Generate synthetic mixed-methods behavioural data

Simulates users from three latent profiles (frustrated, efficient, casual) with session metrics and a short feedback text whose wording depends on the profile. Frustrated users have longer sessions and more errors; feature requests are added at random, independent of profile, so they should show no real effect. Useful for trying the package without an API key.

Usage

mock_mixed_data(n_users = 50, seed = NULL)

Arguments

n_users: Number of users to simulate.
seed: Optional random seed. The global random state is restored afterwards.

Value

A tibble with user_id, profile (the hidden ground truth), session_duration_sec, errors_encountered and transcript_feedback.

Examples

mock_mixed_data(5, seed = 1)
#> # A tibble: 5 × 5
#>   user_id  profile   session_duration_sec errors_encountered transcript_feedback
#>   <chr>    <chr>                    <dbl>              <int> <chr>              
#> 1 USR-1001 frustrat…                  594                  7 This interface is …
#> 2 USR-1002 casual                     291                  4 Standard performan…
#> 3 USR-1003 frustrat…                  402                  7 Why is the checkou…
#> 4 USR-1004 efficient                  111                  0 The feature works …
#> 5 USR-1005 frustrat…                  433                  9 This interface is …