KoboToolbox for Data Collection 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 9 Nov 2026 Course code SD-ME-069

Before you join: Participants should understand basic monitoring and evaluation terms such as indicators, outputs, outcomes, disaggregation and data collection methods.

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 to track results, identify unmet needs, monitor service quality and support donor reporting. Yet many teams still use poorly structured questionnaires, inconsistent paper records or forms that cannot operate reliably offline. Weak skip logic, unclear consent procedures, duplicate submissions and delayed cleaning can undermine findings before analysis begins. KoboToolbox provides a practical platform for building mobile and web-based data collection systems, but its value depends on sound monitoring design, disciplined form construction and field-ready deployment.

This course teaches participants to design, build, test, deploy and manage KoboToolbox forms for monitoring, evaluation, assessment and accountability work. Participants translate indicators into data collection questions, create forms through the KoboToolbox Form Builder and XLSForm, configure skip logic, constraints, calculations, repeats, choice filters and multilingual labels. They learn to prepare mobile collection through KoBoCollect, manage user access, monitor submissions, clean exported datasets and apply basic quality controls to field data.

Training combines short technical briefings with realistic cases from humanitarian response, public health, livelihoods, education and community feedback programmes. Participants work with sample monitoring plans and progressively build a working KoboToolbox data collection package. The final capstone requires each participant to present a complete form, deployment plan, data quality process and reporting approach. Participants receive a certificate of completion after the 10-day instructor-led course, delivered in classrooms in 50+ cities or live online.

The course is suited to monitoring and evaluation staff, programme officers, assessment teams, enumerator supervisors and information management personnel who need to collect structured data reliably in field settings.

What you will be able to do

  • Translate indicator reference sheets into KoboToolbox questionnaire specifications
  • Build mobile and web forms using KoboToolbox Form Builder and XLSForm
  • Configure skip logic, relevance conditions, constraints, calculations and choice filters
  • Design repeat groups and roster questions for household and service-point data
  • Test forms using structured test cases and field validation protocols
  • Deploy KoboToolbox projects with appropriate user roles, permissions and collection channels
  • Clean and review exported KoboToolbox datasets using documented quality checks
  • Produce a complete KoboToolbox data collection package for a monitoring requirement

Benefits of attending

For you

  • Ability to build deployable monitoring forms without depending on external developers
  • Practical XLSForm skills for maintaining complex questionnaires efficiently
  • Stronger field supervision through submission monitoring and quality checks
  • Reusable methods for converting indicators into measurable questionnaire items
  • A completed KoboToolbox project suitable for adaptation to workplace requirements

For your organisation

  • Faster deployment of standardised monitoring and assessment questionnaires
  • Fewer data entry errors through validation rules and controlled response options
  • Improved offline collection capacity for remote and connectivity-constrained locations
  • Clearer audit trails for submissions, changes, consent and data quality reviews
  • More timely datasets for programme management, donor reporting and evaluation

Course modules

20 modules over 10 days

Participants can convert a monitoring requirement into a structured data collection specification.

  • Results chains link activities, outputs, outcomes, indicators and assumptions
  • Indicator reference sheets define numerator, denominator, disaggregation and reporting frequency
  • SMART indicator tests expose ambiguous measures before questionnaire drafting begins
  • Data collection matrices assign source, method, respondent and collection schedule
  • Enumerators distinguish monitoring data, evaluation evidence, assessments and feedback records
  • Sampling frames identify target populations, units and inclusion criteria

Participants can incorporate consent, protection and data minimisation requirements into collection plans.

  • Informed-consent scripts state purpose, risks, voluntary participation and contact details
  • Do-no-harm screening identifies foreseeable collection risks and mitigation actions
  • CHS commitments inform respectful feedback and complaint data collection
  • Data minimisation limits questions to documented monitoring or evaluation needs
  • Protection referral protocols define escalation boundaries for sensitive disclosures
  • Consent records separate participation agreement from service eligibility decisions

Participants can establish a KoboToolbox project and organise its core settings.

  • KoboToolbox account settings control profile, language and notification preferences
  • Projects organise forms, deployments, submissions and supporting documentation
  • Project naming conventions distinguish country, programme, instrument and version
  • Form Builder, XLSForm upload and cloning support different authoring workflows
  • Question libraries reduce repeated entry of standard monitoring questions
  • Project descriptions record purpose, respondents, owners and collection periods

Participants can create clear, respondent-centred KoboToolbox forms using appropriate question types.

  • Question wording separates one measurable concept from unrelated response choices
  • Single-select questions capture mutually exclusive categorical responses
  • Multiple-select questions record applicable services, needs or information sources
  • Numeric, decimal, date and text fields match expected data formats
  • Required settings distinguish essential records from optional contextual information
  • Question notes provide enumerator instructions without appearing to respondents

Participants can build and edit KoboToolbox forms through the XLSForm workbook structure.

