Monthly People Metrics Scorecard for Leadership

Monthly People Metrics Scorecard for Leadership

Every HR leader eventually hits the same wall. You have spent weeks pulling data on hiring, attrition, engagement, and payroll. You build a 40-slide deck packed with charts. You walk into the leadership review, and by slide 12, the founder is checking their phone and the CFO has already asked, "so what do you want me to do about this?"

The problem is rarely the data. It is usually the delivery. Leadership teams do not need every number HR tracks — they need a small, curated set of signals that tells them, at a glance, whether the organization's people engine is healthy, where it is straining, and what decisions need their attention this month. That curated set is what we call a people metrics scorecard.

This guide is written for HR managers, founders, and payroll leaders at Indian startups and SMBs who want to move away from scattered reports and towards a single, high-signal monthly view that leadership actually reads. We will cover why a scorecard beats a data dump, how to pick the right 8-12 metrics, how to define them so they mean the same thing every month, how to lay out a one-page report that non-HR people can understand in ninety seconds, the monthly process and checklist to produce it reliably, how to present it so it lands as a business story rather than an HR update, the common mistakes that quietly erode trust in the report, and how the right HRMS can automate most of the heavy lifting.

Nothing in this article uses invented statistics or fabricated industry benchmarks. Every number you see is a clearly labelled hypothetical example meant to illustrate a concept — your own scorecard should be built on your organization's actual data and internally agreed targets, not on someone else's averages.

Why Leadership Needs a Scorecard, Not a Data Dump

The data dump problem

Most people functions start their reporting journey with good intentions and end up with the opposite of clarity. A typical "monthly HR report" in an Indian startup often looks like this: a spreadsheet with twenty tabs, a slide for every department's headcount, a chart for every source of hire, an attrition breakup by every possible dimension (age, gender, tenure, manager, location), and a wall of engagement survey scores.

This is exhaustive, and exhausting. It is built to demonstrate that HR is busy and thorough, not to help a founder or CXO make a decision. Three things go wrong when you hand leadership a data dump:

• Signal gets buried in noise. If attrition is spiking in one critical team, that fact is one line among two hundred, and it is easy to miss.
• Leadership disengages. When a report takes real effort to parse, busy executives skim it once and then stop reading it altogether in future months.
• Decisions get delayed. Without a clear "so what," the report becomes an archive rather than a trigger for action.

What a scorecard does differently

A scorecard is deliberately narrow. It answers three questions for a leadership audience:

1. Is the organization's people health improving, stable, or deteriorating?
2. Where, specifically, should leadership pay attention this month?
3. What decision or support does HR need from leadership as a result?

To do this well, a scorecard trades breadth for depth of insight. It picks a small number of metrics that are genuinely representative of organizational health, tracks them consistently month over month, and pairs each number with just enough context (trend, target, and a short narrative) for a non-HR reader to understand what it means and why it matters.

Think of the scorecard as the equivalent of a cockpit dashboard rather than the full maintenance log of an aircraft. Pilots do not need every sensor reading mid-flight — they need altitude, speed, fuel, and a handful of warning lights. Everything else lives in a detailed log that specialists can pull up on demand. Your monthly HR data dump should still exist, but as a backup appendix, not the headline document.

Why this matters more for Indian startups and SMBs

In lean Indian organizations, HR often reports directly to the founder or CEO, sometimes without a layer of dedicated People leadership in between. Founders are already juggling product, sales, fundraising, and operations — they do not have the bandwidth to interpret raw HR data. A concise scorecard, translated into business language, is often the only way people metrics get real airtime in leadership meetings and board updates. It also builds HR's credibility as a strategic function rather than an administrative one, because it shows HR can distill complexity into decisions, the same way a good CFO distills a full ledger into a handful of financial ratios.

Choosing the Right 8-12 Metrics

The hardest part of building a scorecard is not designing the layout — it is having the discipline to leave things out. A good monthly scorecard for leadership typically has between eight and twelve metrics, grouped into five or six categories. Fewer than eight and you risk missing a category that matters to your business; more than twelve and you are back to a data dump with a nicer template.

Here is a practical way to think about the categories and how to select one or two representative metrics from each.

1. Headcount and hiring

This category answers: are we growing the way we planned to, and is hiring keeping pace with the business?

