Mobile Data Collection Using ODK and KoboToolbox Training Course

Duration 10 days 20 modules · 65 contact hours
Level Intermediate Certificate on completion
Who attends Monitoring and Evaluation Officers, Programme Officers and others
Fee from USD 2,200 KSh 190,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 16 Nov 2026 Course code SD-ME-147

Before you join: Participants should understand basic survey or monitoring concepts, including questions, indicators, respondents and data confidentiality.

Dates & prices

Two start dates a month in every city, and live online on weekdays or weekends. Fees are per participant; classroom fees include tuition, materials, lunch and refreshments, and the certificate.

Suggest a date or city

Showing the next six months. Later dates, other cities and private deliveries for your team are available on request.

Course overview

Development and humanitarian programmes depend on timely, credible field data for needs assessments, beneficiary registration, service monitoring, post-distribution monitoring and outcome measurement. Paper forms, uncontrolled spreadsheets and poorly designed mobile questionnaires create avoidable delays, duplicate records, incomplete submissions and weak audit trails. Teams need forms that field staff can use offline, supervisors can monitor remotely and analysts can export without extensive data cleaning.

This course teaches participants to design, build, test, deploy and manage mobile data collection systems using ODK and KoboToolbox. Participants translate indicators and operational questions into structured XLSForms, configure validation rules, skip logic, repeat groups, calculations, GPS capture and media questions. They work with KoboToolbox projects, KoboCollect and web forms; manage user access; monitor submissions; export datasets; and apply practical controls for data quality, informed consent, privacy and field security.

Instruction combines short technical briefings with guided builds, humanitarian and development cases, peer reviews, troubleshooting scenarios and application planning. Cases include rapid needs assessments, health outreach monitoring, cash-assistance verification and post-distribution monitoring. Participants progressively build a mobile form and associated fieldwork materials, then complete a capstone project covering form design, deployment settings, data-quality checks and a field implementation plan. They leave with reusable templates and a tested form structure suited to their own programme context.

The course is suited to M&E personnel, programme teams, research staff, information-management specialists and field coordinators who already work with surveys, indicators or programme data and need practical control over digital field data collection.

What you will be able to do

  • Design mobile data collection workflows for monitoring, assessment and registration activities
  • Build XLSForms with validated questions, skip logic, calculations and repeat groups
  • Configure KoboToolbox projects, user permissions and offline collection settings
  • Deploy forms through KoboCollect and KoboToolbox web forms
  • Apply informed-consent, privacy and data-protection controls to field questionnaires
  • Monitor submissions and identify data-quality issues using KoboToolbox reporting views
  • Export and prepare KoboToolbox datasets for analysis in Excel, CSV and statistical software
  • Produce a tested mobile data collection package and field implementation plan

Benefits of attending

For you

  • Ability to build deployable KoboToolbox forms without external developers
  • Practical XLSForm skills applicable to ODK-compatible platforms
  • Stronger control of validation, skip logic and enumerator workflows
  • Reusable methods for protecting respondent data during digital collection
  • A tested form portfolio item for M&E and information-management roles

For your organisation

  • Faster field-data availability for programme decisions and donor reporting
  • Reduced transcription errors compared with paper questionnaire processes
  • More consistent validation rules across enumerators and data-collection sites
  • Improved traceability of submissions, corrections and fieldwork progress
  • Reusable form templates for assessments, monitoring visits and beneficiary feedback

Course modules

20 modules over 10 days

Participants can map a mobile data collection workflow from programme question to usable dataset.

  • Mobile collection workflow from indicator definition through cleaned dataset delivery
  • Paper, web and Android collection channels compared against field constraints
  • Roles of form designer, enumerator, supervisor, data manager and analyst
  • Needs assessments, monitoring visits and registration workflows using mobile forms
  • Data lifecycle mapping from respondent consent through retention and deletion
  • Operational risks: connectivity, device loss, duplicate submissions and respondent safeguarding

Participants can explain how ODK-compatible forms, clients and servers work together.

