Failure Is Just Feedback—Use It

My big annoying buzz word over the last few weeks is “data” 🧐 and if we have talked I've probably used it more times than I should . . .

Anything that doesn’t work is data. How you use that data will create something that works, it’s a powerful mindset shift that reframes failure, setbacks, and unexpected outcomes as opportunities for learning and innovation.

So here we go

The Core Idea: Failure ≠ Defeat
- "What doesn’t work is data": Every misstep, flawed result, or "failure" is not a dead end, it’s valuable information. Instead of judging it as “bad,” treat it as neutral feedback.

How to Turn "What Doesn’t Work" into Progress
Step 1: Collect the Data
Ask:
- What exactly didn’t work? (Be specific.)
- What variables were in play? (Timing, audience, execution, assumptions.)
- What did I expect vs. what actually happened?

Step 2: Analyze Without Judgment
- Avoid blame or shame. Instead, dissect the data:
- Was the idea flawed, or was the execution poor?
- Did external factors (timing, competition, resources) play a role?
- What patterns or surprises emerged?

Step 3: Iterate Strategically  (very on brand with my life right now)
- Use the data to pivot, refine, or rebuild.
Pivot: If a product feature isn’t resonating, redesign it based on user feedback.
Refine: If a relationship conflict arose, adjust your communication style.
Rebuild: If a business model fails, use the lessons to create a new one.

Step 4: Test Again
- Apply the revised approach and repeat the process. Each cycle gets you closer to “what works.”

Real-World Applications
In Business
- Example: A startup’s app gets low downloads.
- Data: Users find the onboarding process confusing.
- Action: Simplify the idea/product/xyz and test again.

In Personal Growth
- Example: You set a goal to exercise daily but burn out after a week.
- Data: Your routine was too rigid.
- Action: Switch to a flexible schedule with rest days. You're looking for consistency!

Why This Mindset Works
Removes Fear of Failure: When you see setbacks as data, you’re less afraid to take risks.
Accelerates Learning: Each "failure" becomes a lesson, shortening the path to success.
Encourages Creativity: Constraints and unexpected results often lead to breakthroughs.

Key Questions to Ask When Things Don’t Work
- What did I learn about what doesn’t work?
- What assumptions did I make that were proven wrong?
- What small success or hint of progress did emerge?
- How can I use this data to refine my next attempt?

The difference between stagnation and growth lies in how you interpret and use "failures." By treating them as data, you transform dead ends into stepping stones. The goal isn’t to avoid mistakes, it’s to mine them for insights.

Now what was that Thomas Gates quote, quoting Thomas Edison 🙃 🙂