Good candidate metrics:

• Total active headcount versus plan (budgeted headcount for the month/quarter)
• Open positions and time-to-fill for critical roles
• Offer acceptance rate (offers accepted divided by offers extended)

Pick one or two, not all three, unless hiring is a major strategic priority this quarter (for example, during a funding-driven scale-up phase), in which case it is reasonable to give this category more weight temporarily.

2. Attrition and retention

This category answers: are we keeping the people we need to keep, and is departure activity healthy or a warning sign?

Good candidate metrics:

• Overall monthly or rolling attrition rate
• Regretted attrition (departures of people the organization would have preferred to retain, as a share of total exits)
• Early attrition (exits within the first six or twelve months, which usually points to hiring or onboarding issues rather than general dissatisfaction)

Choose the one or two that reflect the risk your leadership actually worries about. A seed-stage startup might care most about regretted attrition among senior engineers; a 500-person BPO might care most about overall attrition rate because of its direct cost impact.

3. Engagement and sentiment

This category answers: how do employees feel about working here, and is that trending in the right direction?

Good candidate metrics:

• Engagement survey score (from your regular pulse or quarterly survey, expressed as an index or percentage favorable)
• Employee Net Promoter Score (eNPS)
• Participation rate in the engagement survey (a proxy for how much people trust the process enough to respond honestly)

If you are not running a structured survey yet, it is fine to start with a simpler proxy like manager-reported team sentiment, but flag it clearly as a qualitative input rather than a hard number.

4. Payroll cost and workforce economics

This category answers: is our people cost structure sustainable and in line with the plan?

Good candidate metrics:

• Total payroll cost versus budget for the month
• Cost per hire or average cost per employee (CTC run-rate)
• Overtime or variable pay as a percentage of total payroll, if relevant to your workforce

This is often the category CFOs and founders scan first, because it connects directly to burn rate and runway — a language every leadership team speaks fluently.

5. Compliance health

This category answers: are we exposed to statutory, contractual, or audit risk because of gaps in our people processes?

Good candidate metrics:

• Statutory compliance status (PF, ESI, professional tax, TDS on salaries, labour welfare fund filings — tracked as "filed on time / pending / overdue" rather than a raw number)
• Percentage of employee documentation complete (offer letters, contracts, POSH acknowledgements, background verification closure)
• Number of open compliance or audit action items, with ageing

Compliance metrics are often binary or status-based rather than continuous numbers, and that is fine — a scorecard should represent them as a clear RAG (red-amber-green) status rather than force them into a percentage that hides risk.

6. Productivity and workforce efficiency

This category answers: is the organization getting the output it expects from its people investment?

Good candidate metrics:

• Revenue or output per employee (if meaningful for your business model)
• Utilization rate, for services or project-based businesses
• Absenteeism rate or average leave days taken, as a proxy for workforce availability

This category is the most business-specific — a SaaS company, a BPO, and a D2C brand will each define "productivity" differently, so choose the version that leadership already discusses informally, and simply formalize it.

A practical selection process

1. List every metric currently tracked across HR, payroll, and any engagement tools.
2. Map each one to the six categories above.
3. Ask, for each metric: "If this number moved sharply in either direction, would leadership want to know about it this month?" If the honest answer is no, drop it from the scorecard (it can still live in the detailed appendix).
4. Cap the final list at 8-12 metrics, making sure every category above has at least one representative unless it is genuinely not material to your business (for example, a very early-stage startup with five employees may skip a dedicated productivity metric for now).
5. Revisit the list once or twice a year — as the business matures, the metrics that matter will shift. A pre-Series A startup obsesses over hiring velocity; a post-IPO company obsesses over cost per employee and compliance exposure.

Defining Each Metric Clearly and Consistently

A scorecard is only trustworthy if every number means exactly one thing, every month, to everyone who reads it. Nothing damages HR's credibility faster than a metric whose definition quietly changes between January and February.

Write a one-line definition and formula for every metric

For each of your 8-12 chosen metrics, document:

• Name — the exact label used on the scorecard
• Formula — the precise calculation
• Data source — which system (HRMS, payroll, ATS, survey tool) the number is pulled from
• Owner — who is responsible for pulling and validating it each month
• Frequency — monthly, rolling 3-month average, or quarterly (some metrics, like engagement scores from a quarterly survey, will not update every month, and that is fine — just be explicit that the number is "held" from the last survey)

For example, a clear definition for attrition might read: "Monthly Attrition Rate = (Number of voluntary and involuntary exits during the month ÷ Average headcount during the month) × 100. Source: HRMS exit records. Owner: HR Ops. Reported monthly, with a trailing 12-month figure shown alongside for context."

