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Every successful strategy begins with clarity of story.
For leaders, that means asking: What are we trying to prove – or disprove – about the way we manage talent, culture, and performance?
Consider a common scenario: your organization is reviewing its turnover data. At first glance, it appears to be just another attrition report. But when you take the time to combine this with training completion data and manager feedback, the story sharpens.
Instead of treating attrition as a static metric, the combined data show that employees who completed onboarding and whose managers held regular check-ins leave at significantly lower rates. That connection points to a specific intervention: redesign onboarding to include measurable manager-accountability checkpoints. Data moves the organization off autopilot (‘we’ve always done it this way’) and toward a tested change with measurable impact.
Data only matters if it’s used. Employees and leaders grow weary of surveys, evaluations, and focus groups that often vanish into a black hole
This is where many organizations stumble. They confuse activity with progress, tracking every metric possible instead of narrowing in on the few that matter most. As a leader for your organization, your role is to sharpen the focus. Are you advancing your biggest people priorities? Are your employees thriving in ways that fuel long-term business performance?
Turn hypotheses into data discipline
Data discipline comes from treating priorities as working hypotheses: we believe X intervention will lead to Y outcome. Once you articulate this, you can interrogate the evidence.
What data already exists? (e.g., attrition rates, course completions, engagement scores, performance ratings)
What data do you need but don’t yet have? (e.g., manager check-in quality, informal learning moments, role-specific busy times)
What’s the simplest, most efficient way to capture it? (e.g., simple post-program surveys, focus groups, interviews)
As leadership and talent development consultant Al Dea notes, many organizations stick with “that’s the way we’ve always done it” instead of testing whether a practice still delivers value.
The remedy is disciplined simplicity. Stop tracking dozens of unfocused metrics and translate each measure into a plain-language question an executive can act on. For example, replace ‘onboarding completion’ with ‘What percent of new hires complete the core onboarding milestones by day 30?’ Replace ‘manager engagement’ with ‘How many new hires have documented 30/60/90 check-ins with their manager?’ And replace vague engagement scores with ‘What percent of hires reach expected productivity by 90 days?’
If a metric can’t answer a decision-driving question like these, remove it. Sharpen your analytics so leaders can make faster, clearer choices.
Stop wasting people’s time
Data only matters if it’s used. Employees and leaders grow weary of surveys, evaluations, and focus groups that often vanish into a black hole. Nothing erodes trust faster than gathering feedback and doing nothing with it. Before collecting a single data point, leaders should challenge themselves and their teams with four questions:
Is this question designed to yield actionable insight?
Will I actually act on the answers?
Do I have the time – and resources – to review and disaggregate results?
Who is the intended audience, and how will I frame the story crafted from the data so it resonates?
Communication is everything. A dashboard of charts without narrative leaves executives unmoved. Anticipate the questions your business partners will ask: What’s the ‘so what’? What’s the recommendation? What’s the risk if nothing changes? As a colleague once said, “Collecting data without a plan is like recording a movie you’ll never watch.”
Accountability builds credibility
Closing a survey is the beginning of the story. This is where credibility is earned or lost. Translate findings into plain language, tie them back to business strategy, and act. Be willing to recommend what to start, stop, or scale. Don’t be afraid to say, ‘We tried this. It wasn’t as successful as hoped, and we won’t do it again.’ That kind of candor builds trust, enhances productivity, and leads to tangible business-impacting outcomes.
Closing a survey is the beginning of the story. This is where credibility is earned or lost. Translate findings into plain language, tie them back to business strategy, and act
Just as important, share responsibly. An attrition analysis in learning & development might also shape recruiting, workforce planning, or cultural priorities. Data silos help no one.
Simplicity wins
You don’t need to over-engineer your data strategy. Models and frameworks are useful, but they’re only tools. The real value lies in connecting the right numbers to the right story, then acting with clarity and courage.
Peter Drucker put it best in Management: Tasks, Responsibilities, Practices (1973): “Information is data endowed with relevance and purpose.” The task for talent leaders is to make sure their organizations live up to that standard, conducting purposeful data collection that creates insights that lead to informed decisions. We owe this to our business and to our learners.
That’s what modern data leadership looks like.
