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Ditch Your To-Do List. Use these Docs To Make More Impact
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Every time I have a startup idea a few days or weeks later someone else is doing it. Are there any ideas left?
Everyone talks about Clawdbot, but here's how it works
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Hubspot
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IBM
IBM WatsonX
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If Only We Knew What We Know: The Transfer of Internal Knowledge and Best Practices
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In Defense of Radical Self-Betterment
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Information Rules: A Strategic Guide to the Network Economy
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Itamar Turner-Tauring
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Kafka, CDC, ML/AI, Agents: Source
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Kathy Sierra
Keith Rabois
Keith Stanovich and Rational Thinking
Kelly Criterion
Keras
Kevin Samuels
Key Takeaways from Elite Athlete Mental Research
Kieran Klaasen on Agentic Workflows
Kieran Majury
Knoster Model
Knowledge Management
Knowledge through Syllogistic Reasoning
Kolb's Experiential Learning Cycle
KSQL / ksqlDB
ksqlDB Concepts
ksqlDB Tutorials
Kubernetes
Kubernetes Docs
Kubernetes Tutorials
Kumar Thangudu
Kunal Shah
Labor Productivity
LangChain
Laravel
Laravel Collections
Laravel Factories
Laravel Forge
Laravel Installation
Laravel Queues
Laravel Request Instance
Laravel Tinker
Laravel Web Push Notifications
Larry Long Jr.
Latent Expertise: Everyone is in R&D
Laws of Fun
Laws of Thermodynamics
Lead Review Memo
Leaders as Decision Architects
Leadership Handbook
Lean Canvas
Lean Customer Development
Lean Customer Development
Lean Startups
Learning from Quant Traders
LearnUI
Lessons from Building AI Agents for Financial Services
Lessons from the 2022 RUFF League
Letters to a Young Poet
Levels of an Idea
Levels of Done
Lex Freidman
Life Coaching Handbook
Life Satisfaction
Limits of Service Leadership
Lincoln Tunnel
LinkedIn Playbook
Linux
Linux Certification Training
Linux Certifications
Linux Commands
List of CFJ in business
Listening Is The Job
Lived Experiences
Livewire
Living with Complexity
LLM Codegen Workflow
LLM Prompts
Load Balancers
Loading QuillJs Data into a form
Local Deployment Concepts for LLMs
Logic
Logic [Fixed]
Logic of Failure Compressed Notes
Logical Fallacies
Long Story Short
Longform Lite
Loose Podcast Ideas
Loserthink
LSAT Reading Comprehension
Ludwig
Lux Capital
Mac and Cheese
Machine Learning
Machine Learning Algorithms
Machines of Loving Grace
Mailchimp
Make
Make a Name For Yourself
Make it Clear
Make Time
Making Work Visible
Manage your Day to Day
Manage Your Manager
Managed Databases
Management
Management and Governance
Management Consultancy
Management Levels and Types
Manager Superpower Series #2: Optimism
Managing Your Manager
Mapping Semantical Certainties to Kelly Criterion Edge Percentages
Maps of Meaning
Marc Adler
Marc Andreessen
Marcus, Friedrich, Fyodor
Mark Manson
Market Mind Games: A Radical Psychology of Investing, Trading and Risk (DIGITAL AUDIO)
Marketing
Marketing Segmentation
Marketing to Developers
Martin Kleppmann
Marty Lobdell
Master Data Management
Master Shi Heng Yi
Mastering Confluent Kafka from Failure Cases
Mastering Fun as a Skill
Mastering Kafka from First Principles
Mastering Kafka from First Principles: API-First/Digital Native
Mastering Kafka from First Principles: Fintech
Mastering Product Experience in SaaS
Mastering Technical Sales
Math
Mathematics
Matrix
Matt Abrahams
Matt MacInnis
Matt Mochary
Matt Pocock on Speaking
Matthew Confer
Max Levchin
Maxims For Thinking Analytically
Maybe you’re not Actually Trying
McKinsey
Measuring Deal Momentum, the Formula for Enterprise Sales
Mechanism Design
Meditation
Meditations
Meditations Guidance
Melvin Conway
Memory as Reasoning
Memos
Mental Action Tricks
Mental Models of Analytics
Meta-Lessons from Creating with Claude
Metabolism
Metadata
Metaphors We Live By
Method Acting
Michael Mauboussin
Microservices
Microservices with Apache Kafka
Microservices with Confluent
Microsoft on Microservices
Mid-funnel (MOFU)
Midwit
Migration
Milestones, Learnings, Confidence, the inner triangle to Outcomes, Knowledge, Actions
Million Dollar Weekend
Millionaire Fastlane
Mimetic Theory
Mind Magic
Mindfulness and Rationalization
Mindsets on being Relentless by Tim S. Grover
Minimalist Web Design
Minto Communication Guide
Minto Pyramid
Mircea Eliade's Eternal Return
Mission, Strategy, and Tactics
Model Customization
Model Evaluation Fundamentals
Model Invocation
Model Serving
Model Thinkers
Models of Misalignment, Information, and Coordination
Module 0: The Agent Platform Landscape
Module 1: The Token Economy
Module 1: Agent Fundamentals: Loops, Reasoning, Memory, and State
Module 1: Evaluation Foundations
Module 1: The GenAI Threat Model
Module 2: Evaluation Datasets and Ground Truth
Module 2: Input Safety and Adversarial Defense
Module 2: Requirements elicitation for generative AI
Module 2: Token Efficiency and Context Optimization
Module 2: Tools, Function Calling, and MCP
Module 3: Automated Evaluation and Model Comparison
Module 3: Data Validation and Processing Pipelines
Module 3: Model Selection, Tiering, and Distillation
Module 3: Multi-Agent Systems and Model Coordination
Module 3: Output Safety and Deterministic Transformation
Module 4: Grounding, Verification, and Hallucination Control
Module 4: Agent Safety, Control, and Human-in-the-Loop
Module 4: Caching
Module 4: RAG and Retrieval Evaluation
Module 4: Vector Store Design
Module 5: Agent Evaluation
Module 5: Data Security and Network Isolation
