From first upload to forwarded proof.
Everything in Quandry works as one loop — each step feeds the next. Ten steps, no jargon without a plain-English translation, and by the end you're publishing a report your CFO actually wants to read.
Ten steps.
One story.
Start small — one spreadsheet, one survey. The platform grows with you.
Create a project
A project is your workspace — data, surveys, goals, and reports in one place. Invite teammates and control what each person can do with six roles, from Admin to Guest.
Add your data
Upload the spreadsheets you already have: headcount, pay, exit data, engagement results. Quandry reads the columns and recognizes the metrics inside automatically. Incomplete data is exactly where everyone starts — the next step tells you what's missing.
Meet your DMI
The Data Maturity Index scores your data from 0 to 100 across six categories, checking for the Core 10 — the ten metrics every people team should track. The score matters less than the gaps it finds: each one comes with exactly what to collect next.
Track KPIs
A KPI is a metric with a target attached. “Turnover” is a metric; “get turnover under 12%” is a KPI. Pick a metric, set the target, choose a direction — Quandry tracks it with gauges that show at a glance whether you're on pace.
Set goals
Goals are the outcomes behind the numbers, like “improve first-year retention.” Attach KPIs to a goal and Quandry rolls them up — the goal counts as achieved when every attached KPI hits its target.
Ask your people
Numbers say what. Surveys say why. Build surveys around dimensions — themes like “Trust in Leadership” — with 1-to-5 questions and AI follow-ups that dig deeper when an answer deserves a “tell me more.” Send waves by link, QR code, or contact list. Anonymous, so people can be honest.
Read the findings
The moment a wave completes, insights generate automatically: a one-sentence headline, scores per dimension with arrows showing what moved since last wave, and real anonymized quotes. Early reads are clearly labeled Preliminary; completed waves get Final findings. Every finding is grounded in your real responses — nothing is invented.
You decide
Alongside the findings, the AI drafts recommendations — concrete actions a manager could start this month. For each one you choose: Accept, edit-then-accept, or Dismiss. Nothing moves forward without a human saying yes. That's true everywhere in Quandry.
Turn decisions into a plan
The moment you accept recommendations, “Draft action plan” appears right there. One click and the AI drafts the whole plan — name, target date about a quarter out, and sequenced actions, each linked to the recommendation it came from. Edit everything in the review screen; nothing saves until you click Create. Then link the plan to an initiative to unlock its actions, and track them on a kanban board.
Prove it
Click “Draft report” and in about fifteen seconds the AI composes a complete draft from your real data: a plain-language executive summary, your survey findings, KPIs, trends, goals, and accepted recommendations. Missing data? That section is skipped — a shorter honest report beats a longer padded one. The draft opens in the report builder, fully editable, and nothing is published until you publish it. Share links can carry a password and an expiry, reports can be scheduled to email a contact list, and viewers don't need an account.
The AI
ground rules.
Powerful, but on a leash you hold. Four rules the AI never breaks.
It only uses your real data
Every score, trend, and quote traces to your project. If the data doesn't exist, the AI skips it — it never pads or invents.
It only runs when you ask
Drafting is always a button you click. The one exception: insights generate when a survey wave completes, so they're ready when you are.
It never has the last word
Every AI draft — insight, recommendation, plan, report — ends at human review. You accept, you edit, you publish. Or you don't.
If it fails, nothing breaks
A failed draft creates nothing and gives you a plain retry button. Never a broken builder, never a half-saved plan.
Everything in
the workspace.
Projects & Roles
One workspace per team, six permission levels from Admin to Guest.
Datasources
CSV & Excel uploads with metrics detected automatically.
Data Maturity Index
Your 0–100 data health score, with the gaps to fill next.
Metrics & KPIs
Track any number over time; add a target to make it a KPI.
Goals
Group KPIs into outcomes — achieved when every KPI hits target.
Surveys & Waves
Build, send by link, QR, or contact list, and repeat over time.
AI Insights
Automatic findings after each wave: headline, scores, trends, quotes.
Recommendations
AI-drafted, human-approved next steps tied to real findings.
Action Plans
AI-drafted from accepted recommendations; kanban tracking.
Initiatives & ROI
Approval flow, business cases, projected vs. actual ROI.
Reports & Sharing
AI-drafted or hand-built; secure share links; scheduled delivery.
Contacts & Scheduling
Saved audiences for survey invitations and report delivery.
“Our data score told us we were blind on engagement. We ran a survey — belonging scored lowest, and the comments told us why. We accepted three recommendations, turned them into a funded initiative, and two waves later belonging is up 0.4. Here's the report.”
Every link in the chain is a real number someone can check. When budget season comes, you're not asking anyone to trust your gut — you're forwarding a link.
Words
you'll see.
Your first-week
checklist.
Seven boxes between you and your first published report.
- Create a project and invite your team
- Upload one spreadsheet and look at your DMI
- Create two or three KPIs from the metrics it found
- Build one short survey and send your first wave
- When insights arrive: accept the recommendations you believe in
- Click “Draft action plan,” review it, create it, link it to an initiative
- Click “Draft report,” make it yours, and publish your first share link
Your data has a story. Let's prove it.
Start Building Proof