MARKET RESEARCH

Analyst Q&A Objection Tracker

Isolates the analyst Q&A section of competitor earnings calls, extracts the toughest questions and how management deflected or addressed them.

CategoryMarket Research
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerScheduled run after earnings dates
  • ActionFind and scrape the transcriptFirecrawl
  • LogicIsolate the analyst Q&A section
  • ActionExtract questions, topics, and response qualityOpenAI
  • OutputLog each question as an Airtable rowAirtableAirtable

What it does

It mines the Q&A portion of competitor earnings calls specifically — the part where analysts press on weak spots. It pulls out the pointed questions, classifies each by topic, and records whether management answered directly or dodged, building a running Airtable log of competitor pressure points.

When to use it

Use it when you want to learn from the questions Wall Street asks your rivals: recurring concerns about churn, margins, or competition that likely apply to you too, and the talking points rivals use to handle them.

How it works

A schedule triggers after earnings dates. Exa locates the transcript and Firecrawl scrapes it. A logic step isolates the analyst Q&A section from the prepared remarks. OpenAI then extracts each notable question, tags its topic, summarizes management's response, and rates how directly it was answered. Each question becomes a row in Airtable with the competitor, quarter, topic tag, and a deflection flag, so you can filter for recurring soft spots across the peer set.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ExaNeural search across the web.
  2. 2
    Connect FirecrawlCrawl, scrape, structured extract.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect AirtableBases, tables, views, automations.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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