← Research lab100 · Methodology and data ethics

Research useful ho, privacy compromise kiye bina.

Trust matters more than an impressive headline. Karja’s current research library uses simulations, analytical benchmarks and explicit scenarios because no approved anonymised product export was available for this release.

MethodologyReviewed 16 October 2026
0

production user rows used

For the current synthetic research release.

10

documented studies

Including this methodology page.

100%

limitations disclosed

Every study includes a caveat section.

Results

Model ka output.

Evidence typeWhat it can supportWhat it cannot claimPublication rule
Synthetic simulation

Model behaviour

Real user averages

Publish seed and assumptions

Analytical benchmark

Mathematical limits

Human behaviour

Publish formula and inputs

Scenario model

Illustrative decisions

Market prevalence

Label every assumption

Anonymised aggregate

Observed product patterns

Individual stories

Use thresholds and privacy review

Sample

Exactly kya analyse hua?

The Phase 5 research library, studies 91–100.

Method
  1. 01

    Label every page by evidence type.

  2. 02

    Publish assumptions, sample size and deterministic seed where applicable.

  3. 03

    Never describe synthetic outcomes as user behaviour.

  4. 04

    Require aggregation thresholds before reporting real group segments.

  5. 05

    Exclude names, emails, notes, group titles and free-text descriptions from research exports.

What we learned

Findings ko context mein padho.

  • Synthetic studies are valuable for system behaviour but cannot describe customers.
  • Free-text financial fields should not enter research datasets.
  • Small segments should be suppressed so a person or group cannot be inferred.
  • Future observed reports should separate correlation from causation.
Quick answers

Study FAQs.

Does this research library use real Karja customer data?

No. The current release uses synthetic simulations, analytical formulas, published plan limits and explicitly illustrative scenarios.

What data is needed for future observed reports?

Aggregated non-identifying fields such as month, broad group category, member-count band, expense-count band, split method, reminder count and settlement-duration band—subject to thresholding and privacy review.