Household, facility and listing surveys
Sampling, listing, questionnaire design and large-scale CAPI fieldwork, including replacement protocols when records fail quality checks.
What we do · 03
Field operations that hold up under scrutiny.
ASER runs surveys, interviews and digital collection in demanding settings — then turns clean datasets into analysis decision-makers can trust.
Data Collection & Analytics
How we work in this area.
Good analysis cannot rescue a poorly run field operation. ASER invests in recruitment, training, piloting, supervision and independent quality assurance so the dataset that reaches the analyst is fit for purpose.
We collect household, facility and community data using digital tools where they strengthen accuracy, and more flexible methods where security, connectivity or respondent safety require it. Qualitative teams run key informant interviews, focus groups and participatory exercises with the same discipline.
Analytics covers cleaning, verification, descriptive and inferential statistics, qualitative coding and synthesis. Outputs range from cleaned datasets and codebooks to visual briefs and full technical annexes.
What we deliver
The assignments we take on.
Digital and remote data collection
Tablet-based surveys, skip logic, GPS and time stamps, plus remote or hybrid modes when access is constrained.
Interviews, focus groups and participatory tools
Structured qualitative fieldwork with trained facilitators, translation review, and documentation that can be coded and triangulated.
Field team recruitment and training
Enumerators and supervisors selected for competence and integrity, trained on the protocol, ethics and the specific tools of each assignment.
Cleaning, verification and statistical analysis
Range and logic checks, back-checks, triangulation with independent sources, and analysis that is reviewed before it is presented as fact.
Visualization and insight products
Tables, maps, dashboards and short insight notes that help non-technical readers see the pattern without hiding the caveats.
Approach
A clear sequence, adapted to the assignment.
01
Plan
Agree population, sample, instruments, languages, devices and the QA plan, including how rejected data will be replaced.
02
Pilot
Test tools and translations in context and fix weaknesses before full deployment.
03
Collect
Supervise in real time with spot checks, surprise visits and remote monitoring from ASER offices.
04
Assure
Independent QA — not the same staff who collected the data — decides what stays in the dataset.
05
Deliver
Handover of cleaned data, documentation, analysis and visuals, with methods transparent enough to audit.
Who this is for
- Research and MEL teams that need a field partner
- Projects in hard-to-reach or insecure areas
- Clients requiring documented data quality
- Organisations handing over datasets for secondary analysis
