TI Playbook / Tactical Playbooks / Tier 2 · Brief a Hiring Manager

Brief a hiring manager with market data

The conversation where TI delivers value or doesn't. A field playbook for the 30 minutes when a recruiter or TI analyst walks into a room with market data and walks out with a hiring manager who's actually changed their mind about something. Built for the semi/AI context, where the manager is technical, time-poor, and skeptical of HR framing.

Tier 2 Tactical Playbook Field Guide ~12 min read
The honest problem

Most market-data briefings fail not because the data is wrong, but because the data answers questions the hiring manager isn't asking. They show up wanting to know "why is this so hard" and leave with twelve charts about pool sizes. This guide is about closing that gap.

When this conversation matters

Not every market data conversation needs this much structure. The five scenarios where it does — because the meeting carries real weight on a decision:

  • Opening a hard req where the comp band is below market. The manager wants the role filled. You need them to either approve the comp lift or reframe the role. The meeting is where that happens.
  • A mid-funnel role that's been stuck 60+ days. They're frustrated. You need to land that the math is broken, not the recruiting effort, and propose what changes.
  • Geo expansion or remote-vs-site debate. They want Austin again. You need to show them what the data says about Austin, and what the alternatives actually look like.
  • Quarterly or pipeline-health TI refresh. Standing meeting where you give them market context they'll forget half of unless it's structured around their actual decisions.
  • New initiative ramp-up. They're building a new team and need to know what's realistic on volume, comp, time-to-fill, and geo. This is where the early framing gets locked in.

Pre-meeting prep — what you bring

A hiring manager's tolerance for analyst presentation is roughly 90 seconds. Compress aggressively. The prep checklist that holds up in real semi/AI meetings:

Bring

One page

A single page they can scan in 60 seconds. No appendix. If they want depth, send the backing file after, not during.

Bring

Three numbers

Three numbers they will remember and repeat. Choose them deliberately. Everything else is supporting cast.

Bring

One chart, maybe

If a chart genuinely changes how they think — bring it. If it just decorates, leave it. A bar chart of pool sizes is rarely the chart that matters.

Bring

One recommendation

Named, specific, owned. "Here's what I think we should do differently." Without this, the meeting ends in nodding and nothing changes.

Leave

The deck

If you find yourself building a 15-slide deck, you are preparing for the wrong meeting. Send a doc after.

Leave

The methodology

They don't care how the BLS OES data was filtered. They care what the data says about their hire. Methodology lives in the appendix.

Leave

Hedging language

"It's complicated" and "there are many factors" are how analyst credibility dies. Be specific. Be wrong sometimes if you have to. Wrong-and-specific beats vague-and-safe.

Leave

HR framing

Avoid "EVP," "talent acquisition lifecycle," "candidate experience signal," "engagement KPI." Talk like an engineer who happens to know the market.

The 30-minute meeting structure

A working default flow for a recurring or initiative meeting. Adjust for shorter and longer slots, but keep the proportions. Most TI briefings overrun on Section 2 and skip Section 4, which is exactly backwards.

Default 30-minute flow
Recurring or initiative briefing
0–3 min

What's changed in the market since last time

One paragraph, max. New data point, new signal, new shift. Sets the frame: "the world is different than when we last talked, here's how." Skip if you've never met.

3–8 min

The answer to their question

The thing they asked you to investigate. Three numbers, one line of interpretation each. Lead with the punchline. Do not bury the answer in setup.

8–18 min

The thing they didn't ask but should have

The 2–3 second-order findings that change the picture. This is where TI earns its seat. Pace it — leave room for them to push back. If they don't push back, you didn't say anything sharp enough.

18–25 min

Your recommendation and the trade-off

"Here's what I'd do." Then the cost of doing it and the cost of not. They may disagree — that's fine, but the recommendation has to be on the table for them to react to.

25–30 min

What we commit to differently

Concrete. "I'll re-scope role X by Friday." "We'll open Austin posting for senior IC only." "I'll come back in three weeks with comp comparison vs Apple Silicon." Write it down in the room.