Module 5: Model Deployment and Serving
Module 5: Retrieval Mechanisms
Module 5: Throughput, Capacity, and Scaling
Module 6: FM API Integration and Real-Time Delivery
Module 6: Human Feedback and Annotation
Module 6: Latency Optimization and Inference Tuning
Module 6: Privacy and PII Handling
Module 6: Prompt Engineering and Governance
Module 7: Continuous Evaluation, Quality Gates, and Reporting
Module 7: Enterprise Integration, Security, and Compliance
Module 7: Governance, Lineage, and Auditability
Module 7: Resilience, Customization, and Lifecycle
Module 7: Retrieval and Vector Store Performance
Module 8: Developer Experience, Observability, and Troubleshooting
Module 8: Observability, Monitoring, and Troubleshooting
Module 8: Responsible AI: Transparency, Fairness, and Policy
Module 8: Systematic Troubleshooting: Content and Integration
Module 9: Prompt and Retrieval Troubleshooting
Mogul
Mogul: Books
Molly Mielke McCarthy on finding special people, agency, and playing your own game
Mom's Stew
Money Skills Review
Monthly Content Plan
MoonShots mission statement
Moral Reasoning
Morgan Housel
Morgan J. Ingram
Move First Think Later
MrBeast
Multi-tenacy Laravel
Multi-tenancy Software Architecture
My Big 5 Personality Test
My Personal Archtype
My Personal Jungian Analysis
My Philosophy
MySQL
MySQL Antipatterns
MySQL Design Patterns
MySQL How to get the difference between two dates
Mythical Man Month
n8n
Narrative Psychology
Narrative Writing Structure for Internet Content
Narratives, Commitments, Tasks (NCTs)
Naruto
Nat Friedman
Naval Ravikant
Navan Q1 FY27 Earnings Transcript
Navigator
Negative Feedback
Negotiate Vested Options Severance
Neo Sub Factors (Big 5 Personality Test)
Neo4J
Neurobiology of Social Behavior
Neuroscience
Neuroscience of pain and discomfort
Never Eat Alone
Never Finished
Never Split The Difference
New York City
Nick Huber
Nick J Sheriff
Nicolas Cole
Nicotine
Nigeria
Nikita Bier
Nine Things Successful People Do
No Vibes Allowed: Solving Hard Problems in Complex Codebases
Non Linear Dynamics
Non-Negotiable as a personal decision making strategy
Note on the Relationship Between Artificial Intelligence and Human Intelligence
Notes on Managing ADHD
Notes on Managing ADHD
Nothing Fucking Matters
NPS
Nuclear Energy
Number Quest
Numbness To Loss
Oatmeal Raisin Bar Cookies
Oatmeal Recipes
Object Design Style Guide
Objection Handling
Observability
Obviously Awesome
Ogilvy on Advertising
Ole Peters
Olive Oil
On becoming competitive when joining a new company
On Being an Executive
On Being Contrarian
On Culture
On First Principles Thinking
On Humility
On Reviews
On Sarcasm
On the Shortness of Life
On the viability of PQOs Memo
On Writing Well
One-shot Rapid Application Development
Ontology
OODA Ontology
OpenAI
OpenAI API
Operating Efficiently at Scale
Operational Troubleshooting
Operations
Operations Research
Operator
Operator: Books
Opportunity Cost
Optimal Scaling Path for a PHP CRUD Application
Optimizing Eye Health
Orchestration & Control
OSINT
OSS Migrate
Outbox Pattern
Outcome Orientation as a Cure for Information Overload
Outcomes
Overcoming The Time Sink of Getting Blocked
Overfitting
Ownership and Entitlement
Parakeet
Pareto Efficiency
Parmita Mishra
Pat Grady
Path Dependency
Patrice O'Neal
Patrick Mckenzie
Patrick O'Shaugnessy
Patrick Winston
Pattern Breakers
Pattern Recognition for Intelligence Products
Paul Graham
Pavel Training Methods
Paying attention to complete a task/goal
PayPal
Percent Increase Forumla
Perceptual Control Theory
Personal Anki Categories
Personal Office Communication Guide
Personal Reframes
Personal Shadow Work
Personality
Personality Plus at Work
Personality: A User's Guide
Persuasion
Peter Attia
Peter Thiel
pgVector
PHP isset vs empty vs is_null
PHP: How to search for the array key that has the value OR has the array with the value
Physics
Picking Problems to Marry
Pieter Levels
PIPE Program 2025
Pipeline Cures All
Pitch Anything
Pixar's 22 Rules of Storytelling
Planning v. Feedback
Playing Long Term Games
Playing To Win
PM Communication Scorecard
Podcast loose ideas
Poor Charlie's Almanack
Pork
Portfolio Management
Post Ideas
Post-Click User Experience
Practical Change Data Streaming Use Cases with Apache Kafka & Debezium
Practical Use Cases for Read-Only Iceberg Tables
Pragmatics
Pragmatism
Precious Metals
Precommitment: A Way around Temptation
Primal Intelligence: You Are Smarter Than You Know
Principal-agent problem
Private Networking with Confluent Cloud for Apache Flink
Problem Solving
Problem Solving Techniques
Process Data with Flink
Process Groups
Process Improvement is Trickier Than You Think
Product Development
Product Market Fit
Product-Driven versus Customer-Driven by Ribbon Farm
Product-Led Growth
Product: Delivery Systems at Scale
Products
Profile: Agents as the Medium
Profile: LLMs as the Medium
Profit First
Program management vs. project management
Progress through Storytelling
Project Management
Project Management Unraveled
Project Management Unraveled Expanded
Project Portfolio Strategy
Prompt Engineering
Proof of Concepts
Protein Recipes
Prototype Theory
Psycho-Cybernetics
Psycho-Cybernetics Condensed Notes
Psychology of Intelligence Analysis
Pull Work That Pays
Python
Quantum Computing
Quarterly strategic planning using the fairytale structure
Question Based Selling
Question Tome
Questions That Sell
Questions to Analyze a Business
Queueing
QuillJs Events
Rackspace
Radical Focus
Raise or Fold
Random Notes
Rationality: From AI to Zombies
Ravi Gupta
Ray Dalio
Ray Dialo's Principles
Real Estate
Recon-ng
RecordRTC.js
Redfin
Redis
Reducing
Reforge
Reforge Artifacts
Reforge: Growth Series
Reforge: Retention and Engagement
Reframe Your Brain
Reframe Your Brain: The User Interface for Happiness and Success (The Scott Adams Success Series)
