The Complete R&D Project "Launch with AI" Guide

5 min

Combining Functional Thinking with AI

Introduction

An overwhelming majority of R&D innovations do not see the light of day. There are so many reasons and in our experience, chief of all, is most companies' blindspot: the part of a project where traditionally the least time and expense is exhausted…

The beginning!

Starting an R&D project right is crucial for its success.

Should you NOT to be using our scouting services or our software, then this is the next best thing we can offer: A guide combining two approaches we put to use:

  1. Functional thinking - focusing on what needs to be accomplished rather than how - this is the basis for Findest’s scouting service success and the underpinning of how our AI thinks about your challenges.
  2. AI-enhanced exploration - using generative AI to broaden perspectives and challenge assumptions - today people misuse AI by outsourcing their thoughts when they should be using it for what it is: the greatest brainstorming partner/research intern that has ever existed.

In this guide, we’re opening up Pandora’s box to give you some practical exercises that will supercharge & backflip-ninja-kick all of your project’s potential issues into dust!

How to Use This Guide

  • Work through each check sequentially
  • Use the AI prompts to enhance your thinking
  • Document your findings systematically
  • Maintain focus on functions over solutions

1. The “Functional-Challenge-Definition” Check

What to do: Transform your specific challenge into functional requirements that describe what needs to be accomplished, not how.

How to do it:

  • Schedule a 2-hour session with key team members
  • Start with your specific challenge
  • Ask "What is this trying to achieve?" repeatedly until you reach core functions
  • Transform into "Job to be Done" statements
  • List all functions without specifying solutions

Example Transformation:

Specific: "Create a longer-lasting phone battery"

Less specific: "Store more energy in the same space"

Functional: "Maintain device operation for desired duration"

Core function: "Ensure continuous energy availability for portable devices"

Using AI to Support Functional Thinking

Initial Problem Transformation:

Prompt: "I'm working on [your specific challenge]. Help me transform this into functional requirements by:
1. Removing all references to specific technologies or solutions
2. Expressing it as 'Jobs to be Done'
3. Making it industry-agnostic
4. Identifying the core function being performed

For each version, explain why it's more functional than the last."

Function Validation:

Prompt: "For this functional requirement: [your functional statement]
1. In what other contexts is this same function needed?
2. What industries face similar functional challenges?
3. How does nature accomplish this function?
4. What might make this statement still too solution-specific?"

Warning Signs:

  • If your description includes specific technologies
  • If it couldn't apply to other industries
  • If AI responses focus on specific solutions rather than functions

2. The “Solution-Space-Mapping” Check

What to do: Create a visual map of all existing solutions to your functional challenge, across all industries and nature.

Using AI for Solution Discovery

Broad Solution Search:

Prompt: "For the function [your function]:
1. Generate examples of how this function is achieved in:
  - Nature (biological systems)
  - Traditional practices across cultures
  - Different industrial sectors
  - Emerging technologies
2. For each example, explain the core mechanism without technical jargon"

Pattern Recognition:

Prompt: "Analyze these solutions to [your function]:
[List your found solutions]
1. Identify common principles across solutions
2. Highlight unique approaches
3. Suggest potential hybrid approaches
4. Identify which aspects are truly essential vs implementation-specific"

3. The Assumptions Audit

What to do: Challenge all assumptions about why specific solutions are needed.

Using AI for Assumption Testing

Assumption Identification:

Prompt: "For our project [describe project], help identify hidden assumptions by:
1. Listing potential assumptions about:
  - User needs
  - Technical feasibility
  - Market conditions
  - Resource requirements
2. For each assumption, explain:
  - Why we might believe this
  - What evidence we'd need to verify it
  - Potential alternative perspectives"

Assumption Challenge:

Prompt: "Play devil's advocate for these assumptions:
[List your assumptions]
For each one:
1. Provide three scenarios where it might not hold true
2. Suggest alternative interpretations
3. Identify minimum evidence needed for validation
4. Propose simple tests to verify or disprove"

4. The “Resource Reality” Check

What to do: Map required resources against available ones, focusing on functions rather than specific implementations.

Using AI for Resource Planning

Resource Identification:

Prompt: "For a project involving [your functional requirement], create a comprehensive list of:
1. Required capabilities (not specific technologies)
2. Essential resources
3. Typical timeline milestones
4. Often-overlooked requirements

Then categorize each as:
- Must have
- Should have
- Could have
- Won't have this time"

Resource Gap Analysis:

Prompt: "For these required capabilities:
[List your capabilities]
1. Suggest multiple ways to achieve each
2. Identify non-obvious alternatives
3. List potential external sources
4. Propose creative resource combinations"

5. Technical Feasibility Deep Dive

What to do: Break down your challenge into core functional requirements and assess feasibility of different approaches.

Using AI for Feasibility Assessment

Technical Component Analysis:

Prompt: "For the function [your function]:
1. Break it down into sub-functions
2. For each sub-function:
  - List proven approaches
  - Identify emerging technologies
  - Suggest non-obvious alternatives
  - Rate implementation complexity
3. Identify dependencies between components"

Risk Assessment:

Prompt: "For each technical approach identified:
1. What could go wrong?
2. What's the minimum viable test?
3. What's unknown but crucial?
4. What similar challenges have others faced?"

6. Scale-up Sanity Check

What to do: Assess how different approaches to your functional requirements might scale.

Using AI for Scale-up Analysis

Scaling Challenges:

Prompt: "For [your functional solution]:
1. What happens when we scale:
  - 10x
  - 100x
  - 1000x
2. At each scale, consider:
  - Resource requirements
  - System bottlenecks
  - New challenges that emerge
  - Potential solutions"

Scale-up Strategy:

Prompt: "Given these scaling challenges:
[List challenges]
1. Suggest gradual scaling steps
2. Identify critical transition points
3. Propose risk mitigation strategies
4. List required capabilities at each stage"

7. Alternative Paths Check

What to do: Identify multiple fundamentally different approaches to delivering required functions.

Using AI for Alternative Exploration

Path Generation:

Prompt: "For achieving [your function]:
1. Generate 10 completely different approaches
2. For each approach:
  - Explain core mechanism
  - List key advantages
  - Identify main challenges
  - Suggest hybrid possibilities"

Path Analysis:

Prompt: "Compare these approaches:
[List approaches]
1. Identify common success factors
2. Suggest potential combinations
3. Rate each for:
  - Technical feasibility
  - Resource requirements
  - Scaling potential
  - Implementation speed"

Best Practices

Using AI Effectively

  1. Start Broad, Then Focus
    • Begin with open-ended prompts
    • Use follow-up prompts to dig deeper
    • Ask for specific examples
    • Request explanations for suggestions
  2. Verify and Validate
    • Cross-reference AI suggestions
    • Check technical feasibility
    • Validate with expert knowledge
    • Document verification process
  3. Maintain Functional Focus
    • Keep prompts function-oriented
    • Challenge solution-specific responses
    • Look for universal principles
    • Question assumptions regularly

Remember that this process is iterative. Use these checks and AI prompts to:

  • Maintain focus on functions over solutions
  • Broaden your solution space
  • Challenge assumptions
  • Identify non-obvious approaches
  • Create robust development plans

Note: AI tools should complement, not replace, human expertise and judgment. Use these prompts as starting points for exploration and validation of your thinking.

If you'd like to see how we combine technology scouting and AI to solve problems with novel solutions, give us a topic or challenge and we can show you how!