The 8 questions hiring managers actually ask

Eight questions show up in nearly every semi/AI hiring conversation. The data answer matters — but so does the translation. Here's the pattern for each: what they're really asking, and how to answer with market data without sliding into HR-speak.

Q1 · Pool / scarcity
Why is this so hard to hire?
What they're really asking

Is recruiting screwing this up, or is the role genuinely scarce? They want a math answer they can defend to their leadership.

The answer pattern: Give them the funnel math out loud. Total pool in market. Accessible pool after employer concentration. Movable pool in 12 months. Annual senior hires happening in this skill nationwide. Compare to your open req count. The friction is either real (math is brutal) or coachable (math is fine, our process is the problem). Tell them which one this is.
Data to bringStep 02 (Pool sizing) · annual senior-IC hires in skill family · realistic conversion rates
Q2 · Comp
How much are we underpaying?
What they're really asking

Tell me what to take to comp. They want a number — ideally one that won't get challenged by total rewards in five minutes.

The answer pattern: Don't lead with base. Lead with total. P50 / P75 / P90 of total comp at the target level. Note the stack (base / bonus / equity / sign-on). Name the dataset (Levels.fyi for tech, internal comp survey, regulated-disclosure postings). End with "and here's what our offer looks like in that distribution." That's the number they take to their VP.
Data to bringStep 05 (Comp benchmarks) · Levels.fyi · H1B Data · pay-transparency postings
Q3 · Geo
Can we just go remote?
What they're really asking

I want to stop fighting for the same Bay Area candidates everyone else is fighting for. Is the data on my side?

The answer pattern: Probably yes, with shape. Show the pool delta — how much the pool grows once you drop the geo constraint. Show what comp arbitrage actually exists (often less than they hope at senior IC). Flag the operational reality: if the team is on-site dependent, hybrid is the honest answer. Be specific about which roles in their org can and can't.
Data to bringNational pool size · regional comp distribution · remote-acceptance rates by role family
Q4 · Sourcing
Where else should we look?
What they're really asking

Recruiters are giving me the same five companies' candidates. Are we missing people because we have a thin source list?

The answer pattern: Give them three concrete additions, not "we should broaden our sourcing." Name companies, alumni networks, or adjacent skill pools. "Our top three current sources are X, Y, Z — based on the market, we should also be sourcing from A (recent layoff window), B (skills adjacency in compiler), and C (alumni network of recently-acquired team)." Then commit to a follow-up with the search lists.
Data to bringLibrary Guide 03 (Competitor analysis) · alumni network analysis · adjacent skills mapping
Q5 · Loss
Why don't candidates pick us?
What they're really asking

Is it comp? Is it our brand? Is it me? They want to know what to change, not a survey readout.

The answer pattern: Pair the quantitative (offer-decline reasons from your last 30 losses) with the qualitative (verbatim themes from exit interviews / lost-candidate notes). Resist the urge to soften. "Three of the last five top losses cited equity below the market" is the kind of line that changes behavior. "We have some comp gaps" doesn't.
Data to bringInternal loss data · structured lost-candidate exit notes · competitor battlecard comp section
Q6 · Timing
How long should this take?
What they're really asking

I'm getting heat about cycle time. I want to know what's realistic so I can either push recruiting to move faster or push leadership to be patient.

The answer pattern: Honest benchmark — average days-to-fill for this role family at this level in this market. Then the diagnosis: is your current cycle in-line, slow, or fast for the role? If slow, name the stage that's breaking. Don't promise dates. Do commit to next checkpoint.
Data to bringInternal cycle time by stage · industry benchmarks · funnel drop-off data
Q7 · Competitive
Why does [competitor] keep beating us?
What they're really asking

What does X have that I don't? I want to know whether to build that thing, position around it, or accept the loss.

The answer pattern: The battlecard from Library Guide 03 is the asset here. Name the three concrete strengths (with data), the two real weaknesses (with data), the three positioning plays you'd lead with. Avoid the trap of trashing the competitor — engineers see through it. Be specific about the trade-off the candidate is making and why your side wins for the candidate profile you want.
Data to bringLibrary Guide 03 (Competitor battlecard) · current loss-to-competitor share · positioning plays
Q8 · Build-vs-buy
Can we just acqui-hire?
What they're really asking

Is there a faster path than slogging through individual recs? They want a yes/no with a name attached, or a clear no-it's-not-realistic.