Reid Hoffman
Relationship and Rapport Mastery
Rendering
Repeatability
Resonate
REST best practices
Retrieval & Grounding
Reverse ETL
Reverse Proxy
Rice Recipes
Rich Hickey
Richard Feynman
Richard Odysseus
RichNwan Blog
Risk Savvy: How to Make Good Decisions
Roasted Potatoes Recipe
Rob Henderson
Robert Cialdini
Robert J. Sternberg and Practical Intelligence
Robert Moses
Robert Spolsky
Roberto Blake
Rohan Gilkes
ROIT: Return on Invested Token
Roles and RAS
Root Cause Analysis
Rotoviz
RSDTyler
Rubrics
RUFF 2025
RUFF Fantasy League
RUFF Final 2023 Plan
Rule Reviews
Rulebook
Rules of the Game
Runaway Selection
Running Effective Prospecting Days in B2B SaaS (with Remote Best Practices)
Ruth Chang
Ryan Singer
Saas Metrics -- A Guide to Measuring and Improving what Matters
SaaS Terminal Value under Scrutiny
Safety & Policy
Safety, Security, Privacy, Governance, and Responsible AI
Sales
Sales Acceleration Formula
Sales Compensation in a Consumption Pricing World
Sales Engineering
Sales Happen When Buyers Fear Missing Out
Sales Pipeline
Sales Pitch: How to Craft a Story To Stand Out and Win
Sales Process
Salesforce
SalesLoft
Salt
Salt, Fat, Acid, Heat
Sam Altman
Sam Hinkie
Same as Ever: A Guide to What Never Changes
Sandler Method
SBA
Scaling People
Scaling The Things That Don't Scale
Schema and Statement Evolution with Confluent Cloud for Apache Flink
Schema Registry
Scientific Method
Scientist
Scientist: Books
Scott Alexander
Scott Barrett
Scott Bessent
Scrapinghub x Confluent Cloud
Search for knowledge/information to complete a specific task/goal
SECI Model of Knowledge Management
Second Machine Age
Secrets to Winning Office Politics
Security and Governance
Security, Identity, and Compliance
Seeing Like a State
Segment
Segmentation
Segmentation In-Depth
Segmentation, Vectorization & Index Maintenance
Seibel on Startups
Select2
Self-Directed Behavior
Selfish Writing by Morgan Housel
Selling Confluent Cloud
Selling To Big Companies
Selling to Carol: Why targeting an ICP brings 10x more customers than you expected
Sense of Urgency
Sensemaking Sales
Server Architecture
Server-Fetched Partials
Serverless
Servers
Seven and a Half Lessons About the Brain
Sex
Sexual Tension
Shaan Puri
Shadow Work
Shape up
Shifting Left: Rearchitecting the Operational–Analytical Divide to Produce Trustworthy, AI-Ready Data atthe Source
Shyam Sankar
Sign-up Onboarding Flows
Signals for a successful venture
Simon Sinek
Simple Heuristics That Make Us Smart
Simple Made Easy
Simply Complexity
Sizing, Performance and Cost
Skill
Skill Prioritization and Ideas
Skin in The Game
SKOOL Games
Slack
Slava Akhmechet
Smallpox
Smart Brevity
Smash Bros
Snapshot Queries in Confluent Cloud for Apache Flink
Snowflake
So You Think You Can Prompt
Soft Skills for Managers
Software
Software Architecture
Software Engineer's Guide to Freelance Consulting
Software Tool Solutions
Solving Present Bias: Governance across time.
Somatotypes
Soros' Fallibility and Reflexivity
Source & Ingestion
Sources of Power
Sovereign Individual
SparkToro
Speak in Stories
Speak Like Churchill, Stand Like Lincoln
Speak with Impact
Spellbinding Sentences
Spin Selling
Sports
Spy Secrets That Can Save Your Life
Standard Operating Procedures
Stanley Druckenmiller
Star Wars
Start From Demand
Start Small, Stay Small
Startup Analytics/Marketing Stack
Startup Ideas
State & Memory
Statement CFU Metrics in Confluent Cloud for Apache Flink
StaySassy Blog
Steal the Show
Steph Smith
Stephen Covey
Steve Jobs
Steven Pressfield
Stocks
Store Knowledge to later complete a specific task/goal
Stratechery
Strategies of Genius
Strategy to Manage User's Timezones across application
Strategy v. Execution
Stream Processing
Stream Processing
Stream Relational Processing Platforms
Streaming and Generative AI
Streaming Audio
Streaming Projects
Strengths Dictate Weaknesses
StrengthsFinder
Strong Phrases and Sayings
Studying Ads
Submitting a form that is using QuillJs
Subscribe Highlights from the Claude 4 system prompt
Sudden death in FIFA athletes
Suhail Doshi
Superapps
SuperPrompts
Surrounded by Idiots
Sweller's Cognitive Load Theory
Synthesis
System Fonts
System Thinking Tools
Systems Bible
Systems Institute Courses
Systems Thinking
TableFlow Technical Study Guide - First Principles
Tables and Topics in Confluent Cloud for Apache Flink
Tacit vs. Explicit Knowledge
Taiichi Ohno
Tailwind
Take Back Your Power
Talk Tracks and Definitions
Taylor Pearson's notes
TCAD Internal Prep Strategy
Teaching instead of Selling
Team of Teams
Technical Advisor Guidelines
Technical Advisor Guidelines: Data Engineering T-Shirt Sizing
Techniques of Visual Persuasion
Technology
Ted Talks: The Official Guide to Public Speaking
Teleology
Template for Critical Analysis of Arguments
Tempo
Temporal Landmarks
Temporal.io
Tenancy, Quotas & Metering
Text-Heavy Design Presentation
TGSiTW: Condensed
TGSiTW: Condensed JBP
TGSiTW: Condensed Simple
TGSiTW: Condensed Simple II
That's Interesting
That's Not What I Meant
The 1-Page Marketing Plan
The 5 Part Process to Networking Effectively
The 6 AI Engineering Patterns
The 7 Primal Pains
The A-Z guide to Startup Metrics
The Agent Development Life Cycle
The architecture of today's LLM applications (2023)
The Art of Action
The Art of Extreme Commit
The Art of Impossible
The Art of Profitability
The Art of Strategy
The Art of Strategy
The Art of Strategy: A Game Theorist's Guide to Success in Business and Life
The Art of Winning
The As If Principle
The Bedrock Family
The Beginning of Infinity
The Beginning of Infinity w/ Claude
The Bid/Ask Spread of Top Talent
The Book of Elon: A Guide to Purpose and Success
The Book of Why
The Challenger Sale
The Checklist Manifesto
The Chimp Paradox
The cognitive categories of knowledge work
The Complete Guide to Command of the Message, Challenger & Great Demo!
