1. Multicluster Rapid Needs Assessment 10-Step Process 1.Initiation and Engagement 2.Design and Planning 3.Establishment of Coordination 4.Methods determination 5.Content development 6.Data collection 7.Data organization 8.Data analysis 9.Communication of findings 10.Termination and exit

2. 1. INITIATION AND ENGAGEMENT 1.Briefing 2.Clarifying deployment’s TOR 3.Establishing contacts 4.Clarifying assessment modalities 5.Developing the overall plan

3. 2. DESIGN AND PLANNING To be conducted jointly and with the active involvement of the IM managers 1.Specifying the purpose of assessment – Why/what for, who the clients are, what products and deliverables, when 2.Obtaining the formal buy-in – From leaders, authorities, clusters 3.Refining the assessment’s TOR 4.Planning the key actions – Data gathering plan, analysis plan, report outline 5.Establishing the basic parameters – Geographical coverage, particular crisis, sectors, timeframe 6.Aligning the sectors – Clarifying and aligning sectoral subject matters’ coverage and boundaries

4. 3. ESTABLISHMENT OF COORDINATION ARRANGEMENTS 1.Establishing coordination structure – Leadership, assessment task force, working group, etc. 2.Clarifying the collaborative arrangements with clusters/sectors 3.Identifying the support functions requirements – Data processing, IM, logistics, etc

5. 4. METHODS DETERMINATION 1.Reviewing the purpose, key actions and the expected products 2.Considering the constraints and opportunities – Buy-in, capacities, resources, security, logistics, access and logistics, deadlines 3.Identifying methods options – Consider the most suitable unit of analysis (assessment targets), sampling methods, tools / instruments, processes 4.Deciding the method

6. 5. CONTENT DEVELOPMENT 1.Reviewing the standardized indicators – Reviewing the IMTF’s Common Operational Datasets – Reviewing the Humanitarian key Indicators, 2.Identifying the sectoral indicators – Generating indicators from the basic parameters – Identifying clusters-specific indicators 3.Developing instruments/tools – Reviewing, modifying, adapting existing tools

7. 6. DATA COLLECTION 1.Collecting the baseline and secondary data 2.Executing data collection plan – Deploying assessment capacities – Ensuring data security, integrity/objectivity, quality assurance, corrective measures 3.Addressing operational issues and problems

8. 7. DATA ORGANISATION 1.Database building and management 2.Cleaning the data 3.Collating data relative to indicators 4.Consolidating the data 5.Disseminating raw data to clusters

9. 8. DATA ANALYSIS 1.Restating the hypothesis – Reviewing the Preliminary Situation Definition 2.Collating data from multiple / existing assessments 3.Conducting intra-sectoral analysis: – Assisting, facilitating and advising clusters 4.Conducting intersectoral analysis: – Relating the analysis to the PSD’s hypothesis – Reviewing the Needs Assesment Framework (NAF) – Generating “high level themes” beyond the sectors E.g. meeting basic services, addressing the vulnerabilities, resumption of essential services, resumption of governance – Identifying the gaps and prognosis – Prioritizing the identified needs and geographical areas – Identifying information gaps and needs

10. 9. COMMUNICATION OF FINDINGS 1.Establishing a process for clearing results (quality check) 2.Developing a shared communication strategy – Determining the products’ format – Identifying opportunities and sequence for releasing of the findings: transmitting raw data to clusters, presentation of preliminary findings, presentation of draft report, submission of final report – Identifying the product’s target influence: sitreps, ERC’s key messages, appeals, response/recovery plan, dashboard 3.Engaging the ongoing processes: e.g. appeal revision, dashboard population 4.Producing assessment(s) report(s)

11. 10. TERMINATION AND EXIT Dissemination of the assessment report De-briefing of the authorities, clusters – Drawing lessons learnt – Suggesting the assessment follow through – Establishing the basis for subsequent assessments