My Communities

Decision-making is very important. You are as a manager sometimes you need to decide things do not you want. But you must do your best to choose the best thing.

Decisions cannot be based on mere intuition. Your decisions should be backed by data. One of the things Dora could is to do cost-benefit analysis and cut the program that was less effective in terms of supporting the women get jobs using evidence-based data.

Dora should look at the data and see the amount of people who attend these courses and how many people who use the mentorship program. Reviewing this data will provide her more ideas on which option is helping her students.

Dora should consider setting up a data collection tool and target the beneficiaries of the program to get views on which programs have been life changing to them and owing to limited financial resources which program would they like to continue and discontinue citing there support for their views.
Dora should not make a decision based on her experience for this may be a biased decision and maybe trends have changed from then and now.

Selon moi je trouve qu'elle a fait un bon choix

I think the writing skills should be cut down because the technology class is very important and they can find a job since technology is used in every domain unlike writing

A writing skills course should be cut down and maintain technology course because life is getting very modern and technology is used in every single domain so this course will help woman find a better job.

Dora should carry out an Evaluation for all the programs in order to get a clear picture of which program has great impact as compared to others, rather than only basing on her intuition.

This interpretation has an element of truth in it. However, it is oversimplified. After all, while the client discusses two types of symptoms related to HIV/AIDS—facial sores and unspecified, malaria-related symptoms—she only connects the facial sores to her social confidence.

Also, the statement that HIV/AIDS symptoms cause social shame implies that this is a strong relationship that occurs in all patients. This would be too strong a conclusion to draw from a single interview. Clearly, the relationship between symptoms and social confidence is a bit more complicated than our interpretation suggests.

Here is a more detailed and nuanced interpretation:

Visible symptoms of HIV/AIDS, such as sores, cause some patients to experience social shame. Treating these symptoms can give patients more social confidence.

This analysis is an improvement. It acknowledges the complexity of the relationship between symptoms and social confidence. It also acknowledges that this is a relationship that may only affect some patients.

This analysis could be improved even more by including a few illustrative examples. Which quotations from the text would best support this interpretation?Communities_Mozambique_Story.pdf

In my own opinion, it seems that this mentorship is really helpful since Dora's success came from it also so I really think that the mentorship program should still move forward and as of cutting one of the two programs I think that Dora should put on an effort of finding funding elsewhere because I believe that it might interest some funders too as the programs are really helpful. So unless that fails that's when one of the programs can be cut now and to me I feel that its best to cut the technology first so that these women learn how to write professionally which will help them write professional business ideas, proposals etc. and from then they can learn technology maybe after finding a means from their professional writing skills from funders.

I am of the view that she should analyse the data from the programs and make an informed decision based on the key findings from such.

I think Dora faces the challenging task of deciding which programs to cut due to reduced funding. She is torn between her personal inclination to keep the mentorship program, which had a significant impact on her life, and the need to make an objective, data-driven decision. To make the best choice,
Dora should follow a structured decision-making process, including defining clear objectives, gathering relevant program data, analyzing the data objectively, engaging stakeholders, considering long-term impact, and ultimately making an informed decision that aligns with the organization's mission and goals. While her intuition is valuable, it should complement, not replace, the data-driven approach to ensure the NGO continues to serve its mission effectively.

Dora should cancel the writing classes as we know that we live in a world of technology so the technology class will help students to be more productive and to learn more since we are using things like laptops and other digital staff so it will help the students to be more advanced

To make an informed decision that aligns with the organization's goals and maximizes the impact on women from low-income communities, she should follow a systematic process of monitoring and evaluation. Here's a step-by-step approach:

Assess the Goals and Objectives: Dora should start by revisiting the NGO's mission, goals, and objectives. What is the primary purpose of the organization? What outcomes are they trying to achieve with their programs? This step will provide a clear framework for evaluating the programs.

Collect Data: Gather data on the performance and impact of each program. This could include information such as the number of women served, success stories, participant feedback, and any measurable outcomes (e.g., job placement rates, income improvement).

Evaluate Effectiveness: Assess how each program contributes to the organization's mission and objectives. Consider the long-term impact on the women in low-income communities. For example, does the mentorship program lead to sustained job placements, while the technology and writing classes might provide specific skills but with less long-term impact?

Cost-Benefit Analysis: Compare the costs associated with each program to their benefits. This includes both financial costs and staff time. Dora should consider the return on investment (ROI) for each program. Are some programs more cost-effective than others in achieving the desired outcomes?

Stakeholder Input: Consult with stakeholders, including program participants, staff, donors, and board members. Their perspectives and feedback can provide valuable insights into the perceived value and impact of each program.

Consider External Factors: Analyze external factors that may influence the decision. For example, are there other organizations in the community offering similar programs? Is there a growing demand for specific skills in the job market?

Alignment with Core Values: Evaluate how each program aligns with the core values and beliefs of the NGO. Dora's personal experience and belief in the importance of mentorship should be considered, but it should not be the sole basis for the decision.

