What to Expect in Your First 90 Days with Evidence-Based Assessment

Your first 90 days with evidence-based assessment should produce three things: calibration (does the assessment match what you already know about your people?), discovery (what did it reveal that you didn't know?), and integration (how does this change your actual hiring and management decisions?). The recommended starting point is the same for every organization: assess 3-5 people you already know well, use their results to calibrate trust in the methodology, then apply the assessment to your most consequential open decisions. Heimdall AI's free trial (5 employees + 25 applicants) is specifically designed for this calibration-first approach.

This isn't a software implementation guide. It's a practical walkthrough of what happens when you start evaluating people through their work evidence rather than their interview performance — and how to extract maximum value from the first 90 days.

Days 1-14: The Calibration Phase

Start with People You Know

This is the most important step — and the one most organizations want to skip. Resist the urge to immediately assess your open candidates. Instead, assess 3-5 current employees or recent hires whose capabilities you already understand well.

Who to pick:

• Your strongest performer (to see if the assessment recognizes what you already know)
• Someone you think is underutilized (to see if the assessment reveals hidden capability)
• The person you're genuinely unsure about (to see if the assessment clarifies the ambiguity)

Why this works: The calibration produces two types of insight:

1. Where the assessment matches your intuition — this builds trust in methodology. If it accurately identifies your star performer's distinctive strengths, you have reason to trust its findings on people you know less about.

2. Where the assessment reveals something you didn't know — this demonstrates value. The most common reaction: "I knew she was good, but I didn't realize her cross-domain synthesis was at this level" or "I had no idea his work showed such strong adversarial reasoning — his performance reviews never mention it."

Read the Output Carefully

For each assessed person, review:

• The behavioral profile — 18 traits with dual scoring. Where are the narrow gaps (high confidence, well-proven) and where are the wide gaps (potential beyond proof)?
• The Discovery Edge — how much of this person's value is your current process missing? For known employees, this tells you whether your management evaluation is seeing everything.
• The fit intelligence — does the assessment's prediction of where they'll thrive match your observation of where they actually thrive?
• The evaluation guidance — what would the assessment tell you to investigate if this were a candidate? The questions often illuminate aspects you hadn't thought to explore with existing employees.

Days 14-30: First Application to Live Decisions

Apply to Your Most Consequential Open Hire

Once calibration has built confidence, apply the assessment to a live hiring decision — ideally your highest-stakes current opening. The process:

1. Candidates submit evidence alongside their application — CV, work samples, portfolio items, and optional questionnaire responses.
2. The assessment produces behavioral profiles with dual scoring for each candidate on the shortlist.
3. Review the profiles before the interview. This changes the interview from "figure out who this person is" to "validate and refine what the evidence suggests."
4. Use the generated evaluation guidance to structure interview questions around each candidate's specific evidence gaps — not generic competency questions, but precision probes targeting the areas where confidence is lowest.
5. Make the hiring decision with both evidence-based profiles and interview data.

Track What Changes

Note the specific ways the assessment information changed your process or decision:

• Did it surface a candidate you would have undervalued based on interview performance alone?
• Did it flag an area of concern that the interview didn't address?
• Did the generated interview questions produce more useful signal than your standard questions?
• Did the dual scoring change how confident you felt about the decision?

These observations become your ROI evidence for expanding the approach.

Days 30-60: Pattern Recognition

Assess Your Open Candidates Systematically

As you assess more candidates, patterns emerge:

• Which roles benefit most from evidence-based assessment? Typically: senior hires, cross-domain roles, roles where you can't evaluate the domain expertise yourself.
• Where does the assessment add the most incremental value over your existing process? Usually: surfacing hidden capability, calibrating confidence, and generating targeted interview questions.
• What candidate evidence produces the richest profiles? Candidates who submit work samples alongside their CV produce dramatically more precise profiles than those who submit only a CV.