The answer pattern: Honest read. Are there 3–5 small companies with the team profile you'd want? What's the realistic acquisition cost vs the cost of 18 individual hires? What's the integration risk? This is often a "no, but" conversation — "no, the targets you'd want aren't realistic, but here's the 6-person team at company X we should pursue as a coordinated outreach play."
Data to bringLibrary Guide 04 (Market mapping — entry-mode section) · acquisition target landscape · realistic cost comparison

Translation cheat sheet

The single most reliable predictor of whether a TI briefing lands is whether it's spoken in the language of the room. In a semi/AI hiring meeting, the room is engineers and engineering managers. Translate aggressively.

Stop saying
Start saying
"Accessible talent pool"
"People we could realistically convince"
"Employer value proposition gap"
"Why candidates pick them over us"
"Sources of supply"
"Where we'd be hunting"
"Attrition rate of X%"
"X out of every 10 leave in a year"
"Time-to-fill predictor"
"How long this is realistically going to take"
"Candidate experience signal"
"What people say about us after they interview"
"Compensation philosophy alignment"
"Whether our offers are competitive"
"Talent acquisition lifecycle friction"
"Where we're losing people in the process"
"Pipeline conversion rates"
"What % of resumes become offers"
"Sourcing channel optimization"
"What's actually working vs what we keep doing"

Post-meeting commit template

A briefing without a written commit is a briefing that gets re-litigated next month. Fill this in during the last 5 minutes of the meeting, share it within 24 hours, and reference it in the next session.

Template · post-meeting commit doc
═════════════════════════════════════════════════════════════ MARKET-DATA BRIEFING — COMMIT DOC ═════════════════════════════════════════════════════════════ Role / initiative: [Name] Hiring manager: [Name] TI / recruiter: [Name] Date of meeting: [YYYY-MM-DD] Next checkpoint: [Date] ───────────────────────────────────────────────────────────── 01 · THE QUESTION WE ANSWERED [One sentence: what they came in wanting to know] 02 · WHAT THE DATA SAID - [Number 1 with interpretation] - [Number 2 with interpretation] - [Number 3 with interpretation] 03 · WHAT CHANGED IN OUR THINKING [The thing they came in believing that the data updated] [Or: "the data confirmed our prior — we're going to keep doing X"] ───────────────────────────────────────────────────────────── 04 · COMMITMENTS — WHO DOES WHAT BY WHEN [ ] [Owner] will [action] by [date] [ ] [Owner] will [action] by [date] [ ] [Owner] will [action] by [date] 05 · OPEN QUESTIONS FOR NEXT TIME - [Question 1] - [Question 2] ───────────────────────────────────────────────────────────── NEXT CHECKPOINT Date: [YYYY-MM-DD] Format: [30-min standing / async update / TBD] What we'll [What we expect to know or have decided by then] revisit: ═════════════════════════════════════════════════════════════

Guardrails

  • Land one thing. If they remember one number, one insight, one action — pick which one before the meeting. Don't outsource that choice to them.
  • Push back when you should. A briefing where you nodded the whole time was not a briefing. TI's job includes telling hiring managers when their assumption is wrong. Do it kindly. Do it.
  • Never punt with "it's complicated." Even if it really is. Pick the most likely answer and label your confidence. "Best guess: X, ~70% confident, here's what would change it" is a usable line. "It's complicated" is not.
  • Don't blame other functions in the room. If comp is the problem, say "comp is the problem" — not "it's a comp issue, that's not really our area." Own the analysis, even when the fix lives elsewhere.
  • Write the commits down in the room. Not after. In the room. Out loud. Hiring managers who watched you type the commit are far more likely to honor it.
  • Send the followup within 24 hours. 48 if there's no way around it. Anything longer and the data falls out of the manager's head and the meeting effectively didn't happen.
  • Reference the prior commit at the start of the next session. "Last time we agreed X — here's where we landed on it." This is how TI gets a real seat at the table over time.
↗ Cross-references · feeds and feeders