  • ODK ecosystem components: XLSForm, ODK Collect, servers and data exports
  • KoboToolbox project structure, deployment states and submission storage
  • KoboCollect Android client configuration and offline submission behaviour
  • Enketo web forms for browser-based data collection and review
  • KoboToolbox and ODK Central differences in administration and deployment
  • Selecting collection channels according to devices, connectivity and respondent access

Participants can convert information needs into concise, field-ready questionnaire structures.

  • Results frameworks translated into measurable questions and response options
  • Question wording that reduces ambiguity, recall error and interviewer influence
  • Response scales aligned with indicators, reporting periods and decision thresholds
  • Question sequencing for rapport, sensitivity, respondent burden and interview flow
  • Sensitive questions designed with refusal options and safeguarding escalation routes
  • Enumerator instructions separated from respondent-facing question text and labels

Participants can create a valid XLSForm workbook with core survey, choices and settings sheets.

  • Survey, choices and settings worksheets within the XLSForm specification
  • Question names, labels, hints and required fields correctly defined
  • Form identifiers, versioning and default language settings configured
  • Question types selected for text, integer, decimal, date and select responses
  • Choice lists structured with stable codes and human-readable labels
  • XLSForm validation using KoboToolbox upload messages and form previews

Participants can build and preview a basic KoboToolbox form using the form builder and XLSForm.

  • KoboToolbox form builder for rapid creation of standard question types
  • XLSForm upload for controlled editing and repeatable form versioning
  • Text, numeric, date, time and select questions configured accurately
  • Required responses balanced against legitimate skips and non-response options
  • Field labels, hints and appearance settings improved for enumerator use
  • Previewing forms through browser and Android-compatible rendering modes

Participants can configure validation rules that prevent common field-data errors.

  • Constraint expressions enforce valid ranges, dates and logical numeric values
  • Constraint messages explain corrections clearly to enumerators during interviews
  • Required fields applied selectively to protect data quality and respondent choice
  • Regular expressions validate phone numbers, codes and identifier formats
  • Plausibility checks compare household size, age, dates and quantities
  • Testing invalid entries against expected error messages before deployment

Participants can build conditional paths that show only relevant questions.

  • Relevant expressions control question display from prior response conditions
  • Skip patterns designed from decision trees before form configuration
  • Boolean operators and comparison expressions used in conditional logic
  • Select-one and select-multiple values referenced correctly within relevance expressions
  • Hidden questions avoided when responses remain necessary for later calculations
  • Logic paths tested for eligible, ineligible, refused and incomplete cases

Participants can model household, service and activity records using groups and repeats.

  • Question groups organise long forms into readable fieldwork sections
  • Repeat groups capture multiple household members, visits or services
  • Repeat counts set from earlier numeric answers where appropriate
  • Nested repeats assessed carefully to avoid difficult enumerator workflows
  • Household rosters designed with unique member identifiers and relationships
  • Repeat data exported as linked tables for later analysis

Participants can create calculated fields for scoring, totals and operational checks.

  • Calculate questions derive values without displaying unnecessary respondent-facing fields
  • Arithmetic expressions produce totals, ratios, ages and score values
  • if() statements assign categories from eligibility and vulnerability criteria
  • Today(), now() and metadata fields record interview timing automatically
  • Relevant calculations reviewed when source questions are skipped or changed
  • Derived variables documented for analysts, supervisors and reporting teams

Participants can configure appropriate location, media and metadata fields for field verification.

  • GPS questions capture coordinates, accuracy, altitude and collection timestamp
  • Geopoint accuracy thresholds considered before accepting field location records
  • Photo, audio and file questions assessed against consent and protection requirements
  • Start, end, username and device identifiers captured through metadata fields
  • Barcode questions support asset, household and distribution-item identification
  • Media storage requirements planned before deploying bandwidth-intensive questionnaires

Participants can prepare multilingual forms that support clear and respectful respondent communication.

