data over modeled data.

Speaker credibility: Robb, experiencing this issue during live prospecting. High. Scope: All CDL reps using claims data for volume-based qualification. Motion: Both (volume qualification applies to hospital and private practice, though thresholds likely differ).

3. Robb’s territory-saturation prospecting methodology — systematic geographic sweep

What: Robb demonstrated his workflow: zoom into a specific area (Lakeway, TX), identify all flagged physicians, click into each one to evaluate volume, then return to the map to evaluate the next. He quantified the repetition: “having to do that, you know, 15, 20 times is, you know, just a little time consuming.” He said: “I got really good at knowing where Lakeway was” from repeated re-zooming.

So what: Robb works a territory by saturating a geographic cluster — he doesn’t cherry-pick individual high-volume targets from a list. He zooms into an area and evaluates every flagged physician within that cluster sequentially. This is a different methodology from Doug’s “fly in and plant a flag” trips (0684) — Doug picks a city for a blitz visit, while Robb appears to be doing desk-based research to systematically evaluate an entire micro-geography before deciding which providers to pursue. Both approaches share the need for geographic filtering and within-cluster ranking, but Robb’s approach generates more sequential map interactions (15-20 per cluster), making the map-reset UX issue much more costly for his workflow. The insight for the fingerprint: CDL’s private practice BDMs use geographic saturation as a prospecting method, meaning their data platform needs to support efficient cluster-by-cluster evaluation, not just top-N lists.

Speaker credibility: Robb, demonstrating live. High. Scope: Private practice BDM workflow. Motion: Private practice.

Transcription Notes

“Cdlnuclear” used as one word throughout the MDCN — should be CDL Nuclear (two words).
“spec” used throughout — transcription of SPECT. Consistent with other transcripts.
“pet ct” — should be PET CT or PET/CT. Not an error per se, just inconsistent capitalization.
Andrew Janatka identified as Head of Product at MedScout. Not previously named in the term bank. Worth adding.
“IOT” appears multiple times in the MDCN insights section — this is MDCN processor shorthand for “in order to.” Not a transcription error from the call itself.
Robb noted as going on vacation to Cabo and Costa Rica for two weeks after this call — context for follow-up timing.
The MDCN labels Robb as “Sales Representative” but context establishes him as VP West Private Practice (recently promoted to lead that division per Feb 2026 context). The MDCN may have been generated before the title was confirmed.

Term Bank Addition Candidates

Andrew Janatka = MedScout Head of Product. Appeared on this feedback call.
Dr. Mazza = Rhode Island cardiologist working with Kendall on CON case (from 0101, flagging here as well).