What we publish
We turn public earnings-call transcripts into structured research on the questions that matter to an investment decision: what changed, which commitments remain outstanding, and where the company's narrative needs closer scrutiny.
The public archive brings together call-sheet previews, company histories, a Management Credibility Index, missed promises, disclosure screens, and public 13F fund holdings. The daily article, Call Sheet Daily, provides the full forensic call sheet: the deeper analysis and the questions to carry into the next quarter.
Earnings Call Intelligence launched as Call Sheet Daily. In October 2026 the publication took the name of the research it does; the daily article keeps the Call Sheet Daily name, and every callsheetdaily.com address redirects to its page here.
Three things we keep separate
Management statements. What executives reported, explained, or committed to on a public call. A statement is attributed to management; it is not independent proof that a claim is correct.
Evidence across quarters. How later disclosures compare with earlier promises, metrics, and guidance. The promise ledger separates resolved outcomes from commitments that remain open. A small or incomplete history deserves more caution than an established record.
Our interpretation. Scores, flags, and research questions express an assessment under the stated methodology. They help prioritize further investigation; they do not establish misconduct or predict a stock's return.
What we look for
Changes in language, metrics that disappear, shifting explanations, and promises that are kept or missed can reveal questions a headline earnings number leaves unanswered. We compare the story with the disclosed financial evidence and identify what still needs verification.
Disclosure Quality and Financial Quality are assessed separately. A clear explanation can accompany weak financial performance, while strong reported numbers can coexist with incomplete disclosure. Keeping the two scores separate makes that distinction visible.
Human judgment and AI
Earnings Call Intelligence is run and curated by a hedge fund veteran with 30 years of experience, publishing under Signal & Evidence. That experience shapes the research approach, the questions we ask, and the interpretation of the findings.
AI assists transcript processing, organization, comparisons, and drafting. Automated analysis can miss context or misread a statement. Source evidence, explicit uncertainty, and corrections remain essential to the research process.
Subscriptions
This website hosts the public research archive. The Call Sheet Daily article, subscriptions, billing, and subscriber accounts are managed on Substack. Institutional coverage and data requests can be discussed directly with the desk.
Contact and corrections
For coverage requests, research questions, or corrections, email zack@callsheetdaily.com. For a correction, include the company, quarter, and the statement or source that needs review.