A reporter's first corporate offer, and a newsroom veteran's first raise ask
New-offer mode fits a specific, common move in this field: a reporter or editor leaving a newsroom for a first corporate communications or agency offer, where the pay structure, the bonus language, and the negotiating norms are all different from anything a newsroom job ever involved.
Someone used to a single negotiable number on a masthead job now has to weigh a base salary against a bonus target or an agency's billable structure, often for the first time.
Internal-raise mode fits a different, equally common situation: someone who has stayed inside one newsroom or comms department for years, through budget cuts and hiring freezes, and has never actually asked a manager for more, because the daily deadline always came first. Both scenarios involve holding a number out loud against real pushback, not just deciding what to ask for in private.
What each mode actually rehearses
In new-offer mode, the AI on the other end responds the way a corporate hiring manager actually would to a candidate coming from journalism, sometimes probing whether the number asked for reflects an accurate read of a corporate comms range rather than a newsroom one.
In internal-raise mode, the AI responds more like a manager working inside a constrained departmental budget, raising a counter about timing, scope, or what changed recently to justify the ask, closer to what a real newsroom or nonprofit comms budget conversation actually sounds like.
Both modes expect the candidate to state a specific number or ask out loud rather than talking around it, and both let the conversation run through at least one round of pushback before it ends.
Scoring
How the five dimensions read a negotiation instead of an evaluation
Communication is read on whether the actual number or ask gets stated plainly instead of hedged into vagueness, a specific weak point for anyone more used to asking an editor for a byline than asking a manager for money. Behavioral reads whatever justification gets offered, a specific project, story, or campaign cited as the reason the ask is fair, rather than a general sense of deserving more.
The penalty for an abrupt ending matters directly in both modes: a negotiation that trails off without a restated number, a next step, or a timeline scores worse than one that closes deliberately, whether that close is accepting a follow-up call about a corporate offer or agreeing on when a raise decision will actually get made.
Overall reflects how the whole conversation held together under real pushback, not just how the opening ask sounded.
Frequently asked questions
Which mode fits someone leaving a newsroom for a corporate communications job?
New-offer mode. It practices countering a job offer out loud, useful specifically for a reporter or editor negotiating a corporate or agency offer for the first time, where the pay structure, bonus language, and negotiating norms all differ from anything a newsroom job involved.
Can I practice asking a newsroom editor for a raise, not just negotiating a new offer?
Yes. Internal-raise mode is built for that conversation specifically, asking a current manager for more rather than countering an outside offer, and the AI on the other end responds with the kind of pushback a constrained department budget would actually raise.
Does the AI actually push back, or does it just accept whatever number I say?
It pushes back. The AI on the other side of the conversation responds the way a real hiring manager or department head would, with questions, hesitation, or a counter, rather than simply agreeing to the first number or ask that gets stated out loud.
Is this scored the same way as a practice interview?
It produces a scored report with written reasoning across the same five dimensions used elsewhere, though the conversation itself is a negotiation rather than a hiring evaluation, so the reasoning reads the ask and the pushback rather than a right or wrong answer.
Related pages
Rehearse the money conversation before you have it for real
Practice negotiating a corporate offer or asking a newsroom for a raise out loud with an AI that pushes back, then review a scored report on how it went.