What problems is 2ask solving and how is that benefiting you?
1. Validated JobTap contractor demand
Struggled with: assumption-based product decisions, scattered DM signal, no clean dataset
Now we can: spin up a branching survey in under 45 minutes using the drag-and-drop builder (UI/UX: clean, no training required) and push it via shareable link
Resulted in: validated a $75–$150 lead pricing band in 6 days vs an estimated 4–5 weeks of manual outreach — roughly 80% time reduction on demand validation
Performance: survey loaded sub-2s on mobile, under 3% platform-driven dropouts
2. Locked PromptBP buyer profile
Struggled with: chaotic founder interviews, inconsistent question framing, unusable qualitative notes
Now we can: standardize intake with templated question logic and export clean CSV directly into Notion + Airtable (Integrations: native CSV/Excel export)
Resulted in: pricing tiers calibrated against ~42 structured responses; cut buyer-discovery cycle from 3 weeks to 5 days
3. Built CASA Flagship Case Study Package evidence base
Struggled with: soft testimonials, no quantified before/after, weak sales collateral
Now we can: auto-fire post-engagement surveys capturing NPS, hours saved, defects caught, ROI bands
Resulted in: launched a $2,500 Case Study tier backed by hard metrics; closed first deal 3x faster than prior anecdotal pitches
Pricing / ROI: at the mid Enterprise tier (~CHF 7,499/yr), one closed deal recouped platform cost in a single transaction — net ROI positive inside Q1
4. Cleaned the top of funnel
Struggled with: free-form contact forms producing ~60% tire-kickers, hours lost on unqualified calls
Now we can: route prospects through a qualifying gate (budget, timeline, system maturity) before booking
Resulted in: ~50% reduction in unqualified discovery calls, recovering an estimated 6–8 hrs/week
AI / Intelligence: logic branching is rules-based rather than AI-driven — adequate for screening, gap vs newer AI-native tools
5. Operationalized Silent Lessons audits
Struggled with: anecdotal reflection notes, no longitudinal trend visibility
Now we can: run a recurring weekly self-survey capturing drift events, gate triggers, and replay status as structured time-series
Resulted in: Report Card became queryable; identified 3 recurring failure patterns within 4 weeks that prior journaling missed
6. Standardized collaborator screening
Struggled with: bias-prone ad-hoc vetting, inconsistent intake, no audit trail
Now we can: score candidates against a fixed rubric with full response archive
Resulted in: fit decisions cut from ~5 days to under 48 hrs, with governance-grade documentation retained per applicant
Support / Onboarding: initial template setup took ~30 min using the team library; free phone + email support answered a config question same-day — meaningfully better than self-serve-only competitors
7. Unlocked EU-compliant client intake
Struggled with: GDPR-sensitive buyers refusing to engage via Typeform/SurveyMonkey-hosted forms
Now we can: collect respondent data on ISO 27001-certified, EU-hosted private servers
Resulted in: opened 2 European ops-team conversations previously blocked on data-residency review — direct pipeline unlock no US-hosted competitor could match
Coverage check (cross-cuts all answers above)
UI / UX: intuitive builder, no install, ~45 min survey creation (#1, #2)
Integrations: CSV/Excel export into Notion + Airtable (#2)
Performance: sub-2s mobile load, <3% platform-driven dropouts (#1)
Pricing / ROI: Enterprise tier (~CHF 7,499/yr) recouped in a single $2,500 deal (#3)
Support / Onboarding: ~30 min setup, free phone/email support, same-day reply (#6)
AI / Intelligence: rule-based logic solid but not AI-native — improvement area (#4) Review collected by and hosted on G2.com.