My Communities

Dora really needs to look back into the organization's reason for existing and then look at data about which programs are providing the most results to that core mission.

Dora should continue with mentorship program that connects women to successful female entrepreneurs.

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 skill.

if I were Dora I would cut off the mentorship program. why?
this is simply because teaching professional writing and technology skills is way more important than meeting a mentor. plus what worked for Dora does not mean it would work for everyone.
teaching those women writing and tech skills could mean even getting jobs or later meeting these mentors because of their prowess.

Dora could also consider having a survey conducted or an interview to see which of these programs help the women more

Dora should cut the mentorship program. The writing and technology skills classes are quite important and should be continued at all cost.

Dora could use her data of program to make fine decision on her work

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 as to see which program is more likely to fail or with lass chances to succed. She as to see if the activities are meeting the targets or not and remove the project that is more far from the original objectives and indicators.

Dora has to use additional decision making supporter tools.

Dora has to use additional decision making supporter tools.
A mentorship program that connects women to successful female entrepreneurs programs should be cut

Dora has to use additional decision making supporter tools.
A mentorship program that connects women to successful female entrepreneurs programs should be cut

Dora should review the progress of both programs. Which of them delivers least and most? This would help her make an informed decision on which program will be cut off.

i also support dora's decision on holding to the mentorship aspect of the program. there is no success without tutoring or mentorship, and secondly i will suggest that she continues with technological skill training and let go of the writing skill pending when she has more funding. i will also recommend that the other two aspect of the program she is holding should augment for the writing skills.

i will equally recommend that she run analysis on the three programs of her project and rate the effectiveness of the three programs. this can be done by either administering manual or digital survey responses from the participants of the project; with this result she can confidently reached a concluding decision.

The option could be data analyze and see which class is more successful and beneficiaries are interested in

She could go the one that is accessible and has shortest time to impact and that will cost less

Dora needs to go back to the database and examine the impact each of these programs has impacted to the women. She might need to sit down with some of the women that have been impacted by these programs before she go ahead with her decision to cut out any program. The data she has accumulated over the years will help her make an informed and smart decision which will ask not negatively affect those that would have been helped by the programs they have been running in her organisation

Dora needs to conduct a data collection or use existing data if any, analyse it and make an informed and smart decision.

I think Dora, has a passion for mentorship and its a story close to her heart. However, it seems like it is time to be both resilient in pursuit of passion and flexible in accepting the reality of the funding. In my organization, I work through retainers, so Dora can look into a future with high value client and explore the concepts of retainer, or charging premium fees to some clients/Donors. That way she can come up on top again.

I think Dora, has a passion for mentorship and its a story close to her heart. However, it seems like it is time to be both resilient in pursuit of passion and flexible in accepting the reality of the funding. In my organization, I work through retainers, so Dora can look into a future with high value client and explore the concepts of retainer, or charging premium fees to some clients/Donors. That way she can come up on top again.

While Dora's decision to gradually drop mentorship is informed by data, I believe there was a selective analysis of data which is not right for a decision of such magnitude. as an M&E department, the team should do better than concentrate on a simple answer.

When deciding which program to cut, Dora should consider the impact of each program on the women in the low-income communities her NGO serves. She should think about which program has the greatest potential to help these women secure jobs and improve their economic prospects.

One way to assess the impact of the different programs is to look at their outcomes and success rates. Dora should evaluate the data on the number of women who have completed each program and have gone on to secure jobs, and also the number of women who have expressed interest in each program. This information could help her determine which programs are most effective and have the greatest demand.

In addition to the data, Dora should also consider the feedback from the women who have participated in the programs. She should reach out to program participants to learn about their experiences and which programs they found most valuable. This can help her make a more informed decision and ensure that the needs and preferences of the women her NGO serves are taken into account.

While Dora's personal experience with mentorship may influence her decision, it is important to make a decision based on the impact of each program on the target population. Cutting a program that has a high success rate and meets the needs of the women in the community may have negative consequences, even if it is not personally important to Dora.

