Ashby vs WorkStory

WorkStory is the easiest way to implement performance reviews & 360s - all inside of Slack. Save Time Performance review cycles can take forever. Let WorkStory automate the review process so that you can spend less time reviewing and more time growing. Streamline Your Process With WorkStory collecting performance data throughout the year, HR managers and team leaders are free to have performance conversations whenever it makes sense - from quarterly check-ins to more formal annual reviews. Real-Time Feedback Employees now have the benefit of seeing feedback in real-time. By having an understanding of their performance throughout the year, team members know exactly where they stand and what they can do to grow. AI Assistance Bring the power of AI to your performance management process. With WorkStory’s AI Assist, your team members will receive summaries of their performance each month along with three actionable recommendations on how they can improve. Features • Automatic review scheduling and management WorkStory sends review questions to the right people at the right time • Generate, send and sign performance evaluations Whenever you’re ready, create a report and have a conversation • Simple, customizable reviews across teams All aspects are customizable, including the review questions and categories • Performance trends and metrics for users and teams See how well employees are doing to support objective decision-making • Competencies and categories based on roles Measure different roles and responsibilities with different questions • Creating pulse surveys Understand team culture by sending questions about your organization Helpful Info • Customer-service is important to us If you need anything, just email [email protected] • Have questions? Check out our FAQs at https://home.workstory.team/faq • WorkStory can be fully utilized through Slack Visit https://home.workstory.team to get started

About Ashby's integration with Slack brings recruiting notifications, approvals, and conversational actions directly into Slack so your team can stay on top of hiring without leaving the app. Notifications and reminders The Ashby bot sends real-time updates to your team in Slack for candidate pipeline activities, mentions and replies, interviewer and task reminders, reporting alerts, and more. Ashby Assistant and custom agents You can also message the Ashby Assistant by starting a conversation directly in the Ashby app in your Slack workspace. If you've set up custom agents in Ashby, you can use them in the same conversation by referring to them by name and asking the Assistant to use them for your request. With the Assistant, you can: Take actions: Add notes on candidate profiles, advance, archive, or reject candidates, draft and send emails, look up candidate details, leave feedback, and search candidates and job postings among other actions. Confirm before anything runs: The Ashby Assistant previews emails, stage changes, notes, and other actions in Slack with confirm and reject buttons. Maintain old conversations by staying within a thread for context, or you can start fresh with a new top-level message. Keep the same permissions as you have within Ashby: Every action runs on your behalf, scoped to your role. Ashby MCP You can also connect to the Ashby MCP server and ask about your hiring directly in Slack. As with the Assistant, everything is scoped to what you can see in Ashby, and any action is previewed for your review before it runs. The examples below show common things you can ask, along with the underlying Ashby tools each one uses. Review pipelines: "Summarize our engineering pipeline and flag where candidates are stalling." get_job_pipeline — Returns pipeline metrics for one or more jobs, including per-stage application counts. filter_records — Finds applications, candidates, jobs, and offers using structured criteria. Prep for interviews and debriefs: "Build an interview brief for [Candidate], including prior feedback and open concerns." get_interview_details — Returns a detailed briefing for a specific interview, including candidate background and instructions. get_submitted_feedback — Retrieves the scorecard feedback you've already submitted for an application. Look up records: "Pull up the details on [Candidate]'s application." search_records_by_name — Resolves a candidate, job, or application name to its record. get_record_details — Fetches full details for jobs, applications, openings, offers, and more. Take actions: "Add a note to [Candidate] and move them to the onsite stage." add_note_to_candidate — Adds a note to a candidate's profile. change_application_stage — Moves an application to a different interview stage. Please note: This app includes AI-powered features that generate responses, summaries, and recommendations based on the information available to it. AI-generated content may be inaccurate and should be reviewed before use.