My Communities

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