Scenario Planning: Explore different scenarios. Dora might consider a phased approach, reducing the scale of one or more programs instead of cutting them entirely, if that helps in managing the reduced funding.

Prioritize Impact: Ultimately, Dora should prioritize the program(s) that have the greatest positive impact on the target beneficiaries and are aligned with the organization's mission and values.

Communicate the Decision: Once a decision is made, it's crucial to communicate it transparently to all stakeholders, explaining the rationale behind the choice and any plans for transitioning or discontinuing programs.

In conclusion, Dora should base her decision on a thorough analysis of data and a clear understanding of her organization's mission and goals. While personal experiences and intuition can provide insights, the decision should primarily be driven by evidence and the best interests of the women in low-income communities her NGO serves.

Dora should come up with a decision to connect women to be successful entrepreneurs

Quantitative analysis functions are mathematical and precise. There is only one correct answer to the question, “What is the mean age of the participants?” A dozen different data analysts could answer this question and, assuming that they were looking at the same data, arrive at exactly the same answer.

Qualitative data analysis is different. There is no objective, mathematically precise way to analyze a 500-word interview with a participant. Instead, you will need to be flexible about your approach. According to the National Science Foundation, qualitative analysis is:

despite mentorship working for most of us in the professional sector, it might not be ideal for everyone to adopt it, I'd rather she is informed by the data from the women, by asking which program is helping them the most.

Dora decision should not just be based on her own personal experience rather it should be objective by determining the most effective program in this case.

Dora has evidence that the mentorship program works, she should keep that. Next is to look in her data to compare costs of the remaining two courses and how effective each has been in helping the women and determine which one to keep. however if both are effective she can look in the program design to consider free mentorship programs

She needs to conduct a survey/collect information and a align her decision with the findings of the survey.

Dora must cut all enrollment for all programs. bias towards mentorship program will not help

Data-driven decisions refer to the process of making choices based on data analysis and interpretation rather than solely relying on intuition or personal experience. By analyzing relevant data, businesses and individuals can identify patterns, trends, and insights that can inform their decisions, leading to more informed and effective choices. This approach is widely used in various fields, including business, healthcare, finance, and technology, to optimize processes, improve performance, and achieve better outcomes.

Go with her intuition. Because her NGOs goal is to help women from low-income communities get jobs. With this mentorship program that connects women to successful female entrepreneurs, more jobs will be created out of this.

I think Dora should make data- driven decisions. She should do a quick research on the programme which is more important for women to get a job. After that, she can make an informed decision.

Use data that underscores the significance of each project to stand guided in making informed decisions in view of asserting with projects are " Must haves".

The purpose of any M&E process is, ultimately, to learn something and to use what you learn to improve performance. How effective are your programs? Who are your beneficiaries, and which of them are being helped?

Data are simply pieces of raw information. To understand what data mean requires special tools and processes.

Before starting this module, consult the stakeholder map that you created in Module 2. What are the questions that your stakeholders would like answered? These questions should be the starting point for your data analysis.

Dora would need to find out the impact that each of the programs have had on the women by conducting a survey. From this she can make an informed decision to keep the program that is most beneficial to the women and consider returning the others when funding is more favourable.

Dora would need to find out the impact that each of the programs have had on the women by conducting a survey. From this she can make an informed decision to keep the program that is most beneficial to the women and consider returning the others when funding is more favourable.

She should access the right information about the classes in order to make informed decisions

I do believe that Dora should rely on collecting more data from other people's opinions with regard to that problem. So collecting more data from other people's views shall help her to draw good and accurate decisions. She must involve other people who have a stake as well as the learners in the decision making. She must also draw an analysis in comparing the performance and the reliability in comparison to both courses. So, the course that shows a good magnitude of success rate to the learners can be adopted. The decision shall be drawn from the findings through her observation and she will be able to draw the thorough decision and reccomend on the course to be eliminated.

Dora devrait maintenir les deux cours tout en réduisant certains coûts

Dora faces a challenging decision in choosing which program to cut due to reduced funding for her NGO. Let's analyze the factors and potential implications of each option:

Mentorship Program:

Pros:
Personal Connection: Dora has a personal connection to the value of mentorship, and it played a significant role in her success.
Long-Term Impact: Mentorship can have long-lasting effects on personal and professional development.
Cons:
Lack of Quantifiable Outcomes: The impact of mentorship programs might be challenging to measure quantitatively, making it harder to justify its continuation during funding constraints.
Professional Writing Skills Class:

Pros:
Tangible Skill Development: Writing skills are tangible and can directly contribute to participants' employability.
Potential for Measurable Outcomes: The outcomes of a writing skills class may be easier to measure compared to the less tangible impact of mentorship.
Cons:
Lack of Personal Connection: Unlike mentorship, a writing class may lack the personal touch and connection that mentoring relationships offer.
Technology Skills Class:

Pros:
Current Job Market Relevance: Technology skills are highly relevant in the job market and can enhance participants' employability.
Potential for Measurable Outcomes: Similar to the writing skills class, the impact of technology skills development may be more quantifiable.
Cons:
Limited Personal Connection: Like the writing class, the technology skills program may lack the personal connection found in mentorship.
Considerations for Decision-Making:

Impact Measurement: Dora should consider the ease of measuring the impact of each program, especially if transparency and accountability are essential to funders.
Job Market Demand: Assessing the current demand for professional writing or technology skills in the job market can guide the decision based on the programs' relevance.
Personal Bias: Dora should be aware of her personal bias towards mentorship and strive to make an objective decision based on the overall impact of each program.
In making this decision, Dora may need to strike a balance between personal sentiments, program impact, and the practicality of demonstrating outcomes to secure future funding. Engaging with stakeholders, including program participants, can also provide valuable insights into the perceived value of each program.

Discussion:

Program Impact:

Consider the potential impact of each program on the women served by the NGO. How does each program contribute to their professional development and job opportunities?
Discuss the short-term and long-term effects of the mentorship program, professional writing class, and technology class.
Resource Allocation:

Explore the financial and resource considerations associated with each program. What are the costs and benefits of maintaining the mentorship program compared to the writing and technology classes?
Discuss any potential cost-saving measures or alternative funding sources for the programs.
Organizational Values:

Reflect on the core values and mission of the NGO. How do the programs align with the organization's overall goals and values?
Discuss the importance of maintaining programs that resonate with the NGO's mission and principles.
Stakeholder Involvement:

Consider involving stakeholders, including beneficiaries and staff, in the decision-making process. How might their perspectives influence the decision?
Discuss the potential benefits and challenges of seeking input from those directly impacted by the programs.
Long-Term Sustainability:

Explore the long-term sustainability of each program. Which program is more likely to have a lasting impact on the women served by the NGO?
Discuss the potential for scalability and replicability of each program.
Decision-Making Criteria:

Define the criteria that Dora should consider in making her decision. What factors should weigh more heavily in the decision-making process?
Discuss the ethical considerations associated with cutting a program and its potential consequences.
Alternative Solutions:

Explore alternative solutions or strategies that might allow the NGO to continue offering valuable services despite reduced funding.
Discuss creative approaches, partnerships, or fundraising ideas that could help sustain the organization's programs.

Discussion:

Dora is faced with a challenging decision of determining which professional education program to cut due to reduced funding. Each program—mentorship, professional writing skills, and technology skills—plays a crucial role in helping women from low-income communities secure jobs. Here are some factors and considerations for discussion:

Program Impact:

Evaluate the impact of each program on the participants. Consider factors such as the success stories, testimonials, and tangible outcomes achieved through each program.
Discuss how the programs contribute to the overall mission of helping women secure jobs.
Cost Analysis:

Examine the budget and costs associated with each program. Consider the financial sustainability of each program in the context of reduced funding.
Discuss whether one program is more cost-effective than others and how budget considerations should influence the decision.
Participant Feedback:

Explore whether there is feedback or data on participant satisfaction for each program. How do participants perceive the value and effectiveness of the mentorship, writing, and technology programs?
Discuss the importance of participant satisfaction in determining program success.
Long-Term Impact:

Consider the long-term impact of each program on the participants' careers and personal development. Which program provides skills and support that have enduring benefits?
Discuss the potential for long-term empowerment and success resulting from each program.
Dora's Personal Experience:

Reflect on Dora's personal experience and intuition regarding the mentorship program. Should personal experiences play a role in organizational decision-making, or should decisions be solely data-driven?
Discuss the balance between intuition and objective analysis in decision-making.
Strategic Alignment:

Consider how each program aligns with the organization's strategic goals and mission. Which program(s) are more aligned with the current needs and priorities of the community?
Discuss the strategic relevance of each program in the current context.
Potential for Adaptation:

Explore whether any of the programs have the potential for adaptation or collaboration with external partners to reduce costs while maintaining impact.
Discuss creative solutions for preserving the essence of each program in the face of funding challenges.
Communication and Stakeholder Engagement:

Discuss how Dora should communicate the decision to cut a program to the participants, staff, and other stakeholders.
Explore strategies for maintaining transparency and managing potential challenges related to program cuts.