The Complete Guide to Planning Your Day
The Complete Guide to Sales Force Incentive Compensation
The Compound Effect
The Comprehensive Architecture of Shaping: Technical and Tactical Methods
The concept of a Unit
The Constant Questions
The Constitution of Knowledge
The Conversation Code
The Creative Act
The Creative Act: Organized Notes
The Creed of Future Me
The Crumbling Workflow Moat: Aggregation Theory's Final Chapter
The current state of AEO
The Dark Triad Playbook
The Deep Dive Into the Needs of Indiehackers and Micropreneurs
The Design of Everyday Things
The Design of Future Things w/ Claude
The Dictator's Handbook
The Economic Rationalist
The Effective Executive
The Elements of Execution
The Embedded Entrepreneur
The Existential Questions to Answer For Any Endeavour
The Extended Mind
The Factory and The Lab Thesis
The Fear That Steals Your Life's Work
The Fifth Discipline
The Five Dysfunctions of a Team
The Five Patterns That Separate Elite Revenue Teams From the Rest
The Flinch
The Folly of Fools
The Folly of Fools Insights
The Founder's Mentality
The Four Horsemen of the Tech Recession
The Four Steps to the Epiphany
The Full Stack Startup
The Gifts of Imperfection
The Gifts of Imperfection Notes
The Glyvian Think Tank
The Go-Giver
The Go-Giver
The Goal
The Golden Workflow
The Great CEO Within
The Greatest Businessman in The World
The Greatest Salesman in The World
The Growth Marketer's Playbook
The Habituation of Excellence
The Hawthorne Effect
The Heart of Innovation: A Field Guide for Navigating to Authentic Demand
The Information
The Inner Game of Tennis
The Inner Game of Work
The Intangible Skills You Can't Interview For
The Internet
The Joy of Game Theory
The Key Skill We Rarely Learn: How to Feel Your Feelings
The Knowing-Doing Gap
The Knowledge Economy Is Over. Welcome to the Allocation Economy
The Ladder of Success
The Language of Uncertainty
The Last Bus Problem
The Laws of Human Nature
The Lifecycle of a Webpage
The Logic of Failure
The Lost Art of Listening
The Magic of Big Thinking
The Math Behind Deep Learning
The Meaning of Ownership
The Meta on Learning 2026
The Midwit Trap: Why Sophistication Defeats Itself
The Mindfulness Game
The Molecule of More
The Mom Test
The Moral Case for Making Money
The MoSCoW Method
The most profitable skill of the 21st century (not AI)
The Nature of Value
The Neuroscience of Risk Taking
The One Question That Accelerates Every Ambitious Goal
The One Thing
THE OPERATOR'S MANUAL ON WINNING ANY RELATIONSHIP
The Order of Time
The Outsiders
The P Rules
The Pain is the Rehab
The Pain We Can't Outrun
The Philosophy of Progressive Refinement
The Phoenix Project
The Pipeline Delusion
The Potential of Integrating Intelligence and Intuition
The Power of Mathematical Thinking
The Power of Myth
The practical application of "Rocks, Pebbles, Sand"
The Presentation Architecture Framework
The Price We Must Pay
The Principles of Product Development Flow
The Principles of Scientific Management
The Process
The Prompt Report: A Systematic Survey of Prompting Techniques
The Psychological Needs of the Extremely Ambitious
The Psychology of Action: Linking Cognition and Motivation to Behavior
The Psychology of Strategy
The Psychology of Time Perception
The Psychology on How We Interact With Things
The Psychopathology of Beliefs
The Purpose-Built AI Services
The Pursuit of Wow!
The Qualified Sales Leader
The Ratchet Effect
The Rebel Allocator
The Reframing Matrix
The relationship between Mindfulness and Executive Functioning
The Remarkable Effect
The Revenue Takes Care of Itself
The RevOps Playbook: Owner.com CRO’s Secrets to Scaling
The Righteous Mind: Why Good People Are Divided by Politics and Religion
The rise of product-led sales
The Roomates
The SAAS Sales Method: Sales as a Science
The SageMaker Family
The Sales Development Playbook
The Science of Storytelling
The scientific literature of visualization
The Score Takes Care of Itself
The Scout Mindset
The Self as a Center of Narrative Gravity
The Short Case for Nvidia Stock
The Six Fundamental Principles of Design
The Spiderweb Strategy
The Star Principle
The Status Game
The Status Game Insights
The Stepping Stones You're Not Building
The Strange Order of Things
The Strategy-Focused Organization
The Subtle Art of Not Giving a Fuck
The Talent Factory: How To Identify and Develop A-Players for Your Team
The Ten Principles Behind Great Customer Experiences
The Three Greatest Survey Questions Ever
The Toyota Way
The Transaction Costs of Work
THE TROUBLE WITH INCENTIVES: THEY WORK
The Trusted Advisor
The Trusted Advisor Revised Notes (Claude)
The Ultimate Hack: How To Meet Anyone and Make Success Inevitable
The Ultimate Sales Machine
The Undercurrent Skills Maturity Matrix
The unprofitable SaaS business model trap
The Upside of Your Dark Side: Why Being Your Whole Self--Not Just Your "Good" Self--Drives Success and Fulfillment
The value of an activity log
The Virus of The Mind
The War of Art
The Way of The Superior Man
The Way Richard Works
The White Pill Manifesto
theHarvester
Theory of Constraints
Theory of Mind
Things 10X People Do
Things I know at 40 I wish I knew at 20 by Mark Manson
Things That Make Us Smart
Things That Make Us Smart w/ Claude
Think Twice
Thinking and Deciding
Thinking Fast and Slow
Thought Experiments
Three ways to get the most from your Confluence personal space
Through the Language Glass
Tiago Forte
Tim Denning
Tim Ferris
Tim O'Reilly
Time and Watermarks in Confluent Cloud for Apache Flink
Time Asymmetry
Time Management
Time Management Advice for Sales Reps
Tinkertoys
To learn anything well
Tony Robbins
Tool Use v. RAG
Tools
Top 10 Connectors Cheatsheet
Top 7 Leadership Styles
Top Interpersonal Speaking Skills
Top Two Reasons for Churn
Topics to discuss with Life Coach
Traits I Value
Transactional Analysis Frames
Transferring Tacit Knowledge
Transparency is the Key to Accountability
Transport & Client
Triangulating Market Sentiment
Tricks for Introverts
Trigger List
Troubleshooting Issues in MySQL
Troubleshooting Laravel Environment Variables
Trueridge
Trueridge Dossiers
Trueridge: 10X Leverage
Trueridge: Accelerated Influence
Trueridge: Products
Turbolinks vs JS Framework
Turning Desire Into Dollars
Turning Pro
Tutorial Introduction to Streaming Application Development
Tutorials
Twilio
Twint
Twitter Hack of July 2020
Tycoons
Uber
UiPath
Ultimate Business Discovery Questions
Ultimate Organizational Skill List
Ultimate Question Vault
Ultimate Writing Handbook for Nonfiction
Umwelt
Uncapped Podcast
Understanding a forecast call
Understanding Composer
Understanding CORS
Understanding DNS
Understanding Docker-Compose
Understanding EC2
Understanding Environment Variables
Understanding Flexbox
Understanding How People Use The Web
Understanding HTTP
Understanding HTTP caching
Understanding Javascript Environment and Execution
Understanding Javascript Window Object and It's Descendants
Understanding Laravel Service Container
Understanding Laravel Spark
Understanding Media: The Extensions of Man
Understanding Michael Porter
Understanding Michael Porter: The Essential Guide to Competition and Strategy
Understanding Motivations > Marketing Hacks
Understanding MySQL Indexes
Understanding MySQL Statements
Understanding Networking Ports
Understanding OAuth2
Understanding PHP
Understanding Social Network
Understanding Try, Catch, Finally statements in PHP
Unearned Wisdom Notes
Unit
Unit Economics
Unit of Work
Unit of Work with ChatGPT
University of Chicago Writers Lab
Unreasonable Success and How to Achieve It
Use Case Based Sales Pipeline
Useful Array Functions in PHP
Useful Complexity of Thought Management Tools
Useful HTTP Codes
Useful php date tokens
Useful PHP file functions
Useful PHP Unit commands
Useful Prompts
Useful Terms
User Stories
User-defined Functions in Confluent Cloud for Apache Flink
Using Autonomous Agents with Nat Elliason
Using Faker PHP package
Using Jigsaw from Tighten
Using Laravel Eloquent Effectively
Using Nano in terminal
Using Tailwind UI
Using the ideas of Donald Reinersten to Intuit the Triangle (More, Faster, Better)
Using The Trust Equation
Valuation Mastery
Value Add Disease
Value Investing
Values in Therapy
Vaughn Tan
Venkatesh Rao
Virology
Visions, Strategy, Tactics, Execution
Visualization Techniques for High Output
Vivid Visions
Voice of the Customer
Vox Day
Vue
Vyv App
Wanting
Warren Buffet
Way of The Wolf
Ways to present website information
Web 2.0 Framework
Web Analytics 2.0
Web Application Architecture
Website Information Architecture
Weekly/Monthly/Quarterly Knowledge Review
Wenger's communities of practice theory
Wes Kao
What Are AI SuperPrompts And Why They Are Important.
