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Healthcare
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Supply Chain & Logistics150 calls a day means nothing if the calls are bad. At seed, QA is your fastest feedback loop on whether the entire GTM hypothesis is working.
What gets QA'd
What Gets QA'd
Every call and every email reviewed the same day. Call QA and Email QA, checked before bad habits compound.
01
Call QA: Opening and hook delivery
Does the first 15 seconds earn the next 30?
02
Call QA: Pain discovery depth
Are they finding real problems or checking boxes?
03
Call QA: Qualification accuracy
Budget authority identified, or booking meetings with people who can't buy?
04
Call QA: Objection handling
Navigating objections or folding at the first pushback?
05
Call QA: Handoff quality
Does the AE get full context or start from scratch?
06
Email QA: Subject line effectiveness
Open rates tracked per variant
07
Email QA: Personalization quality
Company-specific, role-specific, pain-specific
08
Email QA: CTA clarity
One clear ask. Not three options.
09
Email QA: Sequence cadence
Right message at the right interval
10
Email QA: Compliance language
Every email checked for regulated verticals
Machine speed, human judgment
Why QA matters at seed
- Find signal
- At seed, every call is an expensive experiment. You are burning runway with every dial. QA at seed is not about maintaining standards. It is about finding signal.
- Read the market
- Which ICP segment is responding. Which messaging framework converts. What objections keep coming up. Whether qualification criteria are letting bad leads through. None of that shows up in a call count. It shows up in QA.
- Catch it early
- Most seed companies wait until the end of the month to review performance. By then, the bad habits are baked in, the pipeline is thin, and the pivot costs double what it would have on day three.
QA is your fastest feedback loop on whether the GTM hypothesis is working. Fix it on day two. Not month two.
The stack
How Metrics Drive Iteration
Not month-end retrospectives. Real-time hypothesis testing with same-day course correction.
- Segment A vs B pivot decisionSegment A (mid-market SaaS, VP Sales) converts from call to meeting at 4%. Segment B (enterprise logistics, Director of Ops) converts at 0.5%. We shift resources to Segment A on day three. The playbook updates that afternoon. The daily huddle tomorrow confirms the pivot.
- The full funnel, tracked dailyNot just how many calls did we make. How many calls converted, at every stage. If your connection rate is 8% but your meeting rate is 2%, the problem is not volume. It is the conversation. We catch that on day two, not month two.
- Every number drives a changeEvery metric has a target. When actual falls short, the action happens that day, not that quarter. Nothing sits in a report. Everything drives a change.
FAQ
Frequently asked questions
Every call is reviewed for opening quality, pain discovery depth, qualification accuracy, objection handling, and handoff quality. Every email is audited for subject line effectiveness, personalization, and CTA clarity. Findings feed into the daily huddle the same day.
Connection rate (target 8%+), meeting rate (target 3%+), show rate (target 80%+), qualification accuracy (target 90%+), email reply rate (target 4%+), and QA call score average (target 7/10+). Every metric has an action attached -- nothing sits in a report.
If your connection rate is 8% but your meeting rate is 2%, the problem isn't volume -- it's the conversation. QA catches that on day two, not month two, so you can fix messaging and objection handling before bad habits compound.
Full funnel conversion: connection rate (8%+), meeting rate (3%+), show rate (80%+), qualification accuracy (90%+), email reply rate (4%+). Tracked daily, not monthly.
Industry benchmarks vary, but Phi targets 8%+ connection rate, 3%+ meeting rate, and 80%+ show rate. The key is tracking daily so you can catch problems on day 2, not month 2.
See what this QA framework looks like for your company
30-minute call. Your market, your pipeline, what is not converting. We will show you how fast we can move.