The Indie Founder Data-to-Decision Intelligence Playbook
Query your business data in plain English and make faster decisions
Indie founders drown in disconnected data: analytics in one tab, financial exports in another, and survey responses in a spreadsheet nobody reads. This playbook builds a unified, AI-queryable intelligence layer across your business data so you can ask plain-English questions and get answers in seconds instead of spending Sunday pulling reports together. It is built for technical solopreneurs who have data but no time to analyse it manually.
Goal
Build a unified AI-queryable layer across your analytics, financial, and survey data for instant business decisions
Who this is for
Technical indie founders and solopreneurs managing multiple data sources who want instant answers without manual reporting
When to use
When you have meaningful data across at least two sources (analytics, revenue, surveys) but spend more time pulling reports than acting on them
When NOT to use
If you have fewer than three months of data and no clear metrics; focus on getting to measurable traction first
How to set it up
Make your web analytics AI-queryable
Install Clamp on your site and verify that it is capturing traffic, source, and behaviour data in an AI-readable format. Export the last 90 days of data as a baseline CSV. This becomes your first data source in the unified workspace.
Set up your survey intelligence layer
Migrate any active user surveys or feedback forms to the AI-native survey tool. Run your next user research round through it and pull the auto-generated insights report. Export structured responses for import into Valuepulse.
Build your unified data workspace in Valuepulse
Connect your Clamp analytics export, survey insights, and revenue CSV to Valuepulse. Build three starter dashboards: traffic-to-conversion funnel, revenue by acquisition channel, and top user complaints by frequency. Test five plain-English queries to validate the setup.
Run deep exploratory analysis in Mljar Studio
Export your unified dataset from Valuepulse and load it into Mljar Studio for any analysis that requires custom Python or statistical modelling. Save each analysis as a notebook so you can re-run it on next month's data without rebuilding from scratch.
Automate your weekly data digest
Configure Cogveo to run a scheduled Python job every Sunday night that pulls your latest data exports, generates a five-bullet insight summary, and emails it to you by Monday morning. After two weeks, refine the prompt to surface the three decisions you actually act on most.
Search docs, query data, and build dashboards with AI in one unified workspace
Connects your disparate data sources into a single AI-queryable workspace where you can search documents, run queries, and build dashboards without switching tools.
Make your analytics AI-queryable so agents can track traffic and act on insights
Makes your web analytics queryable by AI agents so Valuepulse can pull traffic and behaviour data alongside your financial and survey data.
Transform survey responses into actionable insights automatically
Transforms survey and user research responses into structured, AI-queryable insights that feed into your unified data workspace automatically.
Local AI data analyst that runs experiments and saves analysis as notebooks
When you need to go deeper than a plain-English query, Mljar Studio runs experiments and saves reproducible analysis notebooks locally without cloud overhead.
Schedule AI agents to analyze files, run Python, and email results automatically
Automates a weekly Python analysis job across your exported data files and emails you a structured insight digest every Monday before your planning session.
Expected outcome
A single AI-queryable workspace where you can ask 'Which acquisition channel has the highest LTV?' and get an answer in under 30 seconds, with automated weekly insight emails
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