Tracked FY21 Q1 → FY24 Q1 · 13 calls in our system
Behavioral baseline · career averages (the “normal” we score every call against)
0.6%
Hedge density baseline (words flagged as hedges / total)
118
Tokens / Q&A turn baseline (median answer length)
7
Recurring boilerplate templates inventoried
3.6 / 10
Career avg Call Weirdness Index
Descriptor sentiment distribution · prepared remarks
Positive 58%
Neutral 31%
Hedged 11%
Reinhardt is a high-positivity speaker by default — which is exactly why a shift toward hedged descriptors carries signal for him specifically.
Per-call history · every call we've scored them on
Click any call to open it. The FY24 Q1 call is his highest-conviction Bearish Lean on record.
Top novel phrases ever used
Descending by scoring significance. Click a phrase to open the call where it appeared.
“appropriately ambitious” — forward guidance · 0 prior uses in 12 calls
9.4 sigFY24 Q1 →
“appropriately adjust guidance over time” — pre-commitment to revision
8.9 sigFY24 Q1 →
“macro environment has become slightly more challenging” — macro qualifier
8.1 sigFY24 Q1 →
“evolving demand signals” — segment demand framing
5.7 sigFY24 Q1 →
“attractive opportunities in the right context” — M&A pipeline hedge
4.8 sigFY24 Q1 →
“levers we control” — first used FY23 Q3
3.9 sigFY23 Q3 →
Recurring boilerplate templates
Sentence frames David reuses, with the variable slot tracked over time. The slot is where the signal lives.
“we delivered another quarter of {DESCRIPTOR} financial performance”
FY21 outstandingFY22 excellentFY23 very strongFY24 solid ↓
“at the beginning of the year, we set out {ADJ} guidance”
FY22 strongFY23 balancedFY24 appropriately ambitious ↓
“we continue to focus on the {OBJECT}”
FY22 growth opportunities aheadFY23 disciplined executionFY24 levers we control ↓
David vs. the median Health Care CEO in our corpus
Hedge density (Q&A)1.3× CEO median
Tokens / Q&A turn0.9× CEO median
Novel-phrase rate / call1.5× CEO median
Descriptor-downgrade frequency2.1× CEO median
Comparisons are against the median CEO in the Health Care sector across our corpus. Reinhardt hedges slightly more than his peers and downgrades his own recurring descriptors more than twice as often — but each call is still scored against his own baseline, not the peer median.
Why this is per-speaker, not generic sentiment
A generic sentiment model reads “solid financial performance” as positive and moves on. We score it against David's own prior calls — where the same boilerplate carried stronger language. The deviation, not the absolute tone, is what carries information. Every metric on this page is calibrated to this one speaker; a new executive builds their baseline over their first several quarters before we score them with confidence.
Compounding tells · FY21 Reinhardt vs. FY24 Reinhardt
FY21 Reinhardt
- • Hedge density 0.4% — leans declarative
- • Descriptors: “outstanding”, “exceptional”, “record”
- • Guidance verb: “raised” / “meaningfully raised”
- • Names specific variables when hedging
FY24 Reinhardt
- • Hedge density 0.9% — up ~2× vs his 2021 self
- • Descriptors: “solid”, “appropriately ambitious”
- • Guidance verb: “maintained ambitious”
- • Vague forward-monitoring (“levers we control”)
The same executive, three years apart, with a measurably different language profile. None of this is visible in a single call read in isolation — it only emerges when each call is scored against the speaker's own longitudinal baseline.
Every executive has a baseline.
Spoken Alpha builds a longitudinal language profile for each of 12,408 speakersat S&P 1500 companies — and scores every new call against the person, not a generic sentiment model.