The best discovery call checklist pairs clean account research with AI call history, buyer signals, and a short rep brief. Gong is stronger for revenue teams that need deep deal intelligence and coaching. Avoma is often easier for teams that want meeting prep, notes, summaries, and CRM updates without heavy setup.
TLDR: Reps should enter every discovery call with a one-page brief covering the account, buyer role, pain signals, past conversations, likely objections, and a crisp opening plan. For example, a 12-rep SaaS team using AI prep notes could cut manual research from 18 minutes to 7 minutes per call, saving roughly 22 hours per month. Gong fits larger sales organizations with complex pipelines. Avoma fits teams that want faster prep and simpler meeting workflows.
What a strong discovery call checklist should include
A discovery call should not start with the rep asking questions that are already answered on LinkedIn, the company site, or the CRM. That wastes trust. It also makes the buyer feel like a data source instead of a person.
A practical checklist should give the rep these items before the call:
- Company snapshot: size, industry, location, funding, recent news, hiring patterns, and growth signals.
- Contact profile: role, seniority, likely priorities, past jobs, and possible decision power.
- CRM history: open opportunities, past emails, previous calls, support issues, and renewal data.
- Call history: prior objections, stakeholder names, product interests, and unresolved questions.
- Hypothesis: likely pain, business trigger, and why the meeting was booked now.
- Opening talk track: a short reason for the call tied to the buyer’s world.
- Question plan: no more than 8 to 10 discovery questions, grouped by topic.
- Exit criteria: next step, required stakeholders, timeline, and success metric.
Gong for discovery call preparation
Gong is built for revenue intelligence. It records calls, transcribes them, analyzes deal risks, and shows patterns across rep activity. For discovery prep, its biggest value comes from historical context. A rep can review what was said in past calls, see competitor mentions, scan pain points, and spot warnings before speaking with the buyer again.
Gong is especially useful when several people touch the same account. An account executive can review a sales development call. A manager can check whether a required qualification question was skipped. A customer success person can see what was promised during the sale. That shared memory reduces guesswork.
Its coaching layer is also strong. Managers can track talk ratios, question quality, objection handling, and deal progress. This helps teams tighten discovery habits over time. If reps keep missing budget questions or fail to confirm decision criteria, Gong makes that visible.
The catch is that Gong can feel heavy for smaller teams. Setup, permissions, CRM mapping, and dashboards take work. Honestly, it feels like some reps spend an extra minute or two finding the exact snippet they need when the account has a long call history. That is not fatal, but it can be annoying before a packed call block.
Avoma for discovery call preparation
Avoma focuses on meetings, notes, summaries, and collaboration. It records calls, creates AI notes, captures action items, and can push summaries into the CRM. For call prep, Avoma works well because it turns prior meetings into readable briefs without making the rep dig through long transcripts.
Avoma is also useful before first discovery calls. Reps can use templates for discovery agendas, qualification notes, and follow-up plans. Managers can standardize how discovery is documented, which keeps CRM records cleaner.
For smaller and mid-sized teams, Avoma often feels more direct. The rep opens the meeting record, reviews the summary, scans action items, and checks open questions. There is less friction. Teams that do not need deep forecasting analytics may prefer that simplicity.
Its limits show up when the sales organization needs more advanced deal scoring, executive reporting, or complex multi-team inspection. Avoma covers coaching and conversation intelligence, but Gong tends to go deeper for enterprise revenue operations.
Gong vs Avoma: which one prepares reps better?
| Category | Gong | Avoma |
|---|---|---|
| Best fit | Larger sales teams with complex pipelines | Small to mid-sized teams that need clean meeting workflows |
| Prep strength | Deep account and deal history | Fast summaries and simple meeting briefs |
| Coaching | Advanced coaching analytics | Useful coaching tools with lighter admin |
| CRM updates | Strong, but needs careful setup | Simple and meeting-centered |
| Main drawback | Can be complex and costly | Less suited to complex revenue inspection |
For pure pre-call prep, Avoma may win for speed. For strategic account review, Gong may win for depth. The right answer depends on call volume, deal size, sales process maturity, and how much management reporting matters.
Other AI tools that help before customer calls
Gong and Avoma are not the only options. Several tools can support parts of the discovery prep process.
- Fireflies.ai: useful for call recording, transcription, and searchable meeting notes. It is a practical choice when the team mainly needs memory and summaries.
- Fathom: strong for quick meeting summaries and clips. It works well for reps who want low-effort note capture.
- Clari Copilot: better for teams already using Clari for pipeline management and forecasting.
- Otter.ai: simple transcription and summary support, though it is less sales-specific than Gong or Avoma.
- HubSpot AI: helpful when the CRM already lives in HubSpot. It can assist with notes, email drafting, and contact context.
- Salesforce Einstein: useful for Salesforce-heavy teams that want AI insights inside their existing sales records.
- ChatGPT or Claude: strong for account research summaries, question drafting, and role-play, as long as the rep checks facts carefully.
A practical pre-call workflow
A good AI-assisted workflow should take less than 10 minutes. If it takes longer, reps will skip it when calendars get ugly.
- Scan the CRM: confirm lifecycle stage, opportunity value, source, owner, and last touch.
- Review prior call notes: use Gong, Avoma, or another recorder to find pain points and promised follow-ups.
- Check the account: look for funding, hiring, product launches, compliance pressure, or market changes.
- Define the call goal: qualify, uncover pain, map stakeholders, confirm urgency, or book a demo.
- Prepare 5 core questions: focus on business impact, current process, cost of inaction, decision path, and timeline.
- Write the opener: connect the meeting to a likely buyer priority in under 30 seconds.
- Plan the next step: know what should happen if the call goes well.
It drives sales leaders crazy when reps prepare by reading a company homepage for 90 seconds and calling it research. AI tools fix part of that problem. They do not replace judgment. They simply package the clues faster.
What managers should track
Managers should not only ask whether reps used the tool. They should track whether prep improved call quality. Useful metrics include:
- Discovery-to-demo conversion rate
- Percentage of calls with confirmed pain
- Percentage of calls with a clear next step
- CRM completion rate after calls
- Average prep time per meeting
- Number of repeated questions buyers had already answered
If prep time drops by 40% but conversion also drops, the process is too shallow. If prep time drops and next-step rates rise, the tool is doing its job.
Recommended choice
Gong is the better pick for larger revenue teams, complex deals, and managers who need deep coaching data. It gives richer deal context and stronger inspection tools.
Avoma is the better pick for teams that want faster meeting prep, cleaner notes, and easier adoption. It is often the more comfortable choice for growing teams that need structure without a large operations project.
For many teams, the best discovery call checklist is not tied to one tool. It is a repeatable habit: know the buyer, know the account, know the last conversation, form a sharp hypothesis, and enter the call with a clear next step in mind.
FAQ
What should a rep review before a discovery call?
A rep should review the account profile, contact role, CRM history, prior calls, likely pain points, recent company news, and the planned next step.
Is Gong better than Avoma for discovery calls?
Gong is better for deep deal intelligence and coaching. Avoma is better for fast meeting prep, summaries, and simple workflows.
Can AI tools replace manual call prep?
No. AI can speed up research and summarize history, but reps still need to check facts and choose smart questions.
How long should discovery call prep take?
For most calls, 7 to 10 minutes is enough when the CRM and meeting notes are clean. Strategic enterprise calls may need more time.
Which AI tool is best for small sales teams?
Avoma, Fathom, and Fireflies.ai are often easier for small teams. They offer useful summaries without heavy setup.