Ultimately, Dora should carefully consider all available data and feedback, and make a decision that will have the greatest positive impact on the women her NGO serves.

When deciding which program to cut, Dora should consider the impact of each program on the women in the low-income communities her NGO serves. She should think about which program has the greatest potential to help these women secure jobs and improve their economic prospects.

One way to assess the impact of the different programs is to look at their outcomes and success rates. Dora should evaluate the data on the number of women who have completed each program and have gone on to secure jobs, and also the number of women who have expressed interest in each program. This information could help her determine which programs are most effective and have the greatest demand.

In addition to the data, Dora should also consider the feedback from the women who have participated in the programs. She should reach out to program participants to learn about their experiences and which programs they found most valuable. This can help her make a more informed decision and ensure that the needs and preferences of the women her NGO serves are taken into account.

While Dora's personal experience with mentorship may influence her decision, it is important to make a decision based on the impact of each program on the target population. Cutting a program that has a high success rate and meets the needs of the women in the community may have negative consequences, even if it is not personally important to Dora.

Ultimately, Dora should carefully consider all available data and feedback, and make a decision that will have the greatest positive impact on the women her NGO serves.

Dora should evaluate which program is contributing more to the goal. She can also evaluate to find out how the programs are responding to changes in funding, either through scenario planning or looking at historical data. The one that should be cut of should be the one that has less effect and has little to no response to changes in funding

Dora should evaluate which program is contributing more to the goal. She can also evaluate to find out how the programs are responding to changes in funding, either through scenario planning or looking at historical data. The one that should be cut of should be the one that has less effect and has little to no response to changes in funding

Both programs are very relevant but, in this case, she should do cost (Capital, Material, HR) analyses in order to counting paper needed, pen, printing vs mobile and Sofware. From that will be easy to select be ideal one. Even the mini survey about the feeling from women in order to give suggestion on both options.

Both programs are very relevant but, in this case, she should do cost (Capital, Material, HR) analyses in order to counting paper needed, pen, printing vs mobile and Sofware. From that will be easy to select be ideal one. Even the mini survey about the feeling from women in order to give suggestion on both options. And finally, the impact and cost will drive for the final decision!

Both programs are very relevant but, in this case, she should do cost (Capital, Material, HR) analyses in order to count the paper needed, pen, printing vs mobile, and Sofware. From that will be easy to select be ideal one. Even the mini survey about the feeling of women in order to give suggestions on both options. And finally, the impact and cost will drive the final decision!

Even if she had a good personal experience with the mentorship program, she should not base the decision on her persona experience, because that would be a bias opinion, she needs to study the data to see what are the most successful programs based on her clients and cut the least succesful one.

I personally think that It would be a real mistake to base her choice on her sole experience. Basing her choice on the data she has on previous results achieved by each program should give more lessons on which did better and which doesn't work out very well.

Dora should look at her records from the previous years and see which provide made the most impact and continue with that, the next best and cut the program with less impact

I think Dora should find out mentorship program professional writing skills technology skills program has the most impact before making the decision. She should cut the program with the lesser impact and keep the one that helps most women get jobs.

Dora should collect data on the 3 programs and do analysis on which one is meeting the projects goals the least and cut it off

Dora should continue with the different skills she has by providing the to other women out there whom might have demand for,eg -conducting class

Since the funding will be cut this year, it is evident that the projects have been going on for quite some time. Therefore, if the M&E component of the projects was were managed and data usage for decision making was being prioritized, I would recommend that Dora use data to review the projects and see which ones were of greater impact and then decide from there.