Dora is facing a challenging decision regarding which professional education program to cut due to reduced funding. Here are some factors she might consider in making her decision:

Impact and Effectiveness:

Evaluate the impact and effectiveness of each program. Which program has demonstrated better outcomes in terms of helping women secure jobs? Consider factors such as job placement rates, skills acquired, and overall success stories.
Cost-Effectiveness:

Examine the cost-effectiveness of each program. Calculate the cost per participant for the mentorship program, writing class, and technology class. Determine which program provides the most value for the funding invested.
Alignment with Mission:

Consider how each program aligns with the NGO's mission and goals. If the primary objective is job placement, prioritize the program that contributes most directly to this mission.
Stakeholder Feedback:

Seek feedback from program participants, mentors, and other stakeholders. Understanding their perspectives can provide valuable insights into the perceived value of each program.
Long-Term Impact:

Assess the potential long-term impact of cutting a particular program. Some programs may have ripple effects or contribute to the overall success of the women in the long run.
Dora's Intuition vs. Data:

While Dora's intuition is valuable, it should be balanced with data-driven decision-making. If possible, analyze data on the success of each program rather than relying solely on personal experiences.
Skills in Demand:

Consider the current job market and identify which skills are in high demand. If either the writing or technology skills are more relevant to current job opportunities, that could influence the decision.
Alternative Funding Sources:

Explore alternative funding sources or partnerships that could sustain the programs. Dora may need to think creatively about securing resources to keep vital programs running.

Dora faces a challenging decision in determining which professional education program to cut due to reduced funding. Let's explore the factors she should consider:

Program Impact:

Evaluate the overall impact of each program. Assess which program contributes the most to the organization's mission of helping women from low-income communities get jobs.
Cost-Effectiveness:

Examine the cost-effectiveness of each program. Dora has limited resources, and it's crucial to understand which program delivers results efficiently in relation to its cost.
Personal Bias vs. Data:

While Dora's personal experience and intuition lean towards preserving the mentorship program, she should balance this with objective data. Consider the findings and data related to each program's effectiveness, cost, and participant outcomes.
Data-Driven Decision:

Utilize the data gathered by the Monitoring and Evaluation (M&E) team. The information on participant ratings, program costs, and the percentage of participants finding jobs after completion should guide the decision-making process.
Participant Needs:

Identify the specific needs of the women in the low-income communities. Which skill set—mentorship, professional writing, or technology—is more crucial for enhancing their employability? The decision should align with the participants' needs.
Long-Term vs. Short-Term Impact:

Consider the long-term impact of each program. While mentorship may have a personal significance for Dora, she needs to weigh its long-term benefits against the immediate, practical skills offered by writing and technology classes.
Stakeholder Involvement:

Involve key stakeholders, including program participants, in the decision-making process. Their insights and preferences can provide valuable perspectives and ensure that the chosen program aligns with the community's aspirations.
Alternative Funding Sources:

Explore alternative funding sources or partnerships that might allow the organization to maintain all programs. Collaborations with other organizations or seeking additional grants could be potential avenues.
Adaptability and Innovation:

Assess the adaptability and potential for innovation within each program. The organization may need to explore creative ways to continue delivering impactful education services with fewer resources.

i think the two classes can just be combined

Before taking any decision, Dora should analyze the past data and impact of each mentorship program. She should find out which professional program had the most impact and had helped the communities to get job. For this she need to find out the number of community member enrolled in job after the completion on each program by analyzing previous project data.

Deciding which program to cut requires careful analysis, not gut instinct. Dora should:

1. Analyze program impact: Look at data like employment rates and participant satisfaction.
2. Gather stakeholder input: Get feedback from participants, mentors, and employers.
3. Consider costs and resources: How much does each program cost, and does the organization have the staff to run it?
4. Think ethically: Are some programs more beneficial to certain groups? Which has longer-term impact?
5. Explore alternatives: Can programs be merged, funded differently, or pilot-tested?
6. Avoid bias: Don't let personal experiences or an emotional attachment influence the decision.

By taking these steps, Dora can make an informed and objective choice that best serves her organization and its beneficiaries.

Deciding which program to cut requires careful analysis, not gut instinct. Dora should:

1. Analyze program impact: Look at data like employment rates and participant satisfaction.
2. Gather stakeholder input: Get feedback from participants, mentors, and employers.
3. Consider costs and resources: How much does each program cost, and does the organization have the staff to run it?
4. Think ethically: Are some programs more beneficial to certain groups? Which has longer-term impact?
5. Explore alternatives: Can programs be merged, funded differently, or pilot-tested?
6. Avoid bias: Don't let personal experiences or an emotional attachment influence the decision.

By taking these steps, Dora can make an informed and objective choice that best serves her organization and its beneficiaries.

Deciding which program to cut requires careful analysis, not gut instinct. Dora should:

1. Analyze program impact: Look at data like employment rates and participant satisfaction.
2. Gather stakeholder input: Get feedback from participants, mentors, and employers.
3. Consider costs and resources: How much does each program cost, and does the organization have the staff to run it?
4. Think ethically: Are some programs more beneficial to certain groups? Which has longer-term impact?
5. Explore alternatives: Can programs be merged, funded differently, or pilot-tested?
6. Avoid bias: Don't let personal experiences or an emotional attachment influence the decision.

By taking these steps, Dora can make an informed and objective choice that best serves her organization and its beneficiaries.