  • Survey, choices and settings worksheets define an XLSForm package
  • Question names create stable variable identifiers for analysis datasets
  • List names connect select questions with approved response options
  • Appearance columns control presentation for select, text and note fields
  • Version numbers document approved form revisions and deployment changes
  • XLSForm syntax checks identify structural errors before server upload

Participants can configure conditional paths that show only relevant questions.

  • Relevance expressions display follow-up questions after specified responses
  • Skip paths prevent inappropriate questions for non-eligible respondents
  • Boolean operators combine eligibility criteria, service status and respondent characteristics
  • Selected functions test multiple-response answers within checkbox questions
  • Group-level relevance hides entire sections when screening criteria fail
  • Logic maps document decision paths before conditional expressions are written

Participants can prevent common entry errors using constraints, warnings and calculated fields.

  • Constraint expressions reject values outside defined operational ranges
  • Constraint messages explain corrections using clear enumerator-facing language
  • Soft warnings flag unusual values while allowing justified submissions
  • Calculated fields derive age, totals, ratios and eligibility classifications
  • Today functions compare interview dates with programme event dates
  • Regular expressions validate identifiers, telephone numbers and coded references

Participants can configure linked response lists for accurate geographic and service data.

  • Choice filters restrict district lists after selected country or region
  • Cascading selects connect administrative levels through parent-child coded values
  • External choice lists manage long lists of locations or facilities
  • Search appearance improves selection from large geographic response lists
  • Standard location codes maintain consistency across forms and reporting datasets
  • Filter testing checks every permitted and prohibited selection path

Participants can capture repeated household, participant and service records within one submission.

  • Repeat groups capture multiple household members, visits or distributed items
  • Roster questions establish repeat counts from reported household composition
  • Nested repeats distinguish facilities, sessions, participants and follow-up actions
  • Repeat labels identify records clearly during mobile data entry
  • Household identifiers link repeated records to primary respondent information
  • Repeat exports are structured for later analysis in separate data tables

Participants can prepare forms for multilingual field teams and capture essential metadata.

  • Language columns provide translated labels, hints and validation messages
  • Translation review compares technical meaning, local terms and respondent comprehension
  • Image prompts support visual identification of services, assets or conditions
  • Audio and video fields require explicit consent and justified collection purposes
  • Start, end and device metadata record interview timing and collection source
  • GPS questions capture coordinates with configured accuracy and consent safeguards

Participants can test forms systematically before field deployment.

  • Test cases cover eligibility, skips, constraints, repeats and unusual responses
  • Happy-path testing confirms expected completion through standard respondent scenarios
  • Boundary-value testing checks minimum, maximum and blank-entry behaviours
  • Peer review identifies ambiguous wording and missing response options
  • Pilot protocols record defects, severity, corrective action and retest results
  • Version-control logs preserve approved changes after testing decisions

Participants can deploy forms and control access for field data collection.

  • Deployment settings publish approved forms for web and mobile collection
  • Open, password-protected and authenticated links suit different respondent groups
  • User roles separate project ownership, form editing and data access
  • Permission reviews apply least-privilege access to sensitive programme information
  • Enketo web forms support browser-based self-administered questionnaires
  • Deployment checklists confirm links, languages, permissions and closing dates

Participants can configure Android devices for reliable offline KoboToolbox collection.

  • KoBoCollect retrieves deployed forms through authorised KoboToolbox project access
  • Blank form downloads are verified before teams travel to collection sites
  • Offline workflows store completed records until approved connectivity becomes available
  • Device settings manage date, language, battery and location permissions
  • Submission queues distinguish saved drafts, finalised forms and sent records
  • Device handover procedures protect accounts, forms and locally stored submissions

Participants can prepare enumerators and supervisors to collect consistent, ethical data.

  • Enumerator briefing agendas cover purpose, consent, question intent and escalation
  • Standard operating procedures define opening scripts, probing and interview closure
  • Role-play observations assess neutral interviewing and accurate device use
  • Supervisor spot checks compare submitted records with field observation notes
  • Daily debriefs identify recurring misunderstandings, delays and technical issues
  • Corrective-action logs assign retraining, form changes and follow-up responsibilities

Participants can monitor incoming data and identify priority quality issues.

  • Submission dashboards track volume, timing, enumerator and geographic coverage
  • Completeness checks identify missing mandatory records and incomplete repeat groups
  • Duplicate detection compares identifiers, timestamps, locations and respondent details
  • Outlier review flags improbable quantities, ages, durations and coordinates
  • Paradata review examines interview duration and unusual submission patterns
  • Data quality dashboards assign issues for verification and documented resolution

Participants can manage KoboToolbox data using defined retention, access and protection controls.

  • Data management plans specify ownership, storage, retention and deletion periods
  • Personally identifiable information is separated from analytical response data
  • Unique identifiers support controlled linkage without repeated personal details
  • Access registers document authorised users, permissions and periodic reviews
  • Secure transfer procedures govern exports, shared folders and approved recipients
  • Incident response steps define containment, notification, investigation and recovery

Participants can export KoboToolbox datasets and prepare them for analysis.

