SWOT, Risk, Pain points -> Informed Decisions

Promote your AIPRM Prompt
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Link to Prompt

link to Prompt "SWOT, Risk, Pain points -> Informed Decisions" by "Lavaillais" - AIPRM for ChatGPT

What the Prompt does

The objective of this prompt is to conduct a SWOT analysis, a combined analysis, and synthesis on a given subject.

  • designed to assist in the analysis and management of risks for personal and professional projects.
  • provides a decision-making tool to facilitate the selection of the most appropriate options for a project.
  • helps anticipate risks and pain points for a product or service.

The logical structure is communicate the key elements of a professional analysis:

  • Projet
  • Areas of expertise
  • SWOT analysis
  • Combined analysis of Risk assessment matrix and Pain Point Table
  • Synthesis
    To provide targeted information, the prompt includes relevant areas of expertise to enhance the output. By specifying the areas of expertise, we obtain responses that better meet the user’s expectations.

Example Prompt Output GPT3.5

Input:
i want to buy an electric car for personal use`

Output:
Name: Buying an Electric Car for Personal Use

Areas of expertise: Automotive industry, Electric vehicles, Sustainability, Personal finance, Environmental impact assessment, Energy infrastructure, Consumer behavior, Battery technology, Risk analysis, Project management.

Pitch: Buying an electric car for personal use is a sustainable and environmentally friendly choice. Electric vehicles (EVs) offer several advantages, such as lower emissions, reduced fuel costs, and a quieter driving experience. This idea involves analyzing the strengths, weaknesses, opportunities, and threats (SWOT) associated with purchasing an electric car, as well as conducting a comprehensive risk assessment and identifying potential pain points.

1 - SWOT Analysis:

Internal SWOT Strengths :chart_with_upwards_trend: Weaknesses :chart_with_downwards_trend:
:arrow_right: Main strengths 1. Lower operating costs 1. Higher upfront cost compared to conventional cars
2. Environmental friendliness 2. Limited charging infrastructure in some areas
3. Potential government incentives and tax benefits 3. Relatively shorter driving range compared to internal combustion engine vehicles
4. Reduced maintenance requirements 4. Longer refueling time compared to gasoline refueling
5. High energy efficiency 5. Potential battery degradation over time
External SWOT Opportunities :chart_with_upwards_trend: Threats :chart_with_downwards_trend:
:arrow_right: Main opportunities 1. Growing charging infrastructure network 1. Limited availability of charging stations in some areas
2. Expansion of government incentives and subsidies 2. Fluctuating electricity prices
3. Technological advancements in battery technology 3. Competition from other electric car manufacturers
4. Increasing consumer interest in sustainable transportation 4. Potential supply chain disruptions for critical components
5. Potential resale value due to increasing demand for used EVs 5. Uncertainty surrounding future regulations and policies

2 - Combined Analysis:

Risks/Pain Points Probability (1-5) Impact (1-5) Frequency (1-5) Score (Probability x Impact x Frequency) Potential Solutions
:arrow_right: Direct Risks
1. Limited charging infrastructure availability in the area 3 4 2 24 1. Research charging station locations in advance, 2. Install a home charging station
2. Battery degradation over time leading to reduced range 4 4 3 48 1. Follow proper battery maintenance guidelines, 2. Understand battery warranty and replacement options
3. Potential supply chain disruptions for critical components 2 3 2 12 1. Diversify suppliers for critical components, 2. Maintain close communication with suppliers for early warning on potential disruptions
:arrow_right: Indirect Risks
4. Fluctuating electricity prices affecting operating costs 3 3 4 36 1. Consider installing solar panels for home charging, 2. Explore