Indeed data driven decision making avoid biasness in arriving at decision that might be costly to the organization with less impact. It is well explained on the steps of arriving at a rightful decision such as 1) Findings from the data; 2) drawing conclusions from the findings; 3) Developing recommendations from the conclusions; and 5) developing a schedule to effecting the recommendations.

in my opinion Dora needs to cut the writing skills class and continue with other two programs

Dora should follow the data from the three programs to asses which had the most impact so as to know which one to cut off. Her intuition may probably be right but she would be better of backed by data.

Dora should follow the data from the three programs to asses which had the most impact so as to know which one to cut off. Her intuition may probably be right but she would be better of backed by data.

Dora is facing a challenging decision regarding which program to cut due to reduced funding. It's evident that each program contributes uniquely to the NGO's mission of helping women from low-income communities get jobs through professional education services. Let's evaluate the options:

Mentorship Program:

Strengths: Dora recognizes the value of mentorship from her own experience and believes in its impact on personal and professional growth.
Considerations: Mentorship can provide personalized guidance, motivation, and networking opportunities.
Limitations: The mentorship program might have a smaller reach compared to structured classes, and the availability of suitable mentors could be a challenge.
Professional Writing Skills Class:

Strengths: Equips women with essential communication skills that are valuable in various professions.
Considerations: Effective writing is a fundamental skill in many workplaces, contributing to professionalism and career advancement.
Limitations: The demand for writing skills may vary across job sectors, and some women may already possess basic writing skills.
Technology Skills Class:

Strengths: Addresses the increasing demand for technology proficiency in the modern job market.
Considerations: Technology skills are highly transferable and can open doors to a wide range of employment opportunities.
Limitations: Some women may face barriers to access or may already possess basic technology skills.
Recommendation:
Considering the potential impact and scalability of each program, it's challenging to make a definitive recommendation without a deeper understanding of the specific needs and preferences of the target demographic. However, Dora should carefully weigh the following factors:

Impact and Reach:

Evaluate which program has a broader impact and aligns more closely with the employment needs of the women served by the NGO.
Cost and Resources:

Consider the costs associated with running each program, including materials, instructors, and administrative support.
Feedback and Success Stories:

Gather feedback and success stories from participants in each program to understand the tangible benefits and outcomes.
Alignment with Funding Priorities:

If possible, align the decision with the priorities of funding sources or seek diversified funding streams.
Long-Term Sustainability:

Assess the potential long-term impact and sustainability of each program in helping women secure employment and advance in their careers.
While Dora's intuition leans towards preserving the mentorship program, a comprehensive analysis of the factors mentioned above will provide a more informed basis for the decision. Additionally, exploring creative solutions, such as partnerships or program modifications, may help mitigate the impact of reduced funding on the NGO's overall mission.

The fact that she is a product of good mentorship is already data to consider. I think she can collect data on what the participants actually find more valuable and based on that she can assess to either eliminate the writting class or techonology. Based on the education level of the women as well, maybe tech will not have an immediate impact in their life and writting class is more basic and effective? She has to consider all of that.

Decision making

In the last module, we talked a lot about the importance of using data for decision making. Which of your stakeholders are waiting for data from your project before they can make an informed decision?

Ethics

As we discussed in Module 1, to adhere to the principle of honesty, we need to present our data accurately. We also need to present how we collected and analyzed our data. This way, all stakeholders, including beneficiaries, can fairly judge the work that you do.

Accountability

Is your project producing the outcomes that it promised to produce? If not, what went wrong? Regularly presenting data (and comparing your data to your project’s targets) will help your team stay on track and, when something goes wrong, fix the issue.

Dora is the executive director of a small NGO that helps women from low-income communities get jobs. The main way that they do this is by providing professional education services.

Unfortunately, it looks like there will be less funding this year. One or more of the professional education programs will need to be cut.

Dora thinks about her organization’s portfolio of programs. There is a mentorship program that connects women to successful female entrepreneurs. There is a class that teaches professional writing skills and another class that teaches technology skills. Which of these programs should be cut?

As she considers the programs, Dora reflects on her own experience. When she was a young woman, she was lucky enough to find a mentor who really supported her efforts to grow. Dora credits a lot of her success to this mentorship. She is tempted to listen to her intuition and keep the mentorship program while cutting either the technology or writing class.

Dora organization is having challenges to finance her organization to keep her organization running smoothly she needs to cut some activities. On which program to cut between Mentorship and professional skills training. Basing on the experience which she has on mentorship and the impact of it, it would make more sense to maintain mentorship program since its the one which we are sure of its success.

Dora is the executive director of a small NGO that helps women from low-income communities get jobs. The main way that they do this is by providing professional education services.

Unfortunately, it looks like there will be less funding this year. One or more of the professional education programs will need to be cut.

Dora thinks about her organization’s portfolio of programs. There is a mentorship program that connects women to successful female entrepreneurs. There is a class that teaches professional writing skills and another class that teaches technology skills. Which of these programs should be cut?