Keep this definition sheet as a living reference document (even a single-page appendix works) that any new HR team member can use to understand exactly how a number is built, without needing to ask around.

Avoid inventing precise "industry benchmark" targets

It is tempting to tell leadership "our attrition of X% is above/below the industry average of Y%." Resist this unless you have a specific, credible, and current source for that benchmark that you are comfortable defending in the room. Industry averages vary enormously by sector, city, role level, and company stage, and a wrong or outdated benchmark is worse than no benchmark at all — it invites the wrong comparison and can trigger unnecessary alarm or false comfort.

Instead, set internal targets based on your own organization's history and goals:

• Use your own trailing 12-month average as a baseline, then set a target of holding steady or improving by a defined margin.
• Involve leadership in setting the target so it is a shared commitment, not an HR-imposed number. For example, in a planning session, the founder and HR head might agree that "we want engineering attrition to stay under our own trailing-year average while we get through this product launch," rather than anchoring to an external number neither of you can verify.
• Revisit targets at least twice a year, especially after major business events (funding rounds, restructuring, new leadership, market shifts) that change what "normal" looks like for your organization.
• Where you genuinely have no historical baseline yet (a brand-new startup, or a metric you have just started tracking), label the first two or three months as "baseline period" on the scorecard rather than assigning a RAG status you cannot yet justify.

This internal-target approach keeps the scorecard honest: every comparison is to your own past performance and your own stated ambitions, which is a far more defensible and motivating frame for leadership discussions than a borrowed number from an unrelated report.

Keep definitions stable, document changes

If you must change how a metric is calculated (say, you start excluding interns from attrition calculations), do two things: document the change with a date, and show both the old and new calculation side by side for at least one transition month so the trend line does not look like a data error.

Designing the One-Page Layout

The entire point of a scorecard is that it fits on one page and can be understood in under two minutes. Here is how to design that page.

Core visual elements

• RAG status (Red-Amber-Green): a simple color or symbol next to each metric showing whether it is on target, at risk, or off target. Define the thresholds for each color in your metric definition sheet so the classification is consistent, not subjective, from month to month.
• Trend arrows: a simple up, down, or flat arrow showing direction versus the prior month. Pair the arrow with a note on whether "up" is good or bad for that specific metric (an upward arrow is good for offer acceptance rate but bad for attrition rate), since arrows alone can be misread.
• Month-over-month (MoM) comparison: the current month's value next to last month's value, so short-term movement is visible immediately.
• Year-over-year (YoY) comparison, where meaningful: especially useful for metrics with seasonal patterns (hiring often slows in certain months, attrition often spikes around bonus payout cycles) so leadership does not mistake a seasonal blip for a structural problem.
• A one-line narrative per metric: a short, plain-English sentence explaining the "so what," not just the number. For example, instead of just "Attrition: 2.1%, up from 1.6%," add "driven mainly by three exits in the support team, two of which cited compensation."

Layout principles

• One row per metric, one page total. Resist the urge to add a second page "just this once" — if something needs a second page, it belongs in the appendix, not the scorecard.
• Group rows by category (headcount, attrition, engagement, payroll, compliance, productivity) with a clear section header, so the eye can scan by theme.
• Put the most business-critical metrics near the top — for most leadership audiences, that means payroll cost and attrition near the top, engagement and productivity in the middle, and compliance status clearly visible but not necessarily first (unless there is an active compliance risk this month, in which case, move it up).
• Use a consistent color and symbol legend at the top or bottom of the page (for example: Green = on target, Amber = within 10% of target, Red = more than 10% off target or breaching a hard threshold) so the same visual language is used every month.
• Reserve a small "headlines" box at the top of the page with two or three bullet points summarizing the month in plain language before anyone even looks at the numbers. This is often the only part some executives read closely, so make it count.

Sample One-Page Scorecard Template

The table below is a hypothetical, illustrative example only — the numbers are invented to show the format, not to represent any real company's performance or an industry norm.

Adapt the exact rows, targets, and thresholds to your own organization's priorities and historical baselines — this is a starting structure, not a fixed prescription.