  • Multiple language columns added for labels, hints and constraint messages
  • Language codes and form titles configured through XLSForm settings
  • Translations reviewed for meaning, terminology, literacy level and cultural sensitivity
  • Enumerator languages distinguished from respondent languages within multilingual questionnaires
  • Audio prompts and images assessed for low-literacy collection contexts
  • Language switching tested across web forms and Android collection devices

Participants can embed ethical data collection and practical data-protection controls into forms.

  • Informed-consent scripts cover purpose, voluntary participation, risks and withdrawal
  • Data minimisation removes unnecessary personally identifiable information from forms
  • Purpose limitation links each requested data field to a defined use
  • Sensitive data classifications guide access restrictions, retention and disclosure controls
  • OCHA Data Responsibility Guidelines applied to humanitarian data-collection decisions
  • Referral information and safeguarding procedures included for sensitive respondent disclosures

Participants can create and administer KoboToolbox projects with controlled access and deployment settings.

  • KoboToolbox projects organised by programme, geography, survey round and version
  • Draft, deployed and archived form states managed through release controls
  • User permissions assigned for collection, review, export and administration tasks
  • Project sharing decisions documented using minimum-access role assignments
  • Form updates managed without losing interpretation of earlier submissions
  • Asset naming conventions support retrieval, audit trails and portfolio maintenance

Participants can prepare Android devices and enumerators for reliable offline data collection.

  • KoboCollect connected to KoboToolbox through QR code configuration
  • Blank forms downloaded, updated and removed using controlled device procedures
  • Offline interviews completed with validation, repeats, GPS and media capture
  • Saved drafts managed when interviews are interrupted or respondent consent changes
  • Submission queues checked before connectivity windows and device handover
  • Android device readiness covers battery, storage, permissions and date settings

Participants can run structured form tests and document fixes before field deployment.

  • Desk testing checks question text, labels, defaults and response options
  • Logic testing traces every skip path and repeat condition
  • Boundary testing challenges constraints using minimum, maximum and invalid values
  • User acceptance testing records enumerator feedback on usability and timing
  • Test submissions distinguished from production records through controlled procedures
  • Issue logs record defect, severity, owner, correction and retest status

Participants can prepare practical fieldwork procedures for enumerators and supervisors.

  • Enumerator briefing plans cover consent, devices, interview protocol and escalation
  • Sample lists and respondent identifiers prepared without unnecessary exposure
  • Daily submission targets aligned with geography, travel time and interview duration
  • Supervisor checklists cover device readiness, consent quality and interview observations
  • Helpdesk escalation routes defined for technical, safeguarding and security incidents
  • Fieldwork communication protocols set reporting times, channels and responsibilities

Participants can monitor live submissions and apply targeted data-quality review procedures.

  • KoboToolbox table and report views used for submission monitoring
  • Daily completeness checks identify missing fields, duplicates and late submissions
  • Enumerator-level patterns reviewed for duration, location and response anomalies
  • Spot checks compare submitted records against supervisor verification evidence
  • Correction procedures preserve original records and document authorised changes
  • Data-quality dashboards define thresholds, escalation actions and review frequency

Participants can export KoboToolbox data and prepare files for analysis and reporting.

  • CSV and XLSX exports selected according to analysis and reporting needs
  • Repeat-group exports linked through parent identifiers and submission keys
  • Choice codes, labels and metadata interpreted correctly during data preparation
  • Data dictionaries document variable names, labels, types and permitted values
  • Cleaning logs record recodes, exclusions, corrections and unresolved anomalies
  • Exports prepared for Excel, Power BI, R, SPSS and Stata workflows

Participants can establish sustainable governance for recurring mobile data collection activities.

  • Standard operating procedures define form ownership, review and approval steps
  • Version-control registers track changes to questions, logic and calculation rules
  • Retention schedules specify archival, deletion and secure access review dates
  • Device management procedures cover allocation, loss reporting and account removal
  • Post-collection reviews capture lessons from enumerators, supervisors and analysts
  • Implementation plans sequence design, testing, training, deployment and closeout

Participants can build, review and present a complete mobile data collection package for a defined programme use case.