What are some techniques startups can use to initially draw attention to their product?
What are some things about India that foreigners don't believe until they come to India?
What are some top automation tools that entrepreneurs use, things used for organizing life, contacts, deals, finding information, networking, and getting things accomplished?
What are the best landing page builders?
What are ways in which poor children can outperform rich privileged children?
What can cause a great startup to fail?
What drives great entrepreneurs
What great AI Teams do
What is a CDN
What is a Mindset
What is the best detailed advice you'd give to a software or mobile app start-up company?
What is Value
What is your main advice for those starting their own business?
What makes a good rule
What qualities are shared by most successful startup home pages?
What should every aspiring writer know about writing?
What the CEO Wants You To Know
What Theory is Not, Theorizing Is
What to do when your client doesn't know they have a problem
What We Learned from a Year of Building with LLMs
What will be true about data 10 years from now
When trying to decipher information from influence
Which channels should B2B company use to reach potential customers and effectively promote its product?
Which Self
Why Acceptance Works In Behavior Change
Why Buddhism is True: The Science and Philosophy of Meditation and Enlightenment
Why Deadlines Matter
Why Ideas First Approach To Innovation is Misguided
Why Input Goals Matter w/ Claude
Why Search Before Generate
Why you would need your own servers vs Cloud Vendors
Wide Receiver Stats That Matter for Fantasy Football
Will To Power
William Beteet III
William Edwards Deming
Willpower Doesn't Work
Wired for Story
Wisdom by Intellectual Belief
Wisdom of Crowds
Wooden's Leadership Game Plan
Words
Work Principles 2026
Working Backwards
Working The System
Working with Evolo landing page
Working with Laravel Eloquent and dates
Working with Laravel HTTP Responses
Working with Math and Numbers in Javascript
Worst To First
Wrestle Your Devils
Write-Ahead Log
Writing & Communication Theories
Writing Handbook
YNAB
You Aren't Learning If You Don't Close the Loops
You Need More Volume
You Need to Ship Faster
You Should Write An Agent
Your Discomfort Tolerance is a Muscle—And It's Probably Atrophied
Your job is to solve problems, not look smart
Zachary Perret
Zain Kahn
Zero To One
Zinc
Are You Solving The Right Problem
🧠 Free Recall
❓ Quiz
🔍 Cues
🔮 Simulation
🥷 ShadowBox
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Most Important Takeaways The rigor with which a problem is defined is the most important factor in finding a good solution. Solving the wrong problems has a large opportunity cost and wastes resources Four Step Process Establish the need for a solution Justify the need Contextualize the problem Write the problem statement The Problem-Definition Process Establish the Need for a Solution What is the basic need? What is the desired outcome? Who stands to benefit and why? Justify the need Is the effort aligned with our strategy? What are the desired benefits for the company, and how will we measure them? How will we ensure that a solution is implemented? Contextualize the problem What approaches have we tried? What have others tried? What are the internal and external constraints on implementing a solution? Write the problem statement Is the problem actually many problems? What requirements must a solution meet? Which problem solvers should we engage? What information and language should the problem statement include? What do solvers need to submit? What incentives do solvers need? How will solutions be evaluated and success measured? Are You Solving the Right Problem? The rigor with which a problem is defined is the most important factor in finding a good solution. Many organizations, however, are not proficient at articulating their problems and identifying which ones are crucial to their strategies. They may even be trying to solve the wrong problems—missing opportunities and wasting resources in the process. The key is to ask the right questions. The four-step process consists of asking a series of questions and using the answers to create a problem statement that will elicit novel ideas from an array of experts. Establish the need for a solution. What is the basic need? Who will benefit from a solution? Justify the need. Why should your organization attempt to solve this problem? Is it aligned with your strategy? If a solution is found, who will implement it? Contextualize the problem. What have you and others already tried? Are there internal and external constraints to implementing a solution? Write the problem statement. What requirements must a solution meet? What language should you use to describe the problem? How will you evaluate solutions and measure success? “If I were given one hour to save the planet, I would spend 59 minutes defining the problem and one minute resolving it,” Albert Einstein said. Those were wise words, but from what I have observed, most organizations don’t heed them when tackling innovation projects. Indeed, when developing new products, processes, or even businesses, most companies aren’t sufficiently rigorous in defining the problems they’re attempting to solve and articulating why those issues are important. Without that rigor, organizations miss opportunities, waste resources, and end up pursuing innovation initiatives that aren’t aligned with their strategies. How many times have you seen a project go down one path only to realize in hindsight that it should have gone down another? How many times have you seen an innovation program deliver a seemingly breakthrough result only to find that it can’t be implemented or it addresses the wrong problem? Many organizations need to become better at asking the right questions so that they tackle the right problems. (Asking questions until you get to the root cause of a problem draws from the famous Five Whys problem-solving technique developed at Toyota and employed in Six Sigma.) The Problem-Definition Process Establish the Need for a Solution What is the basic need? What is the desired outcome? Who stands to benefit and why? Justify the need Is the effort aligned with our strategy? What are the desired benefits for the company, and how will we measure them? How will we ensure that a solution is implemented? Contextualize the problem What approaches have we tried? What have others tried? What are the internal and external constraints on implementing a solution? Write the problem statement Is the problem actually many problems? What requirements must a solution meet? Which problem solvers should we engage? What information and language should the problem statement include? What do solvers need to submit? What incentives do solvers need? How will solutions be evaluated and success measured? The example is like many we’ve seen: Someone in the bowels of the organization is assigned to fix a very specific, near-term problem. But because the firm doesn’t employ a rigorous process for understanding the dimensions of the problem, leaders miss an opportunity to address underlying strategic issues. The situation is exacerbated by what Stefan Thomke and Donald Reinertsen have identified as the fallacy of “The sooner the project is started, the sooner it will be finished.” (See “Six Myths of Product Development,” HBR May 2012.) Organizational teams speed toward a solution, fearing that if they spend too much time defining the problem, their superiors will punish them for taking so long to get to the starting line. Ironically, that approach is more likely to waste time and money and reduce the odds of success than one that strives at the outset to achieve an in-depth understanding of the problem and its importance to the firm. With this in mind, we developed a four-step process for defining and articulating problems, which we have honed with our clients. It consists of asking a series of questions and using the answers to create a thorough problem statement. This process is important for two reasons. First, it rallies the organization around a shared understanding of the problem, why the firm should tackle it, and the level of resources it should receive. Firms that don’t engage in this process often allocate too few resources to solving major problems or too many to solving low-priority or wrongly defined ones. It’s useful to assign a value to the solution: An organization will be more willing to devote considerable time and resources to an effort that is shown to