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Vision Reach Global
Research, Data Management and Business Intelligence

Practical Data Collection, Survey Design & Mobile Tools Training Course in Tanzania

Classroom cohorts in Arusha, Dodoma, Dar es Salaam, Zanzibar · live online · in-house anywhere in Tanzania

Poor data costs more than slow data. A badly worded question, a biased sample or an unchecked form can lead a programme to the wrong conclusion, no matter how advanced the analysis that follows. Five days equip researchers, monitoring staff and survey managers to design studies that produce data they can trust, and to collect it efficiently on mobile devices.

You move from research questions to indicators, questionnaire writing, sampling methods and sample size, then into hands-on form building with skip logic, constraints, repeat groups, GPS and photo capture in KoboToolbox and Open Data Kit. Further sessions cover offline collection, server set-up, enumerator recruitment and training, pre-testing, field supervision, back-checks and real-time quality monitoring, with attention to consent, privacy and safeguarding of respondents. Data export, cleaning in Excel and basic summaries close the loop. The course is practical for M&E officers, researchers, statisticians, programme and project staff, university and think tank analysts, market researchers and government planners in NGOs, development agencies, companies and public bodies. Delivery is classroom, online or in-house with a CPD-accredited certificate. You leave with a tested digital questionnaire and a field plan you can run next month.

5 DaysIntermediateClassroom & Virtual & In-HouseCPD-Accredited

About this course

Programmes, ministries and businesses all depend on survey evidence, but too many surveys still rely on paper forms, rushed training and unchecked data entry. Errors creep in through ambiguous questions, wrong skips, missing records and unsupervised interviewers, and are discovered only when the report is half written. Mobile data collection removes many of these problems, yet technology alone does not rescue a weak design.

The Practical Data Collection, Survey Design & Mobile Tools Training Course joins the thinking and the tooling. Participants first define what they need to know, select indicators and decide between quantitative, qualitative and mixed approaches. They then learn questionnaire principles, response scales, translation and pre-testing, followed by probability and non-probability sampling, sample size calculation, weighting and handling of non-response. Hands-on labs follow in which every participant builds, deploys and tests a digital form, including calculations, validation rules and multi-language support.

The final sessions deal with the field: logistics, enumerator training, supervision, spot checks and dashboards that show progress and anomalies as submissions arrive. Participants export data, clean it and produce first tables, learning how quality control during collection prevents rework later. Each person completes a survey plan for a real or realistic study.

Training Objectives

By the end of the five days, participants will be able to:

  • Translate a research question into measurable indicators and a data collection plan.
  • Write clear, unbiased questions and organise them into a logical questionnaire.
  • Select a sampling approach and calculate a defensible sample size.
  • Build and test mobile forms with skip logic, constraints, repeat groups and GPS capture.
  • Deploy forms, manage devices and synchronise data offline and online.
  • Train and supervise enumerators and run back-checks and spot checks.
  • Apply ethical standards for consent, confidentiality and data protection in the field.
  • Clean, export and summarise collected data for analysis.

What you'll learn

Translate a research question into measurable indicators and a data collection plan.
Write clear, unbiased questions and organise them into a logical questionnaire.
Select a sampling approach and calculate a defensible sample size.
Build and test mobile forms with skip logic, constraints, repeat groups and GPS capture.
Deploy forms, manage devices and synchronise data offline and online.
Train and supervise enumerators and run back-checks and spot checks.
Apply ethical standards for consent, confidentiality and data protection in the field.
Clean, export and summarise collected data for analysis.

Key Takeaways

Participants leave the course with:

  • A working digital questionnaire built and tested on a phone.
  • A sampling plan with a sample size calculation.
  • An enumerator training outline and field manual checklist.
  • A data quality monitoring plan with back-check rules.
  • A consent and data protection protocol for respondents.
  • A cleaned practice dataset and summary tables.

Training Methodology

Learning is lab-based and tied to field reality. The programme uses:

  • Guided build sessions for forms on participants' own devices
  • Pilot interviews between participants to expose design flaws
  • Sampling exercises using realistic household lists
  • Simulated field monitoring with a sample dataset containing planted errors
  • Group critique of each participant's survey plan

Upcoming cohorts

Register for the Course

Download the Course Brochure

CPD-Accredited

Official invoice & confirmation letter provided

Team discount for 3+ seats

Need help with this booking?

Our training team can help with group pricing, invoicing, or picking the right schedule.

FAQ

Frequently Asked Questions About Practical Data Collection, Survey Design & Mobile Tools Training Course in Tanzania

Everything you need to know about this course before you register.

Practical Data Collection, Survey Design & Mobile Tools Training Course runs as classroom training in Arusha, Dodoma, Dar es Salaam, and Zanzibar, Tanzania, in Monday-to-Friday cohorts that start every four weeks. You can also join a live online cohort from anywhere in Tanzania, or book it in-house at your organisation's own premises.

Still have questions about Practical Data Collection, Survey Design & Mobile Tools Training Course in Tanzania? Chat with an advisor·Visit the full FAQ

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