Most organizational problems are misdiagnosed.
AskWise interviews your team at scale and shows you what's actually slowing you down.
Hiring too early
= an expensive detour
Automating the wrong process
= wasted initiative
Adding tools before diagnosis
= more overload
The diagnostic layer before action.
AskWise turns scattered team signals into a clear friction diagnosis, so you fix the real bottleneck first.
Why this works
Shorten decision cycles
End debates faster by grounding discussions in shared evidence.
Defensible narratives
Every theme is backed by counts and real quotes so conclusions are defensible, not political.
Focused recommendations
Recommendations are bounded so you see what matters now, and what can wait.
Clear accountability
Clear evidence trails make alignment across leadership faster and less emotional.
Use cases
Start with a focused diagnostic
Three focused diagnostics are active today, each designed to separate the visible symptom from the real operating constraint.
Why is our support team overloaded?
(support overload)
Diagnose the real bottlenecks before deciding whether headcount is the answer.
Open use caseWhy are we moving so slowly?
(delivery drag)
Spot where planning, handoffs, and decision latency are creating delivery drag.
Open use caseBefore we hire - do we actually need more people?
(headcount need)
Separate true capacity constraints from process and prioritization problems.
Open use caseHow it works
From goal to report in four steps.
Set the goal
Capture what leaders need to know and who should answer.
Launch the interview
Adaptive prompts branch by role and keep the flow short.
Aggregate evidence
Counts, quotes, and contradictions are stitched automatically.
Act with clarity
Recommendations are bounded with effort and impact hints.
Comparison
Traditional Discovery vs AskWise
Illustrative comparison for a 50–100 person scale-up running one diagnostic sprint.
| Dimension | Traditional (consultant-led / manual internal) | AskWise (nudge + adaptive interviews + automated insights) |
|---|---|---|
| Time-to-insight | ~4-6 weeks (scheduling + batching + synthesis) | ~5–9 business days (designed pilot window) |
| Internal touch time | ~60-120 hours (coordination, chasing, synthesis) | ~4-7 hours (setup + light review) |
| Scheduling overhead | High (calendar slots, reschedules, no-shows) | Low (async micro-inputs via chat, email fallback) |
| Participation / completion | Hard to track (completion depends on chasing) | Target completion with automated nudges: ~70–90% (varies by team + channel) |
| Evidence traceability | Often manual (scattered, hard to audit) | Designed for evidence-linked findings: ~60–80% include direct source excerpts (varies by data quality) |
| Consistency across runs | One-off (depends on who runs it) | Repeatable (reusable templates) |
| Metric | Illustrative cost impact at ~100 employees |
|---|---|
| Consultant-days avoided (illustrative) | 12-18 days |
| Estimated cost avoided per cycle (illustrative) | €24k-€36k |
All figures on this page are illustrative examples for one diagnostic (e.g., 12–25 respondents). Your AskWise report uses your actual response counts, quotes, and evidence links; outcomes vary by scope, participation, and evidence requirements.
Trust and safety
Built to protect respondent trust.
PII redaction
Quotes are scrubbed by default to avoid exposing identities.
Evidence over invention
Every claim is tied to source responses or marked as insufficient.
Anonymity thresholds
K-anonymity checks prevent narrow exposure.
Prompt safety
Respondent input is isolated from system instructions.
Ready to run your first interview?
Bring clarity to your next decision.
AskWise keeps interviews short while delivering evidence you can cite in leadership rooms. On the call, we'll walk you through a redacted sample report so you can judge the output quality before you run a pilot.
Prefer to scan first? Request a redacted sample report.