A short narrative panel below the table

Underneath the table, add a compact section with three to five sentences covering: the single biggest positive development, the single biggest risk, and the one decision or support you need from leadership this month. This narrative is often more valuable to a founder than the table itself, because it does the interpretation work for them.

Cadence and the Monthly Reporting Process

A scorecard is only as reliable as the process behind it. Build a repeatable monthly rhythm so the report is never a last-minute scramble.

Suggested monthly timeline

1. Working days 1-2 of the new month: Close out the prior month's HRMS, payroll, and attendance data. Lock exit and new-hire records so the denominators used in calculations do not shift later.
2. Working days 3-4: Pull raw numbers for all 8-12 metrics from their respective systems (HRMS, payroll software, ATS, survey tool). Cross-check anomalies — a sudden spike or drop is often a data entry error, not a real trend.
3. Working day 5: Calculate RAG status and trend arrows using your documented formulas and thresholds. Draft the one-line narrative for each metric and the top-of-page headlines.
4. Working day 6: Internal review — have a second person (a payroll lead, HR ops manager, or finance partner) sanity-check the numbers before they go to leadership. This catches errors before they become credibility problems.
5. Working day 7-8: Finalize the one-pager, and circulate it ahead of the leadership meeting rather than presenting it cold — this gives non-HR stakeholders time to form questions in advance, which usually makes the actual discussion sharper and shorter.
6. Leadership meeting: Present the scorecard (see the next section for how), capture any decisions or follow-ups, and note them for tracking next month.
7. Post-meeting: Archive the finalized scorecard and update your running trend file so next month's MoM and YoY comparisons are ready to go without re-deriving history.

Monthly checklist

• [ ] Payroll and attendance data for the month closed and reconciled
• [ ] Exit and new-hire records finalized in the HRMS
• [ ] All 8-12 metrics recalculated using the documented formulas
• [ ] Anomalies investigated and explained (not just reported)
• [ ] RAG status and trend arrows applied consistently against agreed thresholds
• [ ] One-line narrative written for each metric
• [ ] Top-of-page headline summary drafted (2-3 bullets)
• [ ] Second reviewer has sanity-checked the numbers
• [ ] Scorecard circulated ahead of the leadership meeting
• [ ] Prior month's action items reviewed and status updated
• [ ] Final version archived with trend history updated

Building in a light-touch QA habit

Small data errors compound into big credibility problems. A simple habit that helps: keep a running "definitions and exceptions" note where you log any one-off adjustments (a delayed exit record, a bulk data correction, a one-time bonus payout skewing payroll cost). Refer back to it whenever a number looks unusual before you present it as a genuine trend.

Presenting the Scorecard to Non-HR Stakeholders

Even a perfectly designed scorecard can fall flat if it is presented like an HR status update rather than a business conversation. The goal in the room is to translate people data into business impact.

Lead with the story, not the spreadsheet

Open with the two or three headline bullets, not the table. Something like: "Hiring velocity improved this month and payroll stayed within budget, but we saw a rise in regretted attrition in the support team that I want to walk you through, along with what we are doing about it." This tells leadership in fifteen seconds what kind of month it was and where their attention should go.

Translate metrics into business consequences

Non-HR stakeholders think in terms of revenue, cost, risk, and delivery. Reframe each metric accordingly:

• Instead of "attrition is up," say "we are at risk of missing the Q3 delivery timeline for Client X because two senior engineers on that account left this month."
• Instead of "engagement score dipped," say "the dip is concentrated in the ops team that is currently understaffed — if this continues, we may see it show up as slower turnaround times next quarter."
• Instead of "payroll is at 101% of budget," say "we are marginally over budget this month due to backfill hiring for two critical roles; we expect this to normalize once those roles are filled and the temporary contractor cost drops off."

This kind of translation is what turns a "people report" into a business input that a founder or CFO will actively use in their own planning.

Anticipate the questions a CFO or founder will ask

• "What does this cost us if we do nothing?"
• "Is this a one-off or a trend?"
• "What do you need from me to fix it?"

Prepare a one-line answer to each of these for your top two or three flagged metrics before you walk into the room. If you do not have an answer yet, it is fine to say so and commit to a follow-up date — that is far better than guessing.