  • Programme question translated into indicators, respondent groups and collection workflow
  • XLSForm built with validation, relevance, calculations, repeats and metadata
  • Consent language and data-protection controls incorporated into the deployed form
  • KoboToolbox project configured with permissions, deployment and collection settings
  • Test results documented through issue logs, corrections and acceptance criteria
  • Field implementation plan presented with supervision, quality checks and exports

Exercises and examples are adapted to each cohort's sectors and roles.

What you take back to work

  1. XLSForm questionnaire template
  2. Mobile data collection workflow map
  3. Form testing and issue-log template
  4. Enumerator and supervisor fieldwork checklist
  5. Data-quality monitoring plan
  6. Mobile data collection implementation plan

Who should attend

  • Monitoring and Evaluation Officers — need reliable systems for indicator and survey data
  • Programme Officers — need to collect operational evidence without paper-based processes
  • Field Coordinators — need to manage enumerators, submissions and fieldwork quality
  • Information Management Officers — need structured datasets from distributed data collection
  • Research Assistants — need to build and test digital questionnaires for field studies
  • Humanitarian Assessment Staff — need rapid, offline-capable tools for needs assessments

Skills and tools covered

XLSForm designKoboToolbox administrationOffline data collectionSurvey logic configurationField data qualityData protection controls

Tools and standards

KoboToolbox, ODK Collect, XLSForm, OCHA Data Responsibility Guidelines

How the course runs

Training methodology

The course uses short instructor briefings followed by guided configuration in KoboToolbox, XLSForm editing and structured troubleshooting. Participants work through development and humanitarian cases, including needs assessment, beneficiary monitoring and service-delivery follow-up. Group reviews examine question wording, logic failures, consent procedures and data-quality risks. Simulated fieldwork tests offline completion, submission handling and supervisor review. Each participant adapts course materials to an active or planned data-collection requirement and receives peer and instructor feedback.

Requirements and prerequisites

Participants should understand basic survey or monitoring concepts, including questions, indicators, respondents and data confidentiality. Experience using spreadsheets, particularly Excel or Google Sheets, is expected because forms are built and reviewed in tabular XLSForm format. Familiarity with development, humanitarian, public-health or research data collection is helpful but not essential. No programming, database administration, GIS expertise or previous ODK or KoboToolbox experience is required. Participants should be prepared to work with a laptop and an Android device or Android emulator during the course.

A typical training day

08:30 – 10:30First session
10:30 – 10:45Refreshment break
10:45 – 12:30Second session
12:30 – 13:30Lunch and networking
13:30 – 15:00Third session
15:00 – 15:15Refreshment break
15:15 – 16:30Workshop and daily review

Live online deliveries follow the same structure in East Africa Time, with shorter screen blocks and longer breaks.

What the fee includes

  • Instruction by a practitioner facilitator
  • Full course workbook and materials
  • Exercise files, templates and case studies
  • Refreshments and lunch on classroom deliveries
  • Certificate of completion
  • Post-course application plan

Frequently asked questions

Participants should understand basic surveys, indicators or programme data and be comfortable using spreadsheets. Previous experience with ODK, KoboToolbox, coding or database administration is not required.

Participants should bring a laptop with spreadsheet software and, where possible, an Android phone or tablet. Access instructions and any required course files are provided before the course.

It is designed for M&E officers, programme staff, field coordinators, researchers and information-management personnel. It is particularly relevant to staff responsible for assessments, registrations, monitoring visits or beneficiary feedback.

This course focuses on configuring and operating mobile data collection systems using ODK and KoboToolbox. It addresses questionnaire design where needed, but places greater emphasis on XLSForm, deployment, offline collection, data quality and fieldwork controls.

Participants can adapt an active or planned questionnaire into a mobile form during the course. The resulting form structure, test plan and implementation materials can be refined with programme colleagues after training.

The first part builds core form-design and KoboToolbox configuration skills, with participants creating working forms early in the course. The later modules cover testing, field operations, data quality, exports and a capstone mobile data collection package.

Questions about this course?

Ask about dates, fees, group bookings or running it for your team. Our training team replies by email.