glm is returning random letters for levels of an ordered factor

Question

I'm using the glm function to evaluate the effect of two variables on the response variable converted, which are:

tibble [780 × 3] (S3: tbl_df/tbl/data.frame)
 $ converted     : Factor w/ 2 levels "no","yes": 1 2 2 2 2 ...
 $ personal_email: Factor w/ 2 levels "FALSE","TRUE": 1 1 1 1 1 ...
 $ when          : Ord.factor w/ 4 levels "immediately"<..: NA NA NA 1 1

call for the function is: glm(formula = converted ~ personal_email + when, family = binomial, data = df)

which returns, with the summary() function:

glm(formula = converted ~ personal_email + when, family = binomial, 
    data = df)

Coefficients:
                   Estimate Std. Error z value   Pr(>|z|)    
(Intercept)          -3.457    303.653  -0.011      0.991    
personal_emailTRUE   -3.704      0.809  -4.579 0.00000468 ***
when.L              -11.083    814.787  -0.014      0.989    
when.Q               -9.235    607.307  -0.015      0.988    
when.C               -4.918    271.597  -0.018      0.986    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

(Dispersion parameter for binomial family taken to be 1)

    Null deviance: 230.97  on 167  degrees of freedom
Residual deviance: 170.47  on 163  degrees of freedom
  (612 observations deleted due to missingness)
AIC: 180.47

Number of Fisher Scoring iterations: 16

why is the function returning these letters for when levels instead of the actual levels? Also, the coefficients and p-values for the levels of said factor changed after I made the factor ordered, which I thought the glm function did not take into acount.

What am I doing wrong?