Keep the meeting time-boxed

A scorecard review should typically take ten to fifteen minutes, not an hour. If a particular issue needs deeper discussion, flag it and schedule a separate session with the relevant stakeholders (for example, a dedicated conversation with an engineering lead about attrition on their team) rather than letting it consume the whole leadership meeting.

Close with clear asks, not just updates

End every scorecard presentation with a short "what I need from you" list — budget approval for a backfill, a decision on a compensation adjustment, sponsorship for a retention conversation with a key employee. A scorecard that never asks for anything eventually gets treated as background reading rather than a decision-making tool.

Common Mistakes to Avoid

Tracking vanity metrics

A vanity metric looks impressive but does not drive any decision. "Number of training sessions conducted" or "number of engagement activities organized" might reflect effort, but they say little about outcomes. Prefer metrics that reflect a result (engagement score, retention of high performers) over metrics that just reflect activity (number of events held).

Cramming in too many metrics

The instinct to add "just one more metric because it might be useful" is the single fastest way to turn a scorecard back into a data dump. If a category has three good candidate metrics, pick the one most tied to a current business priority and move the others to the detailed appendix. You can always swap metrics in and out over time as priorities shift — the scorecard does not need to be static forever, just narrow at any given point.

Presenting numbers without context

A number alone rarely means anything. "Attrition is 2%" tells leadership almost nothing without knowing whether that is up or down from last month, whether it is concentrated in one team, and whether it is voluntary or involuntary. Always pair a number with trend, target, and a short explanation.

Inconsistent definitions month to month

If "headcount" sometimes includes contractors and sometimes does not, or if "attrition" is calculated on closing headcount one month and average headcount the next, leadership will eventually notice the trend lines do not add up — and once they stop trusting the numbers, the entire scorecard loses value. Lock your definitions and change them rarely, deliberately, and with a documented note.

Treating the scorecard as a one-way report

The most effective scorecards evolve into two-way conversations, where leadership asks questions, commits to actions, and those actions are tracked and reported back on in the following month. A scorecard that never references "here's what happened with last month's action item" starts to feel like a formality rather than a working tool.

Hiding bad news in footnotes

If a metric is red, say so clearly and explain why, rather than softening the language or burying it at the bottom of the page. Leadership trust in the scorecard depends on it being a reliable early-warning system, not a polished version of reality.

Forgetting the compliance category

It is tempting to focus the scorecard entirely on growth and engagement metrics because they feel more strategic, but a single missed statutory filing or an undetected compliance gap can create real financial and legal exposure. Keep compliance visible on the scorecard every month, even when there is nothing dramatic to report — a steady "all green" compliance row is itself a valuable signal of a well-run people function.

Tools and HRMS Features That Help Automate the Scorecard

Manually pulling numbers from five different spreadsheets every month is exactly the kind of repetitive, error-prone work that a good HRMS should remove from your plate. When evaluating or using an HRMS for this purpose, look for a few specific capabilities.

Centralized, single-source-of-truth data

The biggest source of scorecard errors is stitching together numbers from disconnected systems — one tool for attendance, another spreadsheet for exits, a third for payroll. An HRMS that keeps headcount, hiring, attrition, attendance, and payroll data in one connected system means your scorecard numbers are calculated from the same underlying records every time, which removes a large share of the reconciliation work described in the monthly checklist above.

Pre-built and customizable analytics dashboards

Look for dashboard features that let you select your own 8-12 metrics from a larger library, set your own internal targets and RAG thresholds, and have the system calculate trend and MoM/YoY comparisons automatically rather than by hand in a spreadsheet each month. The best implementations let you save this as a recurring view so it looks identical every month without rebuilding it from scratch.

Automated payroll and compliance tracking

Since payroll cost and compliance status are two of the six core scorecard categories, an HRMS with integrated payroll processing and statutory compliance tracking (PF, ESI, professional tax, TDS, and similar filings) can feed those rows directly and flag overdue items automatically, rather than requiring a manual cross-check against government portals every month.

Exportable, presentation-ready reports

A good system should let you export a clean, one-page summary view (not just raw data tables) that you can circulate before a leadership meeting or drop directly into a board deck, saving the manual formatting work of rebuilding the scorecard layout in a separate tool every month.

Historical trend storage

Because MoM and YoY comparisons are central to a good scorecard, make sure your HRMS retains historical data cleanly and lets you pull a trailing 12-month (or longer) view for any metric without needing to dig through old exported files.

