Your AI companion for Homerun.
Strawberry helps you handle the browser work that surrounds hiring in Homerun. Ask a companion to review incoming job applications against a role’s requirements, summarize candidate histories, compare scorecards, identify missing interview feedback, prepare candidate messages, and map out next hiring-stage actions.
It can work from the context already visible in your Homerun tab: the open job, the candidate profile, submitted feedback, interview notes, and pipeline stage. You stay in charge of decisions and approve record updates or outgoing communication before they happen.
Review applications against the role before the pipeline gets crowded.
A busy role can collect dozens of applications before the hiring team has time to assess them consistently. Strawberry can help turn the visible information in Homerun into a structured first-pass review. It can read application answers, work history, portfolios, cover letters, and the requirements listed for the open role, then organize what it finds around the criteria your team cares about.
Ask for a candidate-by-candidate summary that separates demonstrated qualifications from assumptions. For example, it can highlight direct experience with a required tool, call out unclear tenure or location details, surface relevant work samples, and note when an application does not answer a screening question. That makes it easier to decide which candidates deserve a closer look without replacing the judgment of the hiring team.
For teams using scorecards, Strawberry can also prepare a suggested evidence table: requirement, evidence found, uncertainty, and follow-up question. The result is a more useful review queue than a stack of unstructured profiles.
Turn interview feedback into a clear hiring decision record.
Interview feedback is most valuable when it is specific, comparable, and available before the debrief. Strawberry can help review the scorecards and written feedback visible in Homerun, grouping observations by the competencies your team uses to evaluate candidates.
Rather than flattening feedback into a generic summary, it can distinguish between evidence, opinion, and unresolved disagreement. Ask it to identify scorecards that are incomplete, find interviewers who have not submitted feedback, or create a debrief brief that captures strengths, risks, evidence gaps, and questions for the hiring panel.
For a candidate who has met several interviewers, Strawberry can produce a neutral synthesis. It can show where the team saw strong evidence of collaboration, which technical claims need validation, and whether concerns came from one interview or appeared across the panel. This helps interview leads focus the debrief on the decision at hand instead of reconstructing the interview cycle from scattered notes.
Keep candidate stages and communication aligned with the team’s decision.
A candidate’s experience can suffer when a decision is made in conversation but the Homerun record, next interview, or follow-up message lags behind. Strawberry can help you check the visible pipeline for candidates whose current stage does not match the activity recorded on their profile.
Ask it to identify people waiting after a completed interview, candidates with a scheduled next step but no confirmation message, or applications that need a rejection, hold, or hiring-manager review. It can draft communication tailored to the actual stage and context on the candidate record, including interview invitations, update messages, requests for availability, and courteous closure notes.
When a move is appropriate, Strawberry can prepare the intended action and the supporting rationale for your review. You decide whether a candidate should advance, stay in the current stage, or be declined. Before a message is sent or a Homerun record is changed, you can inspect the draft and confirm the action.
This approach keeps operational follow-through close to the hiring team’s decisions while reducing the manual checking that causes avoidable delays.
Run a weekly pipeline review that catches stalled hiring work.
Set a concrete cadence, such as every Monday morning before the hiring team’s weekly planning meeting. Open the relevant Homerun jobs and ask Strawberry to review the visible pipeline for operational gaps. Review applications awaiting first review. Review interviews completed without scorecards. Review scorecards missing from required interviewers. Review candidates sitting too long in one stage. Review records without a documented next action.
The review can produce a role-by-role checklist for recruiters and hiring managers. It might separate urgent follow-ups from routine cleanup, identify candidates needing a decision before another interview is scheduled, and list communication that should be drafted or checked. This gives the team a shared operational picture before the meeting, rather than discovering bottlenecks one candidate at a time.
A weekly review also protects candidate experience. It helps ensure that qualified applicants are not overlooked, interview feedback does not disappear into a backlog, and candidates do not wait unnecessarily because a stage update or reply was missed. Use the output as a review agenda, then approve only the specific Homerun updates and messages that your team wants to make.
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Strawberry is free to download and includes AI credits to start. Paid plans begin at $20/month. See pricing. · Reviewed · Canonical facts for AI agents