As she considers the programs, Dora reflects on her own experience. When she was a young woman, she was lucky enough to find a mentor who really supported her efforts to grow. Dora credits a lot of her success to this mentorship. She is tempted to listen to her intuition and keep the mentorship program while cutting either the technology or writing class. What should Dora do?

Dora is the executive director of a small NGO that helps women from low-income communities get jobs. The main way that they do this is by providing professional education services.

Unfortunately, it looks like there will be less funding this year. One or more of the professional education programs will need to be cut.

Dora thinks about her organization’s portfolio of programs. There is a mentorship program that connects women to successful female entrepreneurs. There is a class that teaches professional writing skills and another class that teaches technology skills. Which of these programs should be cut?

As she considers the programs, Dora reflects on her own experience. When she was a young woman, she was lucky enough to find a mentor who really supported her efforts to grow. Dora credits a lot of her success to this mentorship. She is tempted to listen to her intuition and keep the mentorship program while cutting either the technology or writing class

Dora is the executive director of a small NGO that helps women from low-income communities get jobs. The main way that they do this is by providing professional education services.

Unfortunately, it looks like there will be less funding this year. One or more of the professional education programs will need to be cut.

Dora thinks about her organization’s portfolio of programs. There is a mentorship program that connects women to successful female entrepreneurs. There is a class that teaches professional writing skills and another class that teaches technology skills. Which of these programs should be cut?

As she considers the programs, Dora reflects on her own experience. When she was a young woman, she was lucky enough to find a mentor who really supported her efforts to grow. Dora credits a lot of her success to this mentorship. She is tempted to listen to her intuition and keep the mentorship program while cutting either the technology or writing class

So sometimes we may skip from first before actually go inside ideas from our brainstorming how it will work or not,For me she should reflect on both the important benefits that will came out if she continues to provide this two services

Dora's decision is based on her PERSONAL experience in the past. This is a good thing ONLY FOR HER. However, we cannot conclude that Dora's decision can be supported in current scenario:

1. The time-interval from Dora's youth days to current.
2. Was she mentored in a group or individually? Yes, Individually. This is a decision that should impact several lives. Therefore, we cannot limit our decision to her experience.
3. Which indicators did Dora consider if she should use her judgement? This is Biasness. She doesn't have data to support her claims.
4. The decision to cut any of those programs will based on:

The Data Used.
Collection Process (Tools).
Dimensions it underwent.
Roles and Responsibilities
The Objective, Goal of the organization and the Impact each has made during years of execution.

Therefore, we cannot follow Dora's decision without Monitoring and Evaluation.

GOOD AND NICE DORA

DDans ce cas je pense que Dora ne devrait pas décider de sa propre gré mais devrait se baser sur des leçons apprises des projets antérieurs afin de prendre des décisions

Dora should assess the overall impact and effectiveness of each program based on the NGO's mission and the needs of the women they serve. Measurable outcomes in evaluating the success and impact of each program in terms of women gaining employment and improving their economic situations.

Dora's personal experience is valuable, basing the decision on the broader impact and alignment with the organization's goals ensures a more strategic and objective approach. It might involve difficult choices, but prioritizing the program that maximizes positive outcomes for the women they serve will be in the best interest of the NGO's mission.

Get to know the most driving component in the project that will achieve fair results with the other component removed

Dora should make a research/survey to find out which of her organizations programs has been more beneficial to the community and the remove the less beneficial while strengthening the most impactful

A decisão de Dora não deve ser baseada apenas em sua intuição pessoal ou em sua própria experiência, mas sim em uma avaliação cuidadosa dos programas e de seu impacto potencial nas mulheres atendidas pela ONG. Aqui estão alguns pontos que Dora deve considerar ao tomar sua decisão:

Impacto e Efetividade dos Programas: Dora deve analisar o impacto e a eficácia de cada programa em ajudar as mulheres a conseguir empregos. Ela deve revisar dados e feedbacks sobre o número de mulheres que participaram de cada programa, suas taxas de empregabilidade após a conclusão e quaisquer outras métricas relevantes de sucesso.

Necessidades da Comunidade: Dora deve considerar as necessidades específicas das mulheres atendidas pela ONG e da comunidade em geral. Ela deve avaliar se há uma demanda maior por habilidades tecnológicas ou habilidades de redação profissional em comparação com mentoria.

Potencial de Sustentabilidade: Dora deve avaliar o potencial de sustentabilidade de cada programa. Ela deve considerar se algum dos programas pode gerar receita própria no futuro, por meio de parcerias, taxas de matrícula ou outras fontes de financiamento.

Acesso e Oportunidades: Dora deve refletir sobre o acesso e as oportunidades que cada programa oferece às mulheres de baixa renda. Ela deve considerar se algum dos programas é mais acessível ou se oferece oportunidades únicas que não estão disponíveis em outros lugares.

