No-code & automation workflows

No-code lead qualification workflow

Inbound leads include great fits, casual browsers, and time-wasters — and you waste hours sorting them.

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Audience
No-code & automation workflows
Problem
Inbound leads include great fits, casual browsers, and time-wasters — and you waste hours sorting them.
Outcome
Every inbound lead lands with a clear 'reach out today / next week / never' label and an explainer line before you read it.
Tools used
  • Your form/intake source
  • A no-code automation runner of your choice
  • An LLM in scoring-only mode
  • A CRM/spreadsheet
Time required
3 hours to wire · 5 minutes per day to review
Difficulty
Medium

Steps

  1. Define 'great fit' in 5 hard criteria: role, company size, budget signal, urgency wording, exclusion rule.
  2. Have an LLM score new leads against the criteria — output: tier (now/soon/never) + 1-line reason.
  3. Send tier + reason into your CRM/spreadsheet, never the raw LLM rationale prose.
  4. Spot-check 20% of 'never' classifications every week for false negatives.
  5. Retire any criterion that doesn't change a decision after 30 days.

Example output

Lead: ops manager, mid-size healthcare ops team, mentions burnout from manual call routing. Tier: now. Reason: clinical-adjacent ops + urgency wording.

Human-review point. Founder/owner reviews 'now' tier same-day and a 20% sample of 'never' tier weekly. AI never auto-emails leads.
Privacy notes. Strip personal contact info before sending lead content to a third-party LLM, or use a local model. Do not store free-text lead messages outside your CRM.

Fork and remix ideas

  • Adapt for inbound partnership requests.
  • Adapt for job applications with explicit 'never use for protected categories' rules.
  • Adapt for community-bot upgrade requests.
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