alternative energy contracts for charging |
| 5. Uncertainty surrounding future regulations and policies | 4 | 2 | 3 | 24 | 1. Stay updated on government policies and incentives, 2. Engage in industry associations and advocacy groups for influencing favorable regulations |
| :arrow_right: Significant Pain Points | | | | | |
| 6. Higher upfront cost compared to conventional cars | 4 | 4 | 2 | 32 | 1. Research and compare available EV models and their price range, 2. Explore financing options and potential incentives |
| 7. Longer refueling time compared to gasoline refueling | 3 | 3 | 3 | 27 | 1. Plan trips and charging stops strategically, 2. Utilize fast-charging stations when available |
| 8. Limited availability of charging stations in some areas | 3 | 3 | 4 | 36 | 1. Utilize charging station locator apps or websites, 2. Plan routes with charging station availability in mind |
| :arrow_right: Indirect Pain Points | | | | | |
| 9. Competition from other electric car manufacturers | 3 | 2 | 3 | 18 | 1. Research and compare different electric car models and their features, 2. Consider long-term reliability and after-sales support |
| 10. Potential competition for charging stations at peak times | 2 | 3 | 3 | 18 | 1. Plan charging activities during off-peak hours, 2. Utilize smart charging systems to optimize charging times |

3 - Synthesis:

Based on the combined analysis, the top 5 priority actions for successfully buying an electric car for personal use are:

  1. Research charging infrastructure and plan ahead: Identify available charging stations in your area and along your regular routes. Install a home charging station to ensure convenient charging options.

  2. Follow battery maintenance guidelines: Take proper care of the battery to prevent degradation and maintain optimal driving range. Understand the battery warranty and replacement options to address any potential issues.

  3. Diversify suppliers and maintain communication: Mitigate the risk of supply chain disruptions by diversifying suppliers for critical components. Maintain close communication with suppliers to receive early warnings and plan for contingencies.

  4. Stay updated on regulations and policies: Stay informed about government regulations and incentives related to electric vehicles. Engage with industry associations and advocacy groups to influence favorable regulations that support electric vehicle adoption.

  5. Research and compare EV models: Evaluate various electric car models, considering factors such as price, features, reliability, and after-sales support. Explore financing options and potential incentives to mitigate the higher upfront cost.

Alternative solutions for each priority action could include:

  1. Research charging infrastructure and plan ahead: Utilize mobile apps or websites that provide real-time charging station availability. Consider alternative charging options, such as workplace or destination charging.

  2. Follow battery maintenance guidelines: Consult with authorized service centers for battery maintenance recommendations. Explore third-party battery health monitoring systems for early detection of potential issues.

  3. Diversify suppliers and maintain communication: Conduct periodic supplier assessments and maintain relationships with multiple suppliers. Implement supplier risk management strategies, such as dual sourcing or safety stock agreements.

  4. Stay updated on regulations and policies: Join online forums and participate in EV owner communities to stay updated on the latest policy changes. Engage in public consultations to provide input on future regulations.

  5. Research and compare EV models: Consider leasing options to reduce upfront costs. Explore local dealerships and test drive different electric car models to assess comfort and driving experience.

By prioritizing these actions and considering the alternative solutions, you can enhance

your decision-making process and minimize risks associated with buying an electric car for personal use. Remember to continually monitor the evolving electric vehicle market and adapt your approach accordingly to make the most informed and successful purchase.

Example Prompt Output GPT4

Input:
i want to buy an electric car for personal use

Output:
Name: Electric Car for Personal Use

Areas of expertise: Automotive industry know-how, understanding of electric vehicle technology, financial planning, environmental impact assessment, personal transportation needs evaluation, trend prediction, risk management, market analysis, consumer behavior, analysis of government policies and regulations.

Pitch: Considering the rapidly moving tide towards sustainable and greener transportation, the idea is to purchase an electric car for personal use. This resonates with the environmental concerns, while providing an economic and efficient transportation solution.

1 - SWOT Analysis:

:chart_with_upwards_trend: Strengths :chart_with_downwards_trend: Weaknesses
:zap: Internal SWOT
Cost-effective in long run High upfront cost
Environmentally friendly Limited driving range
Lower maintenance cost Charging infrastructure
Eligibility for tax credits and incentives Dependent on electricity prices
Improved technological aspects Slow charging times
:chart_with_upwards_trend: Opportunities :chart_with_downwards_trend: Threats
:globe_with_meridians: External SWOT
Increasing public charging infrastructure Uncertainty about battery life
Favorable government policies Changes in govt. policies and incentives
Increasing fuel prices Technological obsolescence
Wide range of EV options High competition in EV market
Growing consumer awareness towards sustainable living Economic instability

2 - Combined Analysis:

:x:Risks/Pain Points :game_die:Probability (1-5) :dart:Impact (1-5) :alarm_clock:Frequency (1-5) :bar_chart:Score :white_check_mark:Potential Solutions
High upfront cost 5 4 4 80 Exploring finance options, pursuing government incentives
Limited driving range 3 3 2 18 Ensuring access to charging points, choosing a model with higher range
Uncertainty about battery life 3 5 4 60 Understanding warranties, trends in battery technology
High competition in EV market 2 3 3 18 Thorough market research, consulting EV experts
Economic instability 2 5 1 10 Discuss with financial advisor, diversifying financial investments
Dependent on electricity prices 3 3 3 27 Assessing local electricity costs, solar chargers
Charging infrastructure 4 4 2 32 Planning home charging setup, leveraging public charging networks
Changes in govt. policies and incentives 2 4 2 16 Regular monitoring of government policies, engaging with EV groups
Slow charging times 2 2 3 12 Installing a fast home charger, scheduling charging during off-peak hours
Technological obsolescence 2 4 2 16 Keeping track of technological advancements, considering leasing options

3 - Synthesis:
The top five priority actions based on SWOT and combined analysis are:

  • Managing High Upfront Cost: Take advantage of government incentives and explore financing options to counter the high upfront cost of electric cars
    Alternate action: Consider leasing an electric vehicle.
  • Enhancing Charging Infrastructure: Invest in home charging setup and gain knowledge of nearby charging networks.
    Alternate action: Choose a model with better range and faster charging ability.
  • Dealing with Limited Driving Range: Always have access to charging points, preferably a home charging setup.
    Alternate action: Consider hybrid vehicles to combat range anxiety.
  • Understanding Battery Life: Invest time in understanding battery technology and warranties associated by manufacturers.
    Alternate action: Lease instead of buy, to evade depreciating battery values.
  • Staying Updated with Govt. Policies: Stay in tune with changing government policies and incentives which affect ownership cost.
    Alternate action: Connect with local EV advocacy groups for up-to-date information.

Screenshot is only useful if it is about Emoji, Images or Mermaid charts rendered by ChatGPT,
in all other cases the text is better. Why? Because it’s indexable.

How I came up with it

I love everything that can be done with these new tools ( english and french), especially when it comes to decision-making or problem-solving.

In this case, the objective is to be able to assess a question or problem as quickly as possible: a new product, a new service, or a choice with measurable consequences.

A présentation with tables and emojis helps quickly identify the important information.

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2

These are the things that LLM-based AIs actually don’t do well at all. Take a look, for example, at your own example above. See the SWOT analysis, which is supposed to be about “Buying an Electric Car for Personal Use”. Do you see how it mistakenly made the exact same point in Weaknesses as it Threats - namely “Limited availability of charging stations in some areas”? That one is forgivable of course. But also in Threats is “3. Competition from other electric car manufacturers” which is absolute nonsense. Increased competition from manufacturers drives down prices, which is at least an Opportunity, and actually closer to an existing Strength. This is caused by the AI getting confused by training material on the benefits and disadvantages of EVs from the manufacturing or general automotive aspect, rather than the clearly asked for ‘personal use’ perspective.

It took me just seconds to find that error. I assure you there are many, many others.

LLM means Large Language Model. It is exactly what it says - it models Language, not logic. It predicts and generates the language it would expect to find if your prompt were a Q on a Q&A page, based on the millions of documents it was trained on. It is not a Large Logic Model. It is not an AI built for decision making. It just predicts the most statistically likely response, which may often coincide with something that was reasoned out, thought through, but actually wasn’t arrived at through applying logic to the problem at all, only predicting the patterns of language involved.

See A Crash Course in LLM-based AI for a more detailed explanation of how LLMs work, and why they may seem to be using logic and judgement, but actually not only don’t, but currently can’t do. There’s millions of dollars going into each of hundreds of bits of research right now into how to give an LLM-based AI the capacity to use a Knowledge Graph, or how to incorporate better logic, etc. I mention just a few of the hundreds of these in that thread.

Understand that this criticism is constructive in intent. I want you to understand the limitations so that you can create better, more reliable prompts in future. Ones that use the actual strengths of AI, and don’t misunderstand the weaknesses of the current tech.

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