represent a $100 million market opportunity than to an initiative whose value is much less or is unclear. Second, the process helps an organization cast the widest possible net for potential solutions, giving internal and external experts in disparate fields the information they need to crack the problem. Step 1: Establish the Need for a Solution The purpose of this step is to articulate the problem in the simplest terms possible: “We are looking for X in order to achieve Z as measured by W.” Such a statement, akin to an elevator pitch, is a call to arms that clarifies the importance of the issue and helps secure resources to address it. This initial framing answers three questions: What is the basic need? This is the essential problem, stated clearly and concisely. It is important at this stage to focus on the need that’s at the heart of the problem instead of jumping to a solution. Defining the scope is also important. Clearly, looking for lubricant for a piece of machinery is different from seeking a radically new manufacturing process. The basic need EWV identified was access to clean drinking water for the estimated 1.1 billion people in the world who lack it. This is a pressing issue even in areas that have plenty of rainfall, because the water is not effectively captured, stored, and distributed. What is the desired outcome? Answering this question requires understanding the perspectives of customers and other beneficiaries. (The Five Whys approach can be very helpful.) Again, avoid the temptation to favor a particular solution or approach. This question should be addressed qualitatively and quantitatively whenever possible. A high-level but specific goal, such as “improving fuel efficiency to 100 mpg by 2020,” can be helpful at this stage. In answering this question, Naugle and his team realized that the outcome had to be more than access to water; the access had to be convenient. Women and children in countries such as Uganda often must walk long distances to fetch water from valleys and then carry it uphill to their villages. The desired outcome EWV defined was to provide water for daily family needs without requiring enormous expenditures of time and energy. Who stands to benefit and why? Answering this question compels an organization to identify all potential customers and beneficiaries. It is at this stage that you understand whether, say, you are solving a lubricant problem for the engineer or for the head of manufacturing—whose definitions of success may vary considerably. If the problem you want to solve is industrywide, it’s crucial to understand why the market has failed to address it. By pondering this question, EWV came to see that the benefits would accrue to individuals and families as well as to regions and countries. Women would spend less time walking to retrieve water, giving them more time for working in the field or in outside employment that would bring their families needed income. Children would be able to attend school. And over the longer term, regions and countries would benefit from the improved education and productivity of the population. Step 2: Justify the Need The purpose of answering the questions in this step is to explain why your organization should attempt to solve the problem. Is the effort aligned with our strategy? In other words, will satisfying the need serve the organization’s strategic goals? It is not unusual for an organization to be working on problems that are no longer in sync with its strategy or mission. In that case, the effort (and perhaps the whole initiative) should be reconsidered. In the case of EWV, simply improving access to clean drinking water wouldn’t be enough; to fit the organization’s mission, the solution should generate economic development and opportunities for local businesses. It needed to involve something that people would buy. In addition, you should consider whether the problem fits with your firm’s priorities. Since EWV’s other projects included providing access to affordable products such as cookstoves and treadle pumps, the drinking water project was appropriate. What are the desired benefits for the company, and how will we measure them? In for-profit companies, the desired benefit could be to reach a revenue target, attain a certain market share, or achieve specific cycle-time improvements. EWV hoped to further its goal of being a recognized leader in helping the world’s poor by transferring technology through the private sector. That benefit would be measured by market impact: How many families are paying for the solution? How is it affecting their lives? Are sales and installation creating jobs? Given the potential benefits, EWV deemed the priority to be high. How will we ensure that a solution is implemented? Assume that a solution is found. Someone in the organization must be responsible for carrying it out—whether that means installing a new manufacturing technology, launching a new business, or commercializing a product innovation. That person could be the problem champion, but he or she could also be the manager of an existing division, a cross-functional team, or a new department. At EWV, Jon Naugle was also put in charge of carrying out the solution. In addition to his technical background, Naugle had a track record of successfully implementing similar projects. For instance, he had served as EWV’s country director in Niger, where he oversaw a component of a World Bank pilot project to promote small-scale private irrigation. His part of the project involved getting the private sector to manufacture treadle pumps and manually drill wells. It is important at this stage to initiate a high-level conversation in the organization about the resources a solution might require. This can seem premature—after all, you’re still defining the problem, and the field of possible solutions could be very large—but it’s actually not too early to begin exploring what resources your organization is willing and able to devote to evaluating solutions and then implementing the best one. Even at the outset, you may have an inkling that implementing a solution will be much more expensive than others in the organization realize. In that case, it’s important to communicate a rough estimate of the money and people that will be required and to make sure that the organization is willing to continue down this path. The result of such a discussion might be that some constraints on resourcing must be built into the problem statement. Early on in its drinking water project, EWV set a cap on how much it would devote to initial research and the testing of possible solutions. Now that you have laid out the need for a solution and its importance to the organization, you must define the problem in detail. This involves applying a rigorous method to ensure that you have captured all the information that someone—including people in fields far removed from your industry—might need to solve the problem. Step 3: Contextualize the Problem Examining past efforts to find a solution can save time and resources and generate highly innovative thinking. If the problem is industrywide, it’s crucial to understand why the market has failed to address it. How Well-Defined Problems Lead to Breakthrough Solutions The Subarctic Oil Problem More than 20 years after the 1989 Exxon Valdez oil spill, cleanup teams operating in subarctic waters still struggled because oil became so viscous at low temperatures that it was difficult to pump from barges to onshore collection stations. How the Problem Was Defined In its search for a solution, the Oil Spill Recovery Institute framed the problem as one of “materials viscosity” rather than “oil cleanup” and used language that was not specific to the petroleum industry. The goal was to attract novel suggestions from many fields. The Winner A chemist in the cement industry was awarded $20,000 for proposing a modification of commercially available construction equipment that would vibrate the frozen oil, keeping it fluid. The ALS Research Problem By the late 2000s, researchers trying to develop a cure or treatment for amyotrophic lateral sclerosis (ALS, or Lou Gehrig’s disease) had not made much progress. One major obstacle was the inability to detect and track the progression of the disease accurately and quickly. Because researchers could not know precisely what stage ALS sufferers had reached, they greatly increased the pool of participants in clinical trials and lengthened their studies, which drove up costs so much that few treatments were developed and evaluated. How the