ISA decisions
- Observations
- 9,100
- Sessions
- 3,850
- Visible providers
- 22
- Latest period
- 2026-10
This guide describes the observation sources, analytical limits and publication rules that govern all data on this site. Read it before drawing conclusions from any single result.
The cards below show the sources currently active in the repository. Observation counts and provider tallies are computed server-side; the browser receives only approved aggregate output.
Retirement planning combines pension-calculator records with SIPP records explicitly in withdrawal mode across the full collection history. The SIPP view retains both growth and withdrawal activity. These views overlap: their observation and session totals must not be added together. The site-wide unique-record total counts each underlying record once, not unique people.
Combined measures use comparable inputs such as pension pot values and withdrawal choices. Annual withdrawal includes an entered custom amount only when custom withdrawal was selected. Projected income is not treated as an entered withdrawal amount, and SIPP retirement age is not substituted for pension withdrawal age. Measures not captured comparably remain missing for that source and require at least 50 valid values before publication. Sessions are counted within each source, not matched to people across calculators.
These are methodological constraints, not fine print. They ensure the repository is analytically useful without exposing granular or potentially re-identifiable patterns.
A group needs at least 50 observations before it is included in a public chart or table. Smaller groups are omitted, not estimated.
No personally identifiable information is ever collected or processed in the decision data covered by this repository. Names, emails, addresses, IPs, device IDs, source identifiers and session IDs are not part of the analytical dataset, and public pages return combined results only.
Patterns in the data can inform a question, but they cannot tell an individual what financial choice is right for them.
We can clarify what the public data covers and discuss research questions without opening a raw-data endpoint.