Research-Try-Talk Adaptation Loop
Study emerging change, test it directly, then learn through conversation.
- Difficulty
- Easy
- Time to result
- ~days to results
- Steps
- 5
- Confidence
- 99%
The Research-Try-Talk Adaptation Loop converts an unfamiliar trend into informed strategic judgment through three repeatable actions. First, research the technology, platform, or market shift immediately, focusing on why it has attracted attention rather than whether existing opinions approve of it. Second, create an account or conduct a limited practical test to experience its mechanics firsthand without committing the organization to adoption. Third, talk with users, peers, communities, and specialists to compare observations and discover use cases or limitations. The output is an evidence-based decision to adopt, monitor, or reject the change. Repeating the loop prevents reflexive resistance while avoiding the opposite mistake of chasing every novelty.
Origin
Dan Fleyshman presented these three actions when Jasmine Star asked how business owners can embrace rapid change such as AI and new social platforms. Extracted from The Jasmine Star Show.
Core principles
- 01Curiosity should precede judgment.
- 02Direct experience reveals what commentary cannot.
- 03Conversation exposes use cases, objections, and patterns.
- 04A test is not a commitment to full adoption.
- 05Early understanding preserves strategic choice.
How to run it
- 1
Notice the signal
Identify a tool, platform, or behavior that is generating sustained discussion or unusual adoption. Frame a specific question about why it is catching fire.
Pro tip Follow signals from customers and practitioners, not only headlines.
Watch out Attention alone does not prove lasting value.
- 2
Research immediately
Learn what the development does, why people care, who is using it, and what changed to make it possible. Seek enough understanding to form testable expectations.
Pro tip Study both successful use cases and credible criticism.
Watch out Do not substitute a dismissive label or enthusiastic slogan for actual understanding.
- 3
Run a small test
Create an account, use the tool, or conduct a bounded experiment. Observe its workflow, output quality, limitations, and relevance to the business.
Pro tip Choose a reversible test that can be completed quickly and cheaply.
Watch out Testing does not require exposing sensitive data or deploying the tool to customers.
- 4
Talk to people
Discuss the test with active users, informed peers, and relevant communities. Compare how different people use the development and what results they obtain.
Pro tip Ask for concrete workflows and outcomes rather than general predictions.
Watch out Avoid relying exclusively on promoters who benefit from adoption.
- 5
Choose and revisit
Decide whether to adopt, continue experimenting, monitor, or reject the development. Set a trigger or date for reassessment because emerging tools change rapidly.
Pro tip Record the evidence behind the decision so the team can update it later.
Watch out A past rejection should not become permanent dogma when the technology changes.
In the wild
A business owner first researches what ChatGPT can do and why it is generating attention. They then create an account and test it on a low-risk internal drafting task before discussing results with peers who use it for different workflows.
→ The owner makes an informed, bounded adoption decision instead of either dismissing AI or deploying it everywhere.
A marketer notices a new platform gaining traction, studies its audience and mechanics, creates a basic account, publishes several native posts, and compares experiences with early users in industry communities.
→ The marketer learns whether the platform merits investment while the cost of experimentation remains low.
Common mistakes
Dismissing before understanding
Rejecting a development because it sounds overhyped removes the chance to evaluate its actual mechanics and relevance.
Confusing a test with commitment
Teams may avoid experimentation because they assume creating an account obligates full adoption.
Researching without touching the tool
Secondhand analysis cannot fully reveal usability, workflow friction, or practical output quality.
Is it for you?
Best for
It is best for entrepreneurs and teams facing fast-moving platforms, tools, and consumer behavior.
Not ideal for
It is not ideal when even a small experiment would create unacceptable legal, security, or reputational risk.
From the transcript
“First thing is, I research everything before it even becomes big. I just want to know.”
“Two try it like make an account.”
“Research the thing, try it out, and then talk to people about it.”
From the episode
Influencer Marketing and Running MULTIPLE Businesses at Once: What You Need to Know with Dan Fleyshman
Dan Fleyshman