Problem Was Defined Instead of framing its initiative as a search for a cure, Prize4Life, a nonprofit organization, focused on making ALS research feasible and effective. The solution it sought was a biomarker that would enable faster and more-accurate detection and measurement of the progression of the disease. The Winner In 2011, a researcher from Beth Israel Hospital in Boston was paid $1 million for a noninvasive, painless, and low-cost approach, which detects ALS and assesses its progression by measuring changes in an electrical current traveling through muscle. This biomarker lowers the cost of ALS research by providing accurate and timely data that allow researchers to conduct shorter studies with fewer patients. The Solar Flare Problem In 2009 NASA decided it needed a better way to forecast solar flares in order to protect astronauts and satellites in space and power grids on Earth. The model it had been using for the past 30 years predicted whether radiation from a solar flare would reach Earth with only a four-hour lead time and no more than 50% accuracy. How the Problem Was Defined NASA did not ask potential solvers simply to find a better way to predict solar flares; instead, it pitched the problem as a data challenge, calling on experts with analytic backgrounds to use one of the agency’s greatest assets—30 years of space weather data—to develop a forecasting model. This data-driven approach not only invited solvers from various fields but also enabled NASA to provide instant feedback, using its archived data, on the accuracy of proposed models. The Winner A semiretired radio-frequency engineer living in rural New Hampshire used data analysis and original predictive algorithms to develop a forecasting model that provided an eight-hour lead time and 85% accuracy. He was awarded $30,000 for this solution. What approaches have we tried? The aim here is to find solutions that might already exist in your organization and identify those that it has disproved. By answering this question, you can avoid reinventing the wheel or going down a dead end. In previous efforts to expand access to clean water, EWV had offered products and services ranging from manually drilled wells for irrigation to filters for household water treatment. As with all its projects, EWV identified products that low-income consumers could afford and, if possible, that local entrepreneurs could manufacture or service. As Naugle and his team revisited those efforts, they realized that both solutions worked only if a water source, such as surface water or a shallow aquifer, was close to the household. As a result, they decided to focus on rainwater—which falls everywhere in the world to a greater or lesser extent—as a source that could reach many more people. More specifically, the team turned its attention to the concept of rainwater harvesting. “Rainwater is delivered directly to the end user,” Naugle says. “It’s as close as you can get to a piped water system without having a piped water supply.” What have others tried? EWV’s investigation of previous attempts at rainwater harvesting involved reviewing research on the topic, conducting five field studies, and surveying 20 countries to ask what technology was being used, what was and was not working, what prevented or encouraged the use of various solutions, how much the solutions cost, and what role government played. “One of the key things we learned from the surveys,” Naugle says, “was that once you have a hard roof—which many people do—to use as a collection surface, the most expensive thing is storage.” Here was the problem that needed to be solved. EWV found that existing solutions for storing rainwater, such as concrete tanks, were too expensive for low-income families in developing countries, so households were sharing storage tanks. But because no one took ownership of the communal facilities, they often fell into disrepair. Consequently, Naugle and his team homed in on the concept of a low-cost household rainwater-storage device. Their research into prior solutions surfaced what seemed initially like a promising approach: storing rainwater in a 525-gallon jar that was almost as tall as an adult and three times as wide. In Thailand, they learned, 5 million of those jars had been deployed over five years. After further investigation, however, they found that the jars were made of cement, which was available in Thailand at a low price. More important, the country’s good roads made it possible to manufacture the jars in one location and transport them in trucks around the country. That solution wouldn’t work in areas that had neither cement nor high-quality roads. Indeed, through interviews with villagers in Uganda, EWV found that even empty polyethylene barrels large enough to hold only 50 gallons of water were difficult to carry along a path. It became clear that a viable storage solution had to be light enough to be carried some distance in areas without roads. What are the internal and external constraints on implementing a solution? Now that you have a better idea of what you want to accomplish, it’s time to revisit the issue of resources and organizational commitment: Do you have the necessary support for soliciting and then evaluating possible solutions? Are you sure that you can obtain the money and the people to implement the most promising one? External constraints are just as important to evaluate: Are there issues concerning patents or intellectual-property rights? Are there laws and regulations to be considered? Answering these questions may require consultation with various stakeholders and experts. Do you have the necessary support for soliciting and evaluating possible solutions? Do you have the money and the people to implement the most promising one? EWV’s exploration of possible external constraints included examining government policies regarding rainwater storage. Naugle and his team found that the governments of Kenya, Tanzania, Uganda, and Vietnam supported the idea, but the strongest proponent was Uganda’s minister of water and the environment, Maria Mutagamba. Consequently, EWV decided to test the storage solution in Uganda. Step 4: Write the Problem Statement Now it’s time to write a full description of the problem you’re seeking to solve and the requirements the solution must meet. The problem statement, which captures all that the organization has learned through answering the questions in the previous steps, helps establish a consensus on what a viable solution would be and what resources would be required to achieve it. A full, clear description also helps people both inside and outside the organization quickly grasp the issue. This is especially important because solutions to complex problems in an industry or discipline often come from experts in other fields (see “Getting Unusual Suspects to Solve R&D Puzzles,” HBR May 2007). For example, the method for moving viscous oil from spills in Arctic and subarctic waters from collection barges to disposal tanks came from a chemist in the cement industry, who responded to the Oil Spill Recovery Institute’s description of the problem in terms that were precise but not specific to the petroleum industry. Thus the institute was able to solve in a matter of months a challenge that had stumped petroleum engineers for years. (To read the institute’s full problem statement, visit hbr.org/problem-statement1.) Here are some questions that can help you develop a thorough problem statement: Is the problem actually many problems? The aim here is to drill down to root causes. Complex, seemingly insoluble issues are much more approachable when broken into discrete elements. For EWV, this meant making it clear that the solution needed to be a storage product that individual households could afford, that was light enough to be easily transported on poor-quality roads or paths, and that could be easily maintained. What requirements must a solution meet? EWV conducted extensive on-the-ground surveys with potential customers in Uganda to identify the must-have versus the nice-to-have elements of a solution. (See the sidebar “Elements of a Successful Solution.”) It didn’t matter to EWV whether the solution was a new device or an adaptation of an existing one. Likewise, the solution didn’t need to be one that could be mass-produced. That is, it could be something that local small-scale entrepreneurs could manufacture. Elements of a Successful Solution EnterpriseWorks/VITA surveyed potential customers in Uganda to develop a list of must-have and nice-to-have elements