  • XLS and CSV exports provide formats for spreadsheet and statistical analysis
  • Repeat-group exports create linked child tables using submission identifiers
  • Data dictionaries document variable names, labels, codes and response meanings
  • Cleaning logs record original values, corrections, reasons and reviewer names
  • Missing-value codes distinguish refusal, unknown, not applicable and blank
  • Deduplication rules retain verified records and document removed submissions

Participants can prepare KoboToolbox data for indicator calculation and management reporting.

  • Disaggregation tables organise results by sex, age, location and disability
  • Indicator calculations apply approved numerators, denominators and reporting periods
  • Pivot tables summarise service use, coverage and feedback categories
  • Cross-tabulations compare outcomes between target groups and implementation sites
  • Data visualisation choices match management questions, indicator types and uncertainty
  • Reporting narratives distinguish confirmed findings from operational interpretation

Participants can maintain KoboToolbox projects through controlled change and periodic review.

  • Form governance assigns owners for design, approval, deployment and archival
  • Change requests assess effects on indicators, trends and existing datasets
  • Version transition plans prevent mixing records from incompatible questionnaire designs
  • Form archives retain retired instruments, documentation and approved export files
  • Periodic form reviews remove unused questions and update response lists
  • Lessons-learned registers capture field feedback for future instrument revisions

Participants can build, review and present a complete KoboToolbox data collection package for a defined monitoring scenario.

  • Monitoring scenario defines indicators, respondents, collection frequency and reporting decisions
  • Questionnaire specification maps each field to an indicator or management need
  • KoboToolbox form includes logic, constraints, repeats, metadata and translations
  • Test evidence documents resolved defects from structured scenario-based quality checks
  • Deployment plan specifies devices, access, enumerator briefing and supervision arrangements
  • Data management plan defines exports, cleaning, retention and access controls
  • Participant presentation explains design choices, risks, findings and implementation actions

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

What you take back to work

  1. Indicator-to-questionnaire specification template
  2. XLSForm monitoring questionnaire template
  3. KoboToolbox form testing checklist
  4. Enumerator briefing and supervision plan
  5. Field data quality dashboard model
  6. Data management and export procedure

Who should attend

  • Monitoring and Evaluation Officers — need reliable indicator data from field activities
  • Programme Officers — need practical tools for routine activity and beneficiary monitoring
  • Assessment Coordinators — need to configure rapid needs assessment questionnaires
  • Information Management Officers — need structured submissions for analysis and reporting
  • Enumerator Supervisors — need to prepare devices, teams and quality checks
  • Accountability and Feedback Staff — need safe systems for community feedback records

Skills and tools covered

Kobo form designXLSForm authoringMobile data collectionField data qualitySurvey logic configurationDataset cleaning

Tools and standards

KoboToolbox, XLSForm, KoBoCollect, Core Humanitarian Standard

How the course runs

Training methodology

The course uses short instructor briefings followed by guided configuration, case-based form design and peer review. Participants work through realistic monitoring scenarios, including beneficiary registration, post-distribution monitoring, facility supervision and community feedback. Group activities test questionnaire wording, skip paths, validation rules and field workflows. Simulated submissions reveal common device, connectivity and enumerator errors. Participants use application planning to adapt templates and decisions to their own programme requirements, while the instructor provides structured feedback on each data collection package.

Requirements and prerequisites

Participants should understand basic monitoring and evaluation terms such as indicators, outputs, outcomes, disaggregation and data collection methods. Experience using spreadsheets, entering data or supporting surveys is helpful. Participants should be comfortable working with files, web applications and mobile devices. Prior KoboToolbox experience is not required, although the course moves beyond simple form creation into XLSForm, field deployment and data quality management. Coding, statistics software, database administration and advanced Excel skills are not required. Participants should bring a laptop able to connect to the internet; an Android device is useful for mobile collection modules.

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

You should understand basic monitoring and evaluation concepts and be comfortable using spreadsheets and web applications. You do not need previous KoboToolbox, coding or database administration experience.

Bring a laptop with internet access and permission to install or use browser-based tools. An Android phone or tablet is useful for KoBoCollect modules, but it is not essential.

The course is designed for M&E officers, programme staff, assessment teams, information management personnel and enumerator supervisors. It is particularly relevant for people responsible for routine monitoring, surveys, needs assessments or feedback systems.

A general M&E course focuses on results frameworks, indicators and evaluation design. This course applies those concepts to building, deploying and managing actual KoboToolbox data collection systems.

Participants can adapt the completed form structure, testing checklist and deployment plan to their own programme instruments. They will also be able to review existing KoboToolbox forms for logic, validation, consent and data quality weaknesses.

Each training day runs from 08:30 to 16:30 and provides about 6.5 contact hours. The first part builds form design and XLSForm skills; the later part covers deployment, field operations, data management, analysis-ready exports and the capstone.

Questions about this course?

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

Ask on WhatsApp info@skillsetdevelopment.com

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