CozyHR is built with exactly this kind of use case in mind for Indian HR teams — bringing headcount, attrition, payroll, and compliance data together in one place so that building a reliable monthly scorecard is a matter of configuring your metrics once, rather than reassembling a report from scratch every month.

Frequently Asked Questions

How many metrics should a monthly people scorecard actually include? Somewhere between eight and twelve is the practical sweet spot for most organizations. Fewer than eight often means an important category (like compliance or payroll cost) is missing; more than twelve tends to slide back into an overwhelming data dump that leadership will stop reading closely. The right number also depends on company stage — a very early startup might comfortably run with eight, while a larger, multi-department organization might need eleven or twelve to represent its complexity.

Should the scorecard be different for the board versus a monthly leadership team meeting? Generally, yes, in emphasis rather than in complete redesign. A monthly leadership scorecard can be slightly more operational (time-to-fill, day-to-day attrition movement), while a board-level version, usually presented quarterly, tends to emphasize headcount versus plan, payroll cost trends, and any material compliance or retention risks tied to strategic goals. It is fine to use the same underlying metric definitions for both and simply adjust the level of detail and frequency.

How do we set realistic targets if we don't have reliable industry benchmarks for our sector? Use your own historical data as the baseline. Calculate your trailing 12-month average for each metric, discuss with leadership what "better" would look like given your current business priorities, and set that as your internal target. This is more defensible and more motivating than borrowing a number from an unrelated industry report, and it naturally adjusts to your own company's context as you refine it over time.

What is the difference between a monthly scorecard and a detailed HR analytics report? The scorecard is a curated summary meant for a leadership audience to review in a few minutes and make decisions from. The detailed analytics report is the full underlying data — every dimension cut, every department breakdown — that HR and people managers use for deeper investigation. Think of the scorecard as the headline and the detailed report as the supporting evidence available on request.

How do we handle a metric that looks bad because of a one-off event, like a mass layoff or a bulk hiring drive? Flag it explicitly in the narrative rather than letting the raw number stand alone. For example, note that "attrition this month includes a planned restructuring in the operations team; excluding that event, underlying voluntary attrition remained flat." This keeps the scorecard accurate while giving leadership the context to interpret the number correctly.

Who should own the monthly scorecard process? Typically an HR operations or HR analytics lead owns the data pull, calculation, and first draft, with the senior-most HR leader reviewing and presenting it to leadership. In smaller organizations, this may all sit with one person, in which case the second-reviewer step in the checklist becomes even more important — even a quick sanity check from a payroll or finance colleague can catch errors before they reach the leadership meeting.

How often should we revisit which metrics are on the scorecard? Review the metric list at least twice a year, and immediately after any major business shift — a funding round, a restructuring, a new leadership hire, or a significant change in business strategy. The scorecard should reflect what matters right now, not what mattered a year ago.

Can a small startup with under 50 employees benefit from a formal scorecard, or is this only useful at scale? A formal scorecard is arguably more valuable at smaller scale, not less, because every hire and every exit has an outsized impact on a small team, and founders need an early-warning system before problems compound. The version for a 30-person startup will naturally be simpler — perhaps eight metrics instead of twelve, and a lighter compliance section — but the discipline of a concise, consistent monthly view pays off from a very early stage.

Conclusion

A monthly people metrics scorecard is not about tracking more data — it is about tracking the right data, consistently, and presenting it in a way that respects a leadership team's time and turns numbers into decisions. Start with a small, well-defined set of 8-12 metrics across hiring, attrition, engagement, payroll, compliance, and productivity. Define each one precisely, set internal targets based on your own history rather than borrowed benchmarks, and design a genuinely one-page layout with clear RAG status, trend arrows, and short narratives. Build a repeatable monthly process so the report is never a last-minute scramble, and when you present it, lead with the business story rather than the spreadsheet.

Done well, this scorecard becomes one of the most trusted documents in your leadership's monthly rhythm — the place they turn to first to understand whether the organization's people engine is running smoothly.

If you are ready to stop rebuilding this report by hand every month, CozyHR brings your headcount, attrition, payroll, and compliance data together in one HRMS, with analytics and reporting features built to help Indian HR teams generate a clean, presentation-ready people metrics scorecard in a fraction of the time. Explore CozyHR's HR analytics and reporting tools to see how much of this monthly process you can put on autopilot.