Identifying unwanted variability
To identify noise, organizations can use various methods, such as:
1. Decision audits: Analyze decision-making processes to identify inconsistencies and biases.
2. Judgment analysis: Study how individuals or teams make judgments and decisions to identify patterns of noise.
3. Data analysis: Examine data to identify variability in outcomes that cannot be explained by legitimate factors.
To identify noise, organizations can use various methods, such as:
1. Decision audits: Analyze decision-making processes to identify inconsistencies and biases.
2. Judgment analysis: Study how individuals or teams make judgments and decisions to identify patterns of noise.
3. Data analysis: Examine data to identify variability in outcomes that cannot be explained by legitimate factors.
[et/acc - Noise Audit Curriculum for Orgs ]
Module 1: Introduction to Noise
- Definition and concept of noise
- Types of noise (e.g., cognitive biases, variability in judgment, errors)
- Importance of noise reduction in decision-making
Module 2: Understanding Decision-Making
- Overview of decision-making processes
- Cognitive biases and heuristics
- Factors influencing decision-making (e.g., emotions, context, framing effects)
Module 3: Identifying Noise
- Decision audits: methods and tools
- Judgment analysis: techniques and applications
- Data analysis for noise detection
Module 4: Reducing Noise
- Strategies for noise reduction (e.g., decision protocols, checklists, blind judging)
- Implementing noise-reducing measures in organizations
- Case studies of successful noise reduction initiatives
Module 5: Implementing a Noise Audit
- Planning and conducting a noise audit
- Data collection and analysis
- Reporting and presenting findings
Module 6: Sustaining a Noise-Reducing Culture
- Creating a culture of noise awareness and reduction
- Training and development programs for noise reduction
- Continuous monitoring and evaluation of noise levels
Module 1: Introduction to Noise
- Definition and concept of noise
- Types of noise (e.g., cognitive biases, variability in judgment, errors)
- Importance of noise reduction in decision-making
Module 2: Understanding Decision-Making
- Overview of decision-making processes
- Cognitive biases and heuristics
- Factors influencing decision-making (e.g., emotions, context, framing effects)
Module 3: Identifying Noise
- Decision audits: methods and tools
- Judgment analysis: techniques and applications
- Data analysis for noise detection
Module 4: Reducing Noise
- Strategies for noise reduction (e.g., decision protocols, checklists, blind judging)
- Implementing noise-reducing measures in organizations
- Case studies of successful noise reduction initiatives
Module 5: Implementing a Noise Audit
- Planning and conducting a noise audit
- Data collection and analysis
- Reporting and presenting findings
Module 6: Sustaining a Noise-Reducing Culture
- Creating a culture of noise awareness and reduction
- Training and development programs for noise reduction
- Continuous monitoring and evaluation of noise levels
[Service offerings]
1. Noise Audit: We conduct a comprehensive noise audit to identify unwanted variability in decision-making processes.
2. Noise Reduction Strategy: We Develop a customized strategy to reduce noise in decision-making processes.
3. Training and Development: We Provide training and development programs to equip employees with the skills to reduce noise.
4. Ongoing Support: We Offer ongoing support and monitoring to ensure sustained noise reduction.
1. Noise Audit: We conduct a comprehensive noise audit to identify unwanted variability in decision-making processes.
2. Noise Reduction Strategy: We Develop a customized strategy to reduce noise in decision-making processes.
3. Training and Development: We Provide training and development programs to equip employees with the skills to reduce noise.
4. Ongoing Support: We Offer ongoing support and monitoring to ensure sustained noise reduction.
{Our Pricing model}
- Project-based pricing: Charge a fixed fee for each noise audit or noise reduction strategy project.
- Retainer-based pricing: Offer a retainer fee for ongoing support and monitoring services.
- Training package pricing: Charge a fee for each training package or module.
{Our Target market}
- Governmental organizations: Focus on government agencies, regulatory bodies, and public institutions.
- Non-governmental organizations: Target NGOs, foundations, and non-profit organizations.
- Large corporations: Approach large corporations in various industries, such as finance, healthcare, and education.
- Project-based pricing: Charge a fixed fee for each noise audit or noise reduction strategy project.
- Retainer-based pricing: Offer a retainer fee for ongoing support and monitoring services.
- Training package pricing: Charge a fee for each training package or module.
{Our Target market}
- Governmental organizations: Focus on government agencies, regulatory bodies, and public institutions.
- Non-governmental organizations: Target NGOs, foundations, and non-profit organizations.
- Large corporations: Approach large corporations in various industries, such as finance, healthcare, and education.
Level noise: is when judges show different levels of severity.
Pattern noise: is when they disagree with one another on which defendants deserve more severe or more lenient treatment. Part of pattern noise is
Occasion noise: when judges disagree with themselves.
“The goal of judgment is accuracy, not individual expression”…..”But when it comes to making a judgment…expressions of individuality are a source of noise.”
Pattern noise: is when they disagree with one another on which defendants deserve more severe or more lenient treatment. Part of pattern noise is
Occasion noise: when judges disagree with themselves.
“The goal of judgment is accuracy, not individual expression”…..”But when it comes to making a judgment…expressions of individuality are a source of noise.”
The writers created six principles to define decision hygiene and how to address the psychological mechanisms that cause noise:
- The goal of judgement is accuracy, not individual expression.
- Think statistically, and take the outside view of the case.
- Structure judgements into several independent tasks.
- Resist premature intuitions.
- Obtain independent judgments from multiple judges, then consider aggregating those judgements.
- Favor relative judgments and relative scales.…
- The goal of judgement is accuracy, not individual expression.
- Think statistically, and take the outside view of the case.
- Structure judgements into several independent tasks.
- Resist premature intuitions.
- Obtain independent judgments from multiple judges, then consider aggregating those judgements.
- Favor relative judgments and relative scales.…
Never knew OpenAI has an unusual, extremely restrictive off-boarding agreement with a lifelong nondisparagement commitment; those who don't sign it lose all vested equity
Who knew when you leave OpenAI, you get an unpleasant surprise: a departure deal where if you don't sign a lifelong nondisparagement commitment, you lose all of your vested equity.
Lifetime NDA? 🥲
Can you do that to your employees?
Who knew when you leave OpenAI, you get an unpleasant surprise: a departure deal where if you don't sign a lifelong nondisparagement commitment, you lose all of your vested equity.
Lifetime NDA? 🥲
Can you do that to your employees?
😁1
A million seconds ago was May 8th
A billion seconds ago was 1993
A trillion seconds ago was 30,000 B.C.
The US national debt is now rising by $1 Trillion every 100 days
A billion seconds ago was 1993
A trillion seconds ago was 30,000 B.C.
The US national debt is now rising by $1 Trillion every 100 days
⚡1