for a product that would provide access to clean drinking water. The winning solution, shown here in a Ugandan village, met all the criteria. Must-Have 1. A price, including installation, of no more than $20 2. Storage capacity of at least 125 gallons 3. A weight light enough for one adult to carry a half mile on rough paths 4. Material that would prevent deterioration of water quality 5. An estimate of the cost of operating and maintaining the device over three years and a clear explanation of how to repair and replace components 6. A means, such as a filter, of removing gross organic matter from the incoming rain stream 7. A means, such as a tap or a pump, of extracting water without contaminating the contents of the unit 8. A method for completely draining the water and cleaning the system Nice-to-Have 1. An aesthetically pleasing design 2. Additional functionality so that the unit could be used for multiple purposes 3. Features such as a modular design or salvageable parts that would add value to the device after its lifetime Experts in rainwater harvesting told Naugle and his team that their target price of $20 was unachievable, which meant that subsidies would be required. But a subsidized product was against EWV’s strategy and philosophy. Which problem solvers should we engage? The dead end EWV hit in seeking a $20 solution from those experts led the organization to conclude that it needed to enlist as many experts outside the field as possible. That is when EWV decided to engage InnoCentive and its network of 250,000 solvers. What information and language should the problem statement include? To engage the largest number of solvers from the widest variety of fields, a problem statement must meet the twin goals of being extremely specific but not unnecessarily technical. It shouldn’t contain industry or discipline jargon or presuppose knowledge of a particular field. It may (and probably should) include a summary of previous solution attempts and detailed requirements. With those criteria in mind, Naugle and his team crafted a problem statement. (The following is the abstract; for the full problem statement, visit hbr.org/problem-statement2.) “EnterpriseWorks is seeking design ideas for a low-cost rainwater storage system that can be installed in households in developing countries. The solution is expected to facilitate access to clean water at a household level, addressing a problem that affects millions of people worldwide who are living in impoverished communities or rural areas where access to clean water is limited. Domestic rainwater harvesting is a proven technology that can be a valuable option for accessing and storing water year round. However, the high cost of available rainwater storage systems makes them well beyond the reach of low-income families to install in their homes.A solution to this problem would not only provide convenient and affordable access to scarce water resources but would also allow families, particularly the women and children who are usually tasked with water collection, to spend less time walking distances to collect water and more time on activities that can bring in income and improve the quality of life.” To engage the largest number of solvers from the widest variety of fields, a problem statement must meet the twin goals of being extremely specific but not unnecessarily technical. What do solvers need to submit? What information about the proposed solution does your organization need in order to invest in it? For example, would a well-founded hypothetical approach be sufficient, or is a full-blown prototype needed? EWV decided that a solver had to submit a written explanation of the solution and detailed drawings. What incentives do solvers need? The point of asking this question is to ensure that the right people are motivated to address the problem. For internal solvers, incentives can be written into job descriptions or offered as promotions and bonuses. For external solvers, the incentive might be a cash award. EWV offered to pay $15,000 to the solver who provided the best solution through the InnoCentive network. How will solutions be evaluated and success measured? Addressing this question forces a company to be explicit about how it will evaluate the solutions it receives. Clarity and transparency are crucial to arriving at viable solutions and to ensuring that the evaluation process is fair and rigorous. In some cases a “we’ll know it when we see it” approach is reasonable—for example, when a company is looking for a new branding strategy. Most of the time, however, it is a sign that earlier steps in the process have not been approached with sufficient rigor. EWV stipulated that it would evaluate solutions on their ability to meet the criteria of low cost, high storage capacity, low weight, and easy maintenance. It added that it would prefer designs that were modular (so that the unit would be easier to transport) and adaptable or salvageable or had multiple functions (so that owners could reuse the materials after the product’s lifetime or sell them to others for various applications). The overarching goal was to keep costs low and to help poor families justify the purchase. The Winner Ultimately, the solution to EWV’s rainwater-storage problem came from someone outside the field: a German inventor whose company specialized in the design of tourist submarines. The solution he proposed required no elaborate machinery; in fact, it had no pumps or moving parts. It was an established industrial technology that had not been applied to water storage: a plastic bag within a plastic bag with a tube at the top. The outer bag (made of less-expensive, woven polypropylene) provided the structure’s strength, while the inner bag (made of more-expensive, linear low-density polyethylene) was impermeable and could hold 125 gallons of water. The two-bag approach allowed the inner bag to be thinner, reducing the price of the product, while the outer bag was strong enough to contain a ton and a half of water. The structure folded into a packet the size of a briefcase and weighed about eight pounds. In short, the solution was affordable, commercially viable, could be easily transported to remote areas, and could be sold and installed by local entrepreneurs. (Retailers make from $4 to $8 per unit, depending on the volume they purchase. Installers of the gutters, downspout, and base earn about $6.) EWV developed an initial version and tested it in Uganda, where the organization asked end users such questions as What do you think of its weight? Does it meet your needs? Even mundane issues like color came into play: The woven outer bags were white, which women pointed out would immediately look dirty. EWV modified the design on the basis of this input: For example, it changed the color of the device to brown, expanded its size to 350 gallons (while keeping the target price of no more than $20 per 125 gallons of water storage), altered its shape to make it more stable, and replaced the original siphon with an outlet tap. After 14 months of field testing, EWV rolled out the commercial product in Uganda in March 2011. By the end of May 2012, 50 to 60 shops, village sales agents, and cooperatives were selling the product; more than 80 entrepreneurs had been trained to install it; and 1,418 units had been deployed in eight districts in southwestern Uganda. EWV deems this a success at this stage in the rollout. It hopes to make the units available in 10 countries—and have tens or hundreds of thousands of units installed—within five years. Ultimately, it believes, millions of units will be in use for a variety of applications, including household drinking water, irrigation, and construction. Interestingly, the main obstacle to getting people to buy the device has been skepticism that something that comes in such a small package (the size of a typical five-gallon jerrican) can hold the equivalent of 70 jerricans. Believing that the remedy is to show villagers the installed product, EWV is currently testing various promotion and marketing programs.As the EWV story illustrates, critically analyzing and clearly articulating a problem can yield highly innovative solutions. Organizations that apply these simple concepts and develop the skills and discipline to ask better questions and define their problems with more rigor can create strategic advantage, unlock truly groundbreaking innovation, and drive better business performance. Asking better questions delivers better results.
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