Considerando esses pontos, Dora pode tomar uma decisão informada sobre qual programa cortar. Se ela descobrir que o programa de mentoria tem um impacto significativo e é altamente valorizado pelas mulheres atendidas pela ONG, pode valer a pena explorar outras maneiras de financiá-lo, como buscar financiamento externo ou parcerias com empresas locais. No entanto, se os programas de habilidades tecnológicas ou de redação profissional oferecerem uma oportunidade única e necessária para as mulheres melhorarem suas perspectivas de emprego, pode ser mais prudente manter esses programas e buscar maneiras alternativas de reduzir custos em outras áreas da organização.

Com base nos dados apresentados pela equipe de M&A, podemos fazer algumas análises para ajudar Dora e sua equipe a tomar uma decisão informada:

Impacto dos Programas:

O programa de habilidades tecnológicas parece ser o mais impactante em termos de eficácia na colocação no emprego, com uma taxa de 15% dos participantes conseguindo um novo emprego após 6 meses. Isso sugere que as habilidades tecnológicas estão em alta demanda no mercado de trabalho.
Em seguida, o programa de habilidades de escrita tem uma taxa de colocação no emprego de 13%, enquanto o programa de mentoria tem uma taxa de apenas 8%. Isso indica que, apesar de serem bem avaliados pelos participantes, os programas de habilidades de escrita e tecnológicas têm um impacto maior na obtenção de emprego.
Avaliação dos Participantes:

Embora o programa de mentoria seja altamente avaliado pelos participantes, com uma avaliação média de 8.4, os programas de habilidades tecnológicas e de escrita também têm avaliações decentes, com médias de 7.3 e 6.9, respectivamente. Isso sugere que todos os programas são percebidos como úteis e valiosos pelos participantes.
Custo dos Programas:

Em termos de custo, o programa de mentoria é o mais caro, custando US$ 45 por participante por ano. Os programas de habilidades tecnológicas e de escrita são mais econômicos, custando US$ 23 e US$ 31 por participante por ano, respectivamente.
Com base nessas análises, Dora e sua equipe podem considerar várias opções:

Manter o programa de habilidades tecnológicas devido ao seu alto impacto na colocação no emprego e custo mais baixo em comparação com a mentoria.
Reduzir os custos do programa de mentoria, talvez buscando formas de otimizar seus recursos ou buscar financiamento adicional para mantê-lo.
Reavaliar o programa de habilidades de escrita para determinar se há maneiras de aumentar sua eficácia na colocação no emprego ou reduzir seus custos.
Essa análise baseada em dados permite que Dora e sua equipe tomem uma decisão mais objetiva e fundamentada sobre qual programa cortar, levando em consideração não apenas o custo, mas também o impacto e a eficácia de cada programa na vida das mulheres atendidas pela organização

Dora should collect data on the need for the available training and the number of those to be affected. Dora should also check on the % of funding that each project takes up and decide accordingly.

Dora needs to collect data from the participants without any bias or assumption to reach her decision.

Dora needs to collect data from the participants without any bias or assumption to reach her decision.

Dora needs to collect data from the participants without any bias or assumption to reach her decision.

Dora should see the impact of all the programs with the data collected during monitoring and evaluation. She should prioritise the program that has had maximum benefits and this should come from data

As Dora considers which programs to cut due to reduced funding, it's important for her to take a strategic approach that aligns with the mission and impact of her NGO. Here are some considerations to help guide her decision:

Impact and Effectiveness: Evaluate the impact and effectiveness of each program in achieving the organization's goals. Consider factors such as the number of women served, the outcomes achieved, and the long-term benefits for participants.

Target Population: Assess the needs and preferences of the target population served by each program. Determine which program is most essential for addressing the specific challenges and barriers faced by women from low-income communities in securing employment.

Cost-Benefit Analysis: Conduct a cost-benefit analysis for each program to determine the return on investment and cost-effectiveness. Compare the costs associated with running each program against the tangible outcomes and benefits delivered to participants.

Long-Term Sustainability: Consider the long-term sustainability of each program, taking into account factors such as scalability, potential for replication, and alignment with funding priorities and donor interests.

Strategic Partnerships: Explore opportunities for strategic partnerships or collaborations that may help sustain or enhance the impact of the programs. Leveraging partnerships with other organizations or businesses can help optimize resources and broaden the reach of the NGO's services.

Organizational Values and Priorities: Reflect on the core values and priorities of the organization, as well as its broader mission and vision. Choose programs that are most aligned with these values and priorities, ensuring that the organization stays true to its mission while adapting to changing circumstances.

