Instrument engineering
Translate questionnaires and study rules into tested XLSForm logic, including validation and calculated fields.
Suhanur Rahman designs and deploys KoboToolbox and XLSForm workflows for research teams that need reliable mobile data collection, not merely a questionnaire converted into XML. The work connects form logic, field operations and downstream data quality.
field research projects
core form engineering layers
field + analysis sides connected
maintainable form workflow
The form is valid but enumerators keep reaching confusing edge cases.
Skip logic and constraints are getting patched instead of engineered.
You are collecting data first and discovering quality problems later.
The person who built the form does not understand the field operation.
A field instrument needs to behave predictably on a phone, make the correct question appear at the correct time and prevent obvious errors before they enter the dataset. It also needs to remain understandable to the team maintaining it after the original developer is gone.
That requires careful XLSForm structure, relevance and skip logic, constraints, calculations, repeat groups, rosters and sensible naming. It also requires testing against the realities of the study: enumerator habits, network conditions, sensitive questions and edge cases that never appear in a clean spreadsheet.
Translate questionnaires and study rules into tested XLSForm logic, including validation and calculated fields.
Prepare devices and field workflows, troubleshoot collection issues and document the operational process.
Build checks that reduce inconsistent responses, missing fields and structurally invalid records before analysis.
Document the form, explain the logic and train researchers or enumerators so the system remains maintainable.
This work is a strong fit for organizations collecting structured field data in Bangladesh, South Asia or distributed programs elsewhere. The practical advantage is having one technical workflow that connects study design, mobile collection, quality assurance and the final analysis dataset instead of passing a fragile form between disconnected roles.
Share the questionnaire, the study population, device constraints and expected outputs. That gives enough context to scope the KoboToolbox work properly.