Add additional clarification on required conditions

docs/release-notes/v0.7.3.rst

@@ -15,12 +15,16 @@ Fixes
   (PRs :pr:`2277`, :pr:`2278`)
 
   The fixed bug was subtle and only occurred for specific configurations of
-  settings and arguments.
-  To determine if you might have been affected by it see if you used a setup
-  like the following in any part of your code
+  settings and arguments where ``do_grad=False`` was used (either explicitly
+  by provided kwarg or implicitly through defaults).
+  To determine if you might have been affected by it, check your code for
+  setups like the following.
 
   .. code:: python
 
+    # Bug is backend independent. JAX is selected as an example where
+    # do_grad=False might be selected in response to the backend's value of
+    # pyhf.tensorlib.default_do_grad being True.
     pyhf.set_backend("jax", pyhf.optimize.minuit_optimizer(strategy=0))
 
     ...
@@ -43,6 +47,14 @@ Fixes
     )
     data = [51, 48] + model.config.auxdata
 
+    # passing with strategy kwarg explicitly given
+    fit_result, opt_result = pyhf.infer.mle.fit(
+        data, model, return_result_obj=True, do_grad=False, strategy=0
+    )
+    minuit_strategy = opt_result.minuit.strategy.strategy
+    print(f"# Minuit minimization strategy: {minuit_strategy}")
+    assert minuit_strategy == 0
+
     # strategy kwarg not given
     fit_result, opt_result = pyhf.infer.mle.fit(
         data, model, return_result_obj=True, do_grad=False