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Msf Project Management Bridget Steffen


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Msf Project Management Bridget Steffen

  1. 1. PROJECT MANAGEMENT Assessment, Analysis & Planning in emergencies Bridget Steffen DHA 2009
  2. 2. Learning Outcomes <ul><li>Programme management </li></ul><ul><li>describe the key elements of a relief programme apply the planning cycle and the systems model when planning a relief operation. </li></ul><ul><li>Project proposals, reports, Fundraising </li></ul><ul><li>describe the elements involved in writing a project proposal </li></ul><ul><li>explain the principles involved in the use of ‘logframes’ </li></ul><ul><li>Human resources: </li></ul><ul><li>discuss the main problems of human resources in relief operations. </li></ul>
  3. 3. Project Cycle Approach Emergency Implementation Planning Monitoring & evaluation Assessment & Analysis
  4. 5. Assessment
  5. 6. Assessment Process <ul><li>What does it do? </li></ul><ul><li>Assessment process/objectives </li></ul><ul><li>ASK YOURSELF </li></ul><ul><li>Types/sources of data </li></ul><ul><li>Assessment challenges </li></ul><ul><li>Half of the whole is better than the whole of half </li></ul>
  6. 7. Assessment Tools/Methods <ul><li>Existing Reports; Statistical Surveys; Maps; other agencies </li></ul><ul><li>Satellite </li></ul><ul><li>Plane </li></ul><ul><li>Drive-by </li></ul><ul><li>Walk-through </li></ul><ul><li>Interviews </li></ul><ul><li>Group discussions & participatory methods (Participatory Rap Assessment) </li></ul><ul><li>Media </li></ul>
  7. 8. Analysis <ul><li>  </li></ul><ul><li>D ata Analys is & Context Information </li></ul><ul><li>  </li></ul><ul><li>  </li></ul>
  8. 9. Some analytical tools <ul><li>Statistical analsysis </li></ul><ul><li>Gap analysis: ‘WWW’ </li></ul><ul><li>Vulnerability/Capacity Analysis </li></ul><ul><li>Gender Analysis </li></ul><ul><li>Demographic analysis </li></ul><ul><li>Technical and sectoral analysis </li></ul><ul><li>Problem analysis </li></ul><ul><li>Epidemiological analysis </li></ul><ul><li>SWOT analysis </li></ul><ul><li>Stakeholder analysis </li></ul><ul><li>Do No Harm analysis </li></ul>
  9. 10. Statistical analysis using graphs
  10. 11. Gap Analysis: 3Ws Who is doing What Where Oxfam WVI MSF Health X Protection Nutrition x X Watsan x x Camp A Camp B Host Shelter UNHCR UNHCR Government Health MSF MSF MSF NFIs Save the Children Save the Children
  11. 12. <ul><li>Physical / Material </li></ul><ul><li>Social / Organizational </li></ul><ul><li>Motivational / Attitudinal </li></ul>Vulnerabilities and Capacities Analysis Vulnerabilities Capacities
  12. 13. Actual needs Needs assessed by ‘experts’ Demands expresed Responses possible
  13. 14. The problem of bias: e.g. speciality or mandate bias InterWorks/UNHCR “ When you’ve a hammer in your hand, all problems look like nails that need hammering”. Broader context What other types of bias can you think of? Mandate or speciality of the organisation Humanitarian needs Resources available A PRIORI
  14. 15. Gender analysis <ul><li>Activity profile what work women and men actually do (gender division of labour – roles and responsibilities) </li></ul><ul><li>Access and control profile what access/control women and men have to productive resources and who benefits from the ir use </li></ul><ul><li>Analysis of factors and trends that influence the gender division of labour, gender relations, and access and control over resources </li></ul><ul><li>Programme cycle analysis applying all the above data to all stages of the programme cycle </li></ul>
  15. 16. Red Cross / Red Crescent Protection Framework (adapted from ‘do no harm’ framework 1. Analyse the historical and current context Threats Vulnerable Groups Source of Protection Your Organization Your Programmes Your Relationships the environment the vulnerable population others 2. Describe your activities 3. What are your effects on… Are there any harmful effects, protection gaps or missed opportunities? 4. How can you improve? Your Organization Your Programmes Your Relationships
