OKR Software Comparison
The Best Quantive Alternative for OKR Management in 2026
Quantive (rebranded from Gtmhub in 2022) built its reputation on data integrations. If you want your Salesforce pipeline to auto-update a revenue KR, or your Snowflake query to feed a product KR, Quantive handles that with 200+ native connectors. The question is whether that integration depth is what's actually blocking your OKR program — or whether it's check-in friction and lack of projection.
Updated May 2026 · Okiar vs Quantive
Okiar vs Quantive: feature comparison
| Feature | Okiar | Quantive |
|---|---|---|
| AI check-ins | ✓Voice → AI extracts KR values and blockers automatically | AI-powered OKR writing assistance — check-ins still manual |
| Voice input | ✓Native voice capture in check-in workflow | No voice input |
| Setup time | ✓Under 5 minutes to first OKR | 2–4 weeks for full integration setup (BI connectors, data mappings) |
| Pricing | ✓Free during beta | $7–15/user/month (Growth plan); enterprise pricing on request |
| Quarter-end projection | ✓Velocity-based projection calculated automatically | OKR scoring and progress dashboards — no velocity projection |
| Data integrations (BI/CRM) | Manual or API — no native connectors | 200+ native data integrations — Salesforce, HubSpot, Snowflake, BigQuery, GA4 |
| API depth | Basic API access (in development) | Deep REST API — OKR data as programmable business layer |
| OKR analytics | Team health signals, pacing charts, check-in trends | Advanced OKR analytics, custom dashboards, multi-quarter trend analysis |
Quantive's integration advantage is real — for some teams
If your team tracks revenue KRs that should auto-update from Salesforce, or retention metrics that pull from your data warehouse, Quantive eliminates a recurring manual update task. The 200+ integrations aren't marketing fluff — they're functional connectors that save real time for data-heavy organizations.
The API depth is also genuine. Data teams at Quantive customers sometimes build internal dashboards that consume OKR data via the API, treating goal progress as a programmable business layer. Okiar doesn't offer that yet.
The setup complexity trade-off
Here's the trade-off that's rarely explicit in Quantive marketing: integrations require setup. Connecting Salesforce to Quantive means configuring field mappings, writing filter logic, and deciding which Salesforce data maps to which KR. For a data team with an ops person to manage it, that's reasonable. For a 10-person startup whose Head of Revenue is also closing deals, it's a project that keeps getting deprioritized.
Okiar's position is different. You get less integration automation — KR values are updated via check-ins, manually or by voice. But you're live in 5 minutes and check-in completion is high because the friction is low. Quantive teams with under-configured integrations often have the same data freshness problem as teams with manual updates — just with more infrastructure overhead.
Which team benefits from Okiar vs Quantive?
- Choose Okiar if your KRs are progress-based (milestone completion, qualitative confidence, project-level outcomes) rather than metric-driven (revenue, signups, error rates)
- Choose Quantive if you have 5+ KRs that can legitimately auto-update from a CRM or data warehouse, and you have someone to configure the integrations
- Choose Okiar if check-in completion is your biggest problem — voice check-ins typically take 90 seconds vs 8+ minutes for Quantive's form-based model
- Choose Quantive if your OKR analytics needs are complex — multi-quarter trend analysis, custom dashboards, OKR health by team tier
Switch from Quantive in minutes
Okiar is free during beta. Voice check-ins, AI projections, team health signals — no setup fee, no migration cost.
Try Okiar free →