See What's Really Happening Across Your Business

Intuifi is a platform that brings together qualitative data scattered across your company's tools and turns it into an unfiltered report you can drill into.

Your report

What's happening
Renewal risk rising in 3 accounts
Why it matters
Fix already logged in the backlog, unprioritised
Evidence behind it
9 signals linked

Your report

What's happening
Renewal risk rising in 3 accounts
Why it matters
Fix already logged in the backlog, unprioritised
Evidence behind it
9 signals linked

*Examples. Intuifi currently works by analysing data you export from one or more tools like these.

If your company has grown enough that revenue, product and customer service are each handled by their own team, you'll recognise these challenges.

Challenges

Evidence is scattered across teams and tools, making the full picture hard to see

It's on leaders to build the full picture, because no team sees it all

Using AI saves time, but without the evidence it is hard to trust the output

Intuifi
Outcomes

Get a shared view of evidence from across the tools your teams already use

See what emerges across every team, including patterns trapped in silos

Each finding links back to the source, so you can verify what you need to

See what Intuifi finds in your own data.

Export your data, then choose how to submit it.

See an example report
Free during early access

No credit card, no contract, in exchange for your feedback.

Your data stays yours

Files are deleted as soon as your report is generated.

The person behind this

Chris Burgess

I am Chris Burgess, a product leader with 15 years of experience across startups, scale-ups, and a Fortune 100 company. I built Intuifi because I kept seeing how difficult it was for leaders to get a reliable picture of what was happening across a scaling business. Evidence was scattered across teams and tools, summaries lost context, and decisions were too often made without a clear view of what supported them. I am fixing that.

Frequently asked questions

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How does it actually work?
Upload CSVs from the tools your teams already use - such as CRM records, support tickets or product backlogs. Intuifi analyses everything across all your files, identifies the recurring themes, patterns and tensions, and produces a structured report. You start with a high level summary and can drill down into the evidence behind any finding whenever you need to.
What effort is involved and how much of my time does this take?
Simply ask your team to export the data from the tools they are using. Then upload those files in a few clicks and sit back while the analysis happens. There is nothing to configure and no prompting required. Around five minutes later you will get back a structured report with an executive summary, the key themes across your data, and the evidence behind each one. From there you can share it with your team, use it to prepare for a planning session, or just keep it as a reference point.
What results can I expect?
The report opens with an executive summary of the key themes and tensions across your data. Each theme comes with supporting evidence, an implication for your business, and signals to track. For example, a theme might read "Renewal risk rising in 3 accounts", with the evidence behind it (matching signals from CRM, support tickets and the engineering backlog) linked directly beneath, and an implication such as "the related fix is already logged in the backlog but hasn't been prioritised." Everything links back to the source so you can verify what matters. To see exactly what you get, take a look at this sample report.
This looks like a manual process. Why?

This is an MVP and the decision to keep it manual is deliberate. I am looking to build trust, and the way I am approaching that is to reduce any concerns you might have about your data, by enabling you to edit or sanitise anything you want to upload before it reaches Intuifi. Automation is coming, but only once I am confident you are getting the insight you need.

Here is where Intuifi is heading:

Now

On-demand reports

Upload your data, get back a structured report with themes, priorities and evidence.

Next

Automated data ingestion

Connect directly to the tools your team already uses.

Pattern memory

Track how themes and issues change across reports over time.

Continuous monitoring

Alert your team when new trends emerge.

Later

Interactive discovery

Ask follow-up questions and let Intuifi investigate for you.

Contextual input

See how market needs align with your business goals.

Strategic simulation

Explore how market headwinds could reshape your priorities.

How is my data handled?
The files you upload are processed to generate your report and then deleted. Nothing is stored, nothing is retained, and I never see your data at any point. Intuifi does not train on your data.

For more information:
Anthropic data usage
MindStudio privacy policy
How accurate is the output?
That depends on the quality of the data you upload. Intuifi analyses what is there and surfaces the patterns it finds across it. It will not always get every theme right, and some findings may reflect noise rather than signal. That is why every finding links back to the source data, so you can check what looks right, discard what does not, and act with confidence on what remains. The analysis is a starting point, not a verdict.
How is this different from a typical dashboard?
This is not another dashboard. Dashboards usually present quantitative data and leave the interpretation to you. Intuifi works differently. It takes qualitative evidence like CRM records, support tickets, product backlogs and notes, then turns it into a structured report with clear themes, strategic implications, and the evidence behind each one. You are not exploring charts. You are seeing what is happening across the evidence your teams already hold, and why it matters.
Why would I not just use ChatGPT or Claude?
You shouldn't have to spend your time prompt engineering just to understand what is happening across your business. You still have to prepare your data, structure your questions, interpret the output, and turn it into something another person can review and trust. Intuifi removes that friction. Upload your files as they are and get back a structured report with themes, priorities, and the evidence behind every finding.
Why not just get my team to build this?

Vibe coding tools make it easier than ever to build something that generates an initial output. The harder part is making it consistent, objective, and trustworthy enough to guide strategic business decisions. Doing it in-house brings back the exact problems you are trying to fix:

  • Unbiased truth: You need an objective picture of what is happening across your business. If an internal team writes the rules for how data gets analysed, they inevitably control what gets highlighted and what gets buried, whether intentionally or not. This is particularly true when feedback points to issues with their own team's work.
  • Ongoing maintenance: In-house scripts rarely last more than a few months. As file formats change and new software is introduced, internal tools quietly break. Keeping a side project working will never take priority over your main product roadmap, so the tool is eventually abandoned.
  • Team focus: Your engineers should spend their time building your core product and growing the business, not fixing broken file imports, tweaking prompts, or checking inaccurate outputs.
Won't this become obsolete as AI improves?
The opposite. As AI becomes more capable, so does Intuifi. The methodology that structures your data, preserves the evidence, and produces something your team can trust is built on top of AI, not instead of it. A more powerful engine makes the output better, not unnecessary. What stays constant is the structure that makes the insight trustworthy and actionable.