  16. 17. SWOT Analysis Objective Tondon refugees receive sufficient food support <ul><li>Strengths (internal) </li></ul><ul><li>Used to local area </li></ul><ul><li>Strong links with UNHCR </li></ul><ul><li>Food reserves available to sell </li></ul><ul><li>Weaknesses (internal) </li></ul><ul><li>Christian organisation </li></ul><ul><li>Lack of skilled staff </li></ul><ul><li>Opportunities (external) </li></ul><ul><li>UNHCR base in area </li></ul><ul><li>Strong international response that wants to buy food </li></ul><ul><li>Partnership with UNHCR </li></ul><ul><li>Sell food to NGOs </li></ul>Request training from INGOs Partner with Muslim orgs <ul><li>Threats (external) </li></ul><ul><li>Insecure environment </li></ul><ul><li>Donor fatigue </li></ul><ul><li>Get funding from UNHCR </li></ul><ul><li>Promote our work within communities </li></ul>
  17. 18. Stakeholder Analysis High Importance Low Importance High Influence Low Influence
  18. 19. Flooding of inhabited areas Severe floods Living on floodplain Poor dam operation Tropical storms Deforestation Global Warming? Loss of wetlands Popn. Pressure Poverty Low yields Lack of good land Disease Disempowerment No alternative employment Food-stocks destroyed Crops destroyed Livestock killed People displaced Homes destroyed Possessions swept away Transport infrastructure destroyed Social infrastructure destroyed Immediate Hunger Further Death Deaths of family members Loss of livelihoods Disease No access to markets Food insecurity Fisheries ruined Lack of warning Lack of shelter Problem tree
  19. 20. Problem / objective analysis High risk of spread of watsan-related diseases Problem People consume unsafe water People fetch water from unprotected sources Objective Low risk of spread of watsan-related diseases People have access to clean water People fetch water from protected water points
  20. 21. Planning <ul><li>Logframes </li></ul><ul><li>Activity Plans, Gantt Charts </li></ul><ul><li>Budgets </li></ul><ul><li>Proposals </li></ul>
  21. 22. Logical framework analysis Inputs/Resources/budget Narrative summary of objectives Objectively verifiable INDICATORS Means of verification Key assumptions Goal           Objective (2 or 3)           Outputs/Results           Activities                 Preconditions    
  22. 23. Logframe terminology <ul><li>Goal - the overall issue that the project will contribute towards, but not solve alone </li></ul><ul><li>Objective – what your project will achieve – the direct benefit of our intervention on the population </li></ul><ul><li>Result – tangible products/services delivered by the project (eg schools built, water pipeline constructed, food distributed </li></ul><ul><li>Activities – how to reach/produce results materials procured, partnerships set up, trainings delivered </li></ul><ul><li>Assumptions : risks that could influence/impact the project </li></ul>
  23. 24. Indicators <ul><li>Measures each of the stages in terms of quality, quantity, time… </li></ul><ul><li>S </li></ul><ul><li>M </li></ul><ul><li>A </li></ul><ul><li>R </li></ul><ul><li>T </li></ul><ul><li>not just output… </li></ul><ul><li>Number of materials distributed </li></ul><ul><li>number of toilets built </li></ul><ul><li>… but impact </li></ul><ul><li>Change in proportion of people of people undertaking hygienic practices </li></ul><ul><li>Reduction in number of cholera cases </li></ul><ul><li>Number of new toilets being correctly used and maintained </li></ul>
  24. 25. Gantt Chart <ul><li>useful way of showing planned activities and durations against a timeline </li></ul>
  25. 26. Budget <ul><li>‘ plan of action’ of resources required </li></ul>
  26. 27. Implementation, Monitoring, Evaluation
  27. 28. Funding sources <ul><li>Private donors/individuals </li></ul><ul><li>Business donors </li></ul><ul><li>Institutional donors (USAID, DFID, ECHO, EC etc </li></ul><ul><li>UN agencies </li></ul><ul><li>Churches, mosques etc </li></ul><ul><li>Look for the strings attached! </li></ul>
  28. 29. Proposal Format
  29. 30. <ul><li> / </li></ul><ul><li> </li></ul><ul><li> </li></ul><ul><li> </li></ul><ul><li> </li></ul><ul><li> </li></ul><ul><li> / </li></ul><ul><li>Better Programming Initiative (BPI) </li></ul>
  30. 31. Tools can be the blessing or the bane of our work