Since the funding will be cut this year, it is evident that the projects have been going on for quite some time. Therefore, if the M&E component of the projects was properly managed and data usage for decision making was being prioritized, I would recommend that Dora use data to review the projects and see which ones were of greater impact and then decide from there.

dora is well-qualified in all types of skills and the problem is that she has no more funds so she can start teaching of her own and take responsibility to mentor them

IN my Openinon Dora should cut the writing class because techincal education is more effective in getting Job. Because getting skilled is important in getting job

Dora needs to do analysis of her/his project

Dora need to do analysis for her/his project wisely. Focus on the project

she needs to check the feedback from the beneficiaries about the programs and check which program have less contribution to the overall objectives of the NGO. Also, she can check the demand of the outcomes of each of these programs in the society .

Ultimately, the decision should align with Dora's personal aspirations, long-term goals, and the resources available to her. It may be helpful for her to weigh the importance of the mentorship program against the potential benefits of the technology or writing course. Finding a balance that supports her growth and aligns with her passions is key.

Dora, should also consider other Ngos that are doing the same things with her and consider thier data and form their data she can choose what to cut off and what to remain with, but from her experience. It is good to remain with the mentorship program.

It is observed that mentorship program plays vital role for empowering people. Professional writing skills class is useful for only writing purpose, but technology is a strong demand of time and it can be used anywhere and for any purpose of improvement and betterment. So, technology class is continued and writing class is suspended for this year.

It is observed that mentorship program plays vital role for empowering people. Professional writing skills class is useful for only writing purpose, but technology is a strong demand of time and it can be used anywhere and for any purpose of improvement and betterment. So, technology class is continued and writing class is suspended for this year.

For me Dora should cut the writing class and keep the technology one. It's is true that writing skills play also play a great role in professional life of individuals, but nowadays technology has taken over in lot workplaces. So, training people to use technology it's worthwhile.

For me Dora should cut the writing class and keep the technology one. It's is true that writing skills play also play a great role in professional life of individuals, but nowadays technology has taken over in lot workplaces. So, training people to use technology it's worthwhile.

She should run an assessment on outcomes of the 3 programs, she can give out surveys to graduands from each of the programs to find out how many of them have been able to get jobs within a specific time frame that would indicate landing the job was an outcome of the programs attended.
Then she can decide from the evaluation done which of the programs has been least productive, and could be discontinued

She should run an assessment on outcomes of the 3 programs, she can give out surveys to graduands from each of the programs to find out how many of them have been able to get jobs within a specific time frame that would indicate landing the job was an outcome of the programs attended.
Then she can decide from the evaluation done which of the programs has been least productive, and could be discontinued.

She should run an assessment on outcomes of the 3 programs, she can give out surveys to graduands from each of the programs to find out how many of them have been able to get jobs within a specific time frame that would indicate landing the job was an outcome of the programs attended.
Then she can decide from the evaluation done which of the programs has been least productive, and could be discontinued.

Both of the service that she provide is needed for these women to be more intrepreneurs so due to the shortage of money she has i think she must provide one service at time and when time goes by and she is back on her feet again regarding money she can than add another service for her female

Dora should have use the data from the enrollment figures to know which of the program is most demanding base and then decide which one should be scrapped due to low enrollment figures and not her person experience to dictate for everyone

Dora should have use the data from the enrollment figures to know which of the program is most demanding base and then decide which one should be scrapped due to low enrollment figures and not her person experience to dictate for everyone

If Dora is able to keep all three programs, that would be ideal. However, if she has to make a choice, I would recommend that she keep the mentorship program. Mentorship can be a truly transformative experience, and it can have a lasting impact on young people's lives.
If Dora does have to cut one of the programs, she could consider offering it as an elective. This would give students the opportunity to choose the program that is most relevant to their interests and needs.
Dora could also consider partnering with another organization to offer the technology or writing class. This would allow her to share resources and expertise, and it would give students access to a wider range of learning opportunities.

Dora should collect data to evaluate the effectiveness of each program. That way, the data can help inform her decision in an objective manner.

Dora should collect data to evaluate the effectiveness of each program. That way, the data can help inform her decision in an objective manner.

Dora should include her team mates in decision making , she should also get some feedback on the training conducted for low income women that which training was greatly helpful for them and which training can be eliminated.

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.