I think Dora introduced a bias into her decision-making and forgot to take the ethical principle into account. on the other hand, it should carry out a study to find out which program has much more impact on the economic growth of its beneficiaries

I am Hassan. In my opinion, Dora praises mentorship, given she might need to take into account the eventual retention of the mentorship program as opposed to professional writing and technology class. On the contrary, only an analysis-based approach will be a solution. Data assessment should be able to confirm that the program was effective. Also, the participants saw an outcome and the community was affected as a result of the program, should be guide decision when undertaking an evaluation seeing as they are basing their decisions on how the program worked, outcomes of the participant and the impact in the community. While personal stories shape people's minds, it is important to keep facts prevailing since appropriate support system can be provided only on the basis of findings. Dora needs to measure programs' fixation's aspects, evaluate their impact and on that basis make her decisions according to the NGO's mission and the needs of its beneficiaries, consequently, bringing strategic decision-making to it.

Dora needs to collect data from the participants without any bias or assumption to reach her decision.

While Dora's personal experience is valuable, basing the decision solely on intuition might not be optimal. Data on job placement rates for graduates of each program is crucial. The program with the lowest success rate in securing jobs should likely be cut. Analyzing data ensures the organization focuses on what truly empowers these women.

She was very wrong because she used his own experience instead of using the all data she has.
She could collect data in the company about the courses which has make other women successful

Making a decision on intuition is by no means the best approach in this scenario.
I think that Dora must take stock of the past situation of the programs, i.e. the number of people who have benefited from each type of program and to what extent these same trained people had access to employment.
Presenting this data will provide a clear view and inform informed decision-making supported by evidence through data.

Dora is making decision based on her own personal experience that might not be same for the people whom she is working for and working with. So she should consider trends and requirements and compare them in situation of budget cut.

Lorsqu'elle doit décider quel programme de formation professionnelle supprimer en raison d'un financement réduit, Dora devrait aborder la situation avec une analyse complète plutôt que de se fier uniquement à son intuition. Voici les étapes qu'elle peut suivre pour prendre une décision éclairée : 1. Évaluer l'impact du programme : Évaluez l'efficacité et l'impact de chaque programme. Tenez compte de facteurs tels que les taux de placement, le développement des compétences et les commentaires des participants. Les programmes qui ont régulièrement donné des résultats positifs et contribué directement à aider les femmes issues de communautés à faible revenu à trouver un emploi devraient être prioritaires.

Lived experience is valuable; however, in this case, Dora should look at the evidence before making a decision on which portfolio to cut. For example, she should look at the effectiveness of the mentorship programme and other components and decide which ones to keep.

As Dora evaluates which programs to cut due to reduced funding, she should prioritize the impact and effectiveness of each program in achieving the NGO's mission. While her personal experience with mentorship is valuable, she must consider the overall benefit to the women served by the NGO.

Firstly, Dora should gather data on the outcomes and effectiveness of each program. This includes metrics such as job placement rates, skill acquisition, and participant feedback. Programs that demonstrate tangible results and positive impact should be prioritized for retention.

Secondly, Dora should assess the unique value proposition of each program. The mentorship program may provide invaluable personalized guidance and support, but the professional writing and technology classes could offer essential skills directly applicable to job opportunities in today's workforce.

Lastly, Dora should consider the long-term implications of cutting each program. While the mentorship program may have a profound effect on individual participants, the professional writing and technology classes may contribute to broader skill development and employability for a larger group of women.

Ultimately, Dora should make a decision based on a balanced assessment of impact, effectiveness, and long-term benefits to the women served by the NGO. This may involve difficult choices, but prioritizing the sustainability and overall mission of the organization is paramount. Consulting with stakeholders and seeking input from program participants can also provide valuable insights in making this decision.

Dora should prioritize the mentorship program over the technology or writing class. Given her own experience and the proven impact of mentorship on personal and professional growth, it holds significant value for the women her NGO serves. Cutting the mentorship program could potentially deprive these women of crucial support and guidance, hindering their ability to secure employment and improve their lives. While the technology and writing classes are valuable, they may be more readily available elsewhere compared to the unique benefits offered by the mentorship program.

In facing reduced funding, Dora must make a tough decision about which professional education programs to cut. While her personal success story inclines her towards preserving the mentorship program, it's crucial for her to objectively assess each program's impact on her NGO's mission. Dora should consider factors such as the demand for specific skills in the job market, the success rate of each program in securing employment for participants, and possibly seek feedback from past beneficiaries. This data-driven approach will help ensure that her decision aligns with both the NGO's goals and the needs of the women it serves.

Dora's Decision involves a challenging scenario where she must choose which program to cut to maximize impact for the women she serves. This decision-making process may require the application of ethical and legal considerations to ensure justice in resolving the case. The Decision Observation, Recording, and Analysis (DORA) framework could provide insights into effective problem-solving processes in such situations. Furthermore, DORA is also mentioned in the context of regulatory frameworks, such as the Digital Operational Resilience Act (DORA), which aims to redefine cybersecurity and supply risk management, particularly in the financial sector.

Dora is to interview women who have benefited from these programmes to find out which has had the greatest impact on their employability.

Good reflexion