Begin Applying to Internal Decisions

Run assessments on employees being considered for promotion, team leads being evaluated for leadership roles, or team members you suspect are underutilized. Internal assessment often produces the highest-surprise findings — because you've been evaluating these people through the narrow lens of their current role, and the evidence-based assessment evaluates their full range.

Refine Your Evidence Request

Based on what you've learned, refine how you ask candidates for evidence:

• What types of work samples produce the richest profiles for your typical roles?
• How should you frame the evidence request to maximize candidate engagement?
• At what point in the process should evidence submission happen (application stage vs. shortlist stage)?

Days 60-90: Integration and Expansion

Establish the Assessment as Part of Your Process

By day 60, you have enough experience to make the assessment a standard part of your hiring workflow — not an add-on, but a component. Define:

• Which roles get assessed (recommendation: all hires above $100K salary; all leadership promotions; all roles where the hiring manager can't evaluate domain expertise)
• When in the process (recommendation: after initial screening, before the interview — so the interview is evidence-informed)
• How it integrates with existing tools (the assessment complements personality instruments, skills tests, and structured interviews — it doesn't replace any of them)

Measure Initial ROI

Compare:

• Time-to-decision — has the assessment reduced the number of interview rounds needed?
• Decision confidence — are hiring managers more confident (with evidence, not just feeling)?
• Early indicators — for hires made with assessment, how is 30-60 day performance tracking against expectations?

Expand Scope

Common expansion paths after 90 days:

• AI readiness assessment across your team (using the AI Potential product)
• Internal talent mapping to identify hidden capability and redeployment opportunities
• Assessment integrated into every management cycle — annual evidence-based review of team capability

Common First-90-Day Mistakes

Skipping calibration. Jumping straight to candidate assessment without first validating on known employees means you're trusting methodology you haven't verified. Always calibrate first.

Assessing only new candidates. Internal assessment on existing employees often produces the highest-value findings — especially Discovery Edge insights about hidden capability you're currently not leveraging.

Not using the evaluation guidance. The generated interview questions are among the highest-value outputs. If you're running the assessment but then conducting the same generic interviews you always have, you're leaving value on the table.

Treating it as a pass/fail filter. The assessment doesn't tell you who to hire. It tells you what the evidence shows about each candidate, where confidence is high and low, and what to investigate further. Use it as intelligence for your decision, not as the decision itself.

Frequently Asked Questions

How quickly will we see results?

The calibration phase (days 1-14) produces insight immediately — you'll see whether the assessment reveals things about your known employees that your current evaluation missed. For hiring decisions, the value is visible in the first hire where the assessment influences the decision. ROI measurement requires 3-6 months of tracked hiring outcomes.

What if the calibration assessment doesn't match what I know about my employees?

This happens occasionally — and it's informative. Either the assessment has identified something your current evaluation process missed (check by investigating the specific finding), or the assessment's evidence base was too thin for a precise profile (check the ceiling-floor gaps). If the assessment contradicts strong evidence you have from direct observation, the discrepancy is a conversation starter, not a deal-breaker. No assessment tool is perfect — the question is whether it adds useful signal.

Do I need to change my existing hiring process?

Not dramatically. The highest-impact change is adding evidence submission (requesting work samples from candidates) and reviewing the assessment output before the interview. Your existing tools — personality instruments, skills tests, structured interviews — all continue. The assessment adds a layer; it doesn't replace layers you already have.

How much time does this add to the hiring process?

For the candidate: 30 minutes to several hours of evidence submission (depending on how much they choose to share). For the hiring manager: 15-30 minutes to review the assessment output before the interview. The time investment is small — and it often saves time downstream by reducing the number of interview rounds needed (because each interview is more targeted and productive).

Heimdall AI is an evidence-based talent intelligence platform that derives behavioral profiles from actual work product — projects, writing, code, and professional evidence — rather than self-report questionnaires. It uses dual scoring (potential ceiling + validated floor) to preserve uncertainty as actionable signal, and quantifies how much of a candidate's value conventional processes would miss. It's designed to complement existing hiring tools by adding a layer of insight nothing else provides.