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7 Alternatives to Manually Tagging Customer Feedback in Spreadsheets
Last updated: · By Matt Teixeira, Founder and CEO
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A good alternative to manually tagging feedback in spreadsheets depends on how much feedback you get and where it lives. Under about 100 items a week from one or two sources, keep the sheet and let an AI formula apply a fixed tag list. Past that, or once feedback sits in several tools, use an AI feedback platform such as Deck or Enterpret: it pulls feedback in as it arrives, groups it into themes, and links every count to the customer's own words. In between sit Airtable and Notion with AI fields, research repositories like Dovetail, and roadmap tools like Productboard.
Key Takeaways
- Fix intake before tagging. An AI formula makes tags consistent, but someone still pastes every row. If copying is why the sheet lags, a formula automates the cheap half.
- A spreadsheet is fine while one person can tag every new item in about an hour a week and the tags still teach you something.
- Sheets, Airtable, and Notion AI only sort into tags you define. None of them notices a new problem. Google Sheets' AI function also caps a run at 350 cells and never refreshes on its own (Google), and Excel's COPILOT function stopped working on September 14, 2026 (Microsoft).
- Deck replaces the tag list with themes. It extracts each insight with its quote, sentiment, and theme, and creates themes as new topics appear. Free covers about 65 items a month; Starter is $99 a month.
Why Does Tagging Feedback in a Spreadsheet Break Down?
Spreadsheet tagging fails in four predictable ways, and each alternative below fixes a different one.
- Inconsistent tags. "Search," "search bug," and "Bad search" become three tags for one problem, and two people tag one row two ways.
- No source link. A row that says "wants bulk export" with no customer, date, or exact words is an opinion nobody can check.
- Stale tags. Tags reflect the list on the day you applied them. You ship, new problems pile up in "Other," and nobody re-tags last quarter.
- Manual intake. Someone copies each ticket and call note into the sheet. When they get busy, the sheet goes incomplete and its counts stop being true.
Tagging is two jobs: deciding what each tag means, and applying it to every row. Software is now good at the second, and helps with the first only when it builds categories from your data.
Alternatives to Spreadsheet Tagging, Compared by Effort
Ordered from the smallest change to your workflow to the largest, not from best to worst.
| Option | Best for | What it automates | Still on you | Setup (rule of thumb) | Starting price (USD) |
|---|---|---|---|---|---|
| Google Sheets with the AI function | Under about 100 items a week | Applies your tag list and sentiment to each row | Pasting rows, refreshing, spotting new problems | About an hour | Eligible Workspace or Google AI plan |
| Airtable with field agents | A structured feedback database | Categorizes each record into your field options | Designing the base and its intake | Half a day | Team $20/user/mo (annual) |
| Notion with AI Autofill | Notes already in Notion | Tags each page on create, on edit, or on demand | Cross-row patterns, counting accounts | 1 to 2 hours | Business $20/member/mo |
| Dovetail | Interview-led research | Suggested highlights, AI tags, Ideas in Channels (beta) | Owning tag boards, reviewing suggestions | A few days | Free; Enterprise custom |
| Deck | Lean teams with feedback in several tools | Insights with quotes, sentiment, category, themes, subthemes, and ranking | Reviewing theme names and merges | About an hour to connect, then processing | Free; Starter $99/mo ($79 annual) |
| Enterpret | Enterprise feedback volume | Adaptive taxonomy, revenue-weighted themes | Contract and implementation | Sales-led | Custom; $120,000/yr AWS listing |
| Productboard | Linking feedback to planned features | Links feedback to features that already exist | Building the hierarchy, verifying links | A few days | $59/maker/mo (annual), 5-maker minimum |
Prices checked November 2, 2026. Setup times are our rules of thumb for a small team, not vendor figures. Deck is our product, so we list its limitations as plainly as the others'.
When Is a Spreadsheet Still the Right Tool?
Keep tagging by hand while the tagging teaches you something. In early discovery, labeling each item is how you learn the problem space. Once your tags stop surprising you, the work is clerical, and it is time to automate it.
A spreadsheet is enough when one person can tag every new item in about an hour a week (roughly 60 to 100 short items at 30 to 60 seconds each), feedback comes from one or two places, or the job is a one-off like a churn survey. To get the most from it:
- Keep the tag list on its own tab, with a one-line definition per tag.
- Add a column for the source link and one for the account.
- Count accounts per tag, not rows. Ten messages from one noisy customer are one data point.
Move on when tagging takes more than about two hours a week, the sheet runs two weeks behind, or two people tag the same row differently. For naming rules, see how to build a customer feedback taxonomy.
1. Google Sheets with the AI Function: Best for Teams Under 100 Items a Week
The smallest change: keep your sheet and let Gemini apply your tag list. Put the tags and definitions in one cell on a Tags tab, so every row reads the same list:
=AI("Tag this customer feedback with exactly one tag from this list. Answer with the tag name only. If no tag fits, answer Other. Tags: " & Tags!$A$1, B2)
- Pricing
- Needs an eligible Google Workspace or Google AI plan (Google), such as Business or Enterprise Standard and Plus, or Google AI Pro or Ultra (Google Workspace Updates).
- Strengths
- No migration, and the same definitions on every row.
- Limitations
- It generates only the first 350 selected cells per run, and output does not refresh when data changes (Google). It never flags a problem outside your list, and you still paste every row.
- In Excel
- The COPILOT function stopped working on September 14, 2026; a cell that recalculates now returns #NAME? (Microsoft).
- Best for
- Early teams already in Sheets. Paste values after you review each batch, so reviewed tags never change under you.
2. Airtable with Field Agents: Best for a Structured Feedback Database
Airtable gives the sheet structure. Build a Feedback table with a single-select Tag field that a field agent fills, linked to an Accounts table so you can count accounts per tag. Forms and automations can create records, which removes some copying.
- Pricing
- Team is $20 per user per month billed annually; Business is $45 (Airtable pricing). Team includes 15,000 AI credits per billable collaborator a month, pooled, and feedback categorization uses about 1 credit per run (Airtable AI billing).
- Strengths
- Linked records, a view per tag, and AI cost that is rarely the constraint.
- Limitations
- You design and maintain the base and every intake path, and like the formula it never finds a category you didn't define.
- Best for
- Ops-minded teams that want structure without buying a feedback tool.
3. Notion with AI Autofill: Best for Teams Whose Notes Live in Notion
If interview notes already live in a Notion database, tag them there. An AI autofill property fills a select or multi-select on each page, and runs manually, on page creation, or on page edits (Notion Help).
- Pricing
- Basic Autofill is included in Business and Enterprise; Free and Plus get a limited trial. Business is listed at $20 per member per month billed yearly (Notion pricing).
- Strengths
- Notes and tags stay on the page where they were written.
- Limitations
- Basic Autofill reads only the page it fills, so it never compares rows to spot a pattern, and counting accounts needs relations and rollups. Set it to run on page creation rather than on every edit, so a tag you corrected isn't regenerated.
- Best for
- Teams that run discovery interviews in Notion.
4. Dovetail: Best for Interview-Led Research Teams
Dovetail is built for research, not support volume. Suggested highlights mark key moments in transcripts, and AI links them to your project tags, getting more accurate as each tag is used (Dovetail docs). Channels 2.0, in beta, groups feedback into Ideas ranked by severity, frequency, reach, and ARR (Dovetail docs).
- Pricing
- Free includes one project and one channel; Enterprise is custom. Global tags, which standardize tags across projects, are Enterprise only (Dovetail pricing).
- Strengths
- The strongest option here for interview analysis and a research library others can browse.
- Limitations
- Tags remain the core workflow, and G2 reviewers mention manual tagging (G2). AI highlights skip Word and PDF files. Without global tags, projects drift into separate vocabularies: the spreadsheet problem again.
- Best for
- Research teams whose main input is interviews and usability sessions.
5. Deck: Best for Product Teams That Want to Stop Maintaining a Tag List
Deck reads feedback as it arrives and does the tagging itself. Each item becomes one or more insights with the customer's quote, a sentiment, one of six categories (Pain Points, Feature Requests, Usability Issues, Bugs & Errors, Delights, General Feedback), and a theme. When recurring feedback fits no existing theme, Deck creates one (Deck themes docs).
- Moving from a sheet
- The CSV import's Feedback type needs only a content column, plus optional source, email, name, and date. Files can be up to 10 MB, exact duplicates are dropped, and Deck suggests testing 20 to 50 rows first (Deck CSV import docs).
- Steering the themes
- Deck's agents read each theme's name and description when sorting new feedback, so a clear description does the job your tag definitions did (design a theme taxonomy). Renames and merges keep insights attached, and themes are archived, never deleted. On Starter and up, subthemes rebuild weekly for themes with 5 or more insights.
- Pricing
- Free has 200 credits, about 65 items at Deck's planning estimate of 3 credits per CSV row, ticket, or Slack message. Starter is $99 a month ($79 billed annually) for 2,500 credits, about 830 items. Business is $249 a month ($199 annually) for 7,500 credits and CRM integration (Deck pricing).
- Strengths
- No tag list to maintain, a quote behind every count, segment filters, a ranked Opportunity Backlog, and Deck MCP on every plan (Deck Themes).
- Limitations
- Your old tag column doesn't carry over, because Deck builds themes from the text. You also stop choosing every label up front, so review the theme list every month or two. Subthemes are not on Free, and moving an insight into a subtheme by hand runs through Deck MCP, not a button (sort uncategorized insights). Imports use credits, and Intercom and Zendesk need Starter.
- Best for
- SaaS and AI startups with feedback in three or more tools and nobody whose job is tagging.
6. Enterpret: Best for Enterprise Volume with an Adaptive Taxonomy
Enterpret also skips the hand-built tag list, at enterprise scale and price. It generates a taxonomy from your customers' language for you to review and says it "updates itself as new themes appear" (Enterpret).
- Pricing
- Custom. AWS Marketplace lists $120,000 for 12 months and up to 300,000 records, plus $0.48 per extra record (AWS Marketplace).
- Strengths
- Themes weighted by accounts and revenue, agent automations, MCP access, and SOC 2 Type II plus ISO certifications (Enterpret).
- Limitations
- Enterprise pricing and a sales-led setup. G2 reviewers mention a learning curve and ongoing taxonomy upkeep (G2).
- Best for
- Orgs processing hundreds of thousands of feedback records a year.
7. Productboard: Best for Linking Feedback to a Planned Feature List
Productboard tags feedback against your roadmap, not against the problems customers describe. Productboard AI links feedback to features in your product hierarchy every three hours, and links stay unverified until a maker checks them (Productboard Help).
- Pricing
- Business is $59 per maker per month billed annually, or $75 monthly (Productboard Spark FAQ), with a 5-maker minimum (Productboard pricing). The auto-linking help article lists the feature for Enterprise with an AI add-on, which Productboard says is no longer for sale as its capabilities move into Spark, so ask whether a new plan includes it.
- Strengths
- Feedback sits next to the roadmap items it supports, with portals and prioritization in one tool.
- Limitations
- Auto-linking never creates a feature, so unmatched feedback stays unlinked, and feedback under 100 characters is skipped.
- Best for
- Multi-PM orgs that already maintain a feature hierarchy.
How Do You Move Off the Spreadsheet Without Losing History?
- Export the raw text, not the tags. Keep the original words, date, source, customer email, and a link back. The tags are what you are replacing.
- Bring 90 days, not three years. Old feedback describes a product you no longer ship, and on usage-priced tools it costs money.
- Skip what a connector backfills. If a source imports its own history on connect, upload only rows from other sources, or you count tickets twice.
- Run both for two weeks. Tag 30 new items by hand and compare them with the tool. If you disagree on more than about one in five, fix the definitions before you trust a count.
- Retire the sheet on a set date. Rename new themes to your team's old tag words where they fit, make the sheet read-only, and link to the new home.
Worked Example: A Team Tagging 60 Items a Week
Illustrative numbers, not customer data. A 15-person SaaS startup has one PM and about 60 new items a week: 45 Intercom conversations and 15 interview notes. Copying and tagging take three hours a week, and the sheet runs a month behind.
- Sheets AI function: reviewing tags drops to perhaps 30 minutes a week, but copying still takes about two hours, and copying is why the sheet fell behind.
- Deck Starter: connecting Intercom pulls in the last 90 days automatically (Deck Intercom docs), about 585 conversations or 1,750 credits. Uploading 200 interview-note rows from the sheet adