Your spreadsheets are chaos (and that's okay)

Even companies with dedicated data teams have duplicate records every single day...

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Welcome, AI Strategists

💫 Current thoughts: I've implemented Eloqua, Salesforce, and Marketo for Fortune 500s. Their data is still a mess.

If companies with entire data teams can't achieve spreadsheet nirvana, why are you torturing yourself?

Data cleansing is Sisyphean work that's keeping you from actually using AI. I'm giving you permission to stop. To look forward instead of backward. To build simple rules for tomorrow instead of fixing yesterday's chaos.

Your sanity (and revenue) will thank you. Read more in this week’s blog.

This Week's Breakdown

Weekly Blog

AI News Roundup for SMB Decision-Makers and Marketing Professionals

Prompt of the Week:

Stop wasting time on data cleanup. This prompt helps you identify which 20% of your data actually matters for AI implementation and creates a forward-only governance plan.

You are a data strategist specializing in pragmatic AI implementation for small businesses. I need you to help me identify which data to fix NOW versus what to ignore, using the 80/20 principle.

First, I'll describe my current data situation:

- Business type: [retail/service/consulting/other]
- Main systems used: [QuickBooks/Excel/CRM/other]
- Biggest data pain point: [describe in one sentence]
- Hours per week spent on data tasks: [number]
- AI use case I want to implement: [customer service/marketing/operations/other]

Based on this, provide:
THREE MUST-FIX DATA ITEMS (maximum)
- Only items directly tied to revenue or compliance
- Time estimate for each fix
- Specific validation rule to prevent future issues

FORWARD-ONLY RULES (5 maximum) Create simple, specific rules like:
- "Customer names: dropdown only, no free text"
- "Invoice numbers: auto-generate with PREFIX-YYYY-####"

IGNORE LIST Explicitly tell me what NOT to waste time fixing

IMMEDIATE AI ACTION One AI implementation I can start TODAY that doesn't require my historical data

How Canva, Perplexity and Notion turn feedback chaos into actionable customer intelligence

Support tickets, reviews, and survey responses pile up faster than you can read.

Enterpret unifies all feedback, auto-tags themes, and ties insights to revenue, CSAT, and NPS, helping product teams find high-impact opportunities.

→ Canva: created VoC dashboards that aligned all teams on top issues.
→ Perplexity: set up an AI agent that caught revenue‑impacting issues, cutting diagnosis time by hours.
→ Notion: generated monthly user insights reports 70% faster.

Stop manually tagging feedback in spreadsheets. Keep all customer interactions in one hub and turn them into clear priorities that drive roadmap, retention, and revenue.

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