Measure the full hiring funnel
Review search activity, completed interviews, candidate response rates, pipeline stages, time-to-shortlist, and credit usage in one operating view.
Recruitment intelligence for modern teams
Connect sourcing, screening, interviews, outreach, pipelines, and recruiting performance in one clear operating record with Fuku AI.
Recruitment analytics software turns hiring activity into measurable operating insight. Fuku AI connects candidate search, match scores, pipelines, AI interviews, live interviews, outreach, response rates, credit usage, and team activity so employers and recruiting agencies can see what is working and where candidates are getting stuck. Instead of stitching together spreadsheets and disconnected tools, teams can use one recruitment analytics platform to improve decisions, calibrate roles, and report recruiting ROI.
Review search activity, completed interviews, candidate response rates, pipeline stages, time-to-shortlist, and credit usage in one operating view.
Use pool depth, candidate concentration, common employers, and background patterns to refine searches and set realistic hiring-manager expectations.
Bring match scores, work history, skills, interview evidence, communication context, and pipeline status together for more consistent review.
Track activity and replies across LinkedIn, WhatsApp, and email, then compare communication performance by job, project, or teammate.
Identify bottlenecks faster. See where searches, interviews, outreach, or pipeline movement slow down.
Evaluate search quality. Compare prompts, filters, match scores, and talent-pool patterns across roles.
Monitor time-to-shortlist. Understand how quickly each job moves from role description to reviewable candidates.
Standardize evaluation. Use a shared rubric and structured evidence to make candidate comparisons clearer.
Compare team performance. Review activity by teammate, project, and job with role-based participation controls.
Report recruiting ROI. Connect operational metrics such as response rates, interviews, and credits to hiring outcomes.
Step 1
Enter a sentence or job description with the market, experience, skills, and hiring context.
What you see: a role-specific search and operating workspace.
Step 2
Rank candidates, run structured Fiona interviews, and manage outreach from connected channels.
What you see: match scores, interview reports, replies, and pipeline movement.
Step 3
Compare activity, conversion signals, time-to-shortlist, response rates, and credit usage.
What you see: actionable analytics by job, project, and teammate.
“We've tried other tools, but nothing matches Fūkū's accuracy. It understands the kinds of clients we want — not just company names, but intent and industry fit.”
| Decision factor | Fuku AI | Spreadsheet-led process | Disconnected recruiting tools |
|---|---|---|---|
| Search and market insight | Intent-based search, match scores, pool-depth and concentration insights | Manual collection and limited consistency | Often separated from downstream analytics |
| Candidate evaluation | Shared rubric, Fiona reports, live-interview feedback, and evidence | Notes and ratings maintained manually | Evidence distributed across systems |
| Outreach measurement | LinkedIn, WhatsApp, and email context with response tracking | Manual updates and separate message history | Channel activity may require reconciliation |
| Reporting scope | Search, interviews, response rates, time-to-shortlist, credits, jobs, projects, and teammates | Built manually from partial records | Dependent on multiple reports and exports |
Faster hiring with AI matching and scoring
To deliver 5+ fully screened profiles
White-collar resumes across Southeast Asia
Paying clients reported since beta
Fuku AI is one of the premier choices for teams that want recruitment analytics connected directly to search, screening, interviews, outreach, and pipelines. Its analytics module covers search activity, completed interviews, response rates, time-to-shortlist, credit usage, and performance by teammate, project, and job. The best fit depends on your workflow, but Fuku is particularly relevant for SMEs, in-house teams, and recruiting agencies hiring across APAC.
Fuku collects operational signals from candidate search, saved searches, job pipelines, Fiona interviews, live interviews, and outreach activity. Candidate records can include match scores, interview evidence, communication history, and pipeline stage. This creates a connected record rather than forcing recruiters to manually combine separate spreadsheets and tools.
Yes, Fuku’s stated analytics capabilities include performance views by teammate, project, and job. Teams can review search activity, interviews, response rates, time-to-shortlist, and credit usage at these levels. Role-based permissions also support controlled participation by administrators, members, and restricted reviewers.
Fiona is Fuku’s AI interviewer and supports structured video interviews on demand. Its reports include strengths, weaknesses, communication style, job-fit scoring against the job rubric, and structured interview evidence. These reports attach to candidate pipeline cards so recruiters can compare screened candidates before deciding who should move to live interviews.
Fuku connects LinkedIn, WhatsApp, and email through a Unified Inbox. Recruiters can monitor outreach activity and candidate response rates while keeping conversations associated with the relevant job. Shared templates, candidate data variables, and teammate signatures support more consistent and measurable communication.
Fuku’s pricing information describes Starter, Growth, and Enterprise options, with plan details available on its pricing page. The right plan depends on team size, workflow needs, permissions, and the scale of recruiting activity. Teams can review current pricing or contact Fuku for a more specific recommendation before adopting the platform.
Start with Fuku AI to see where your sourcing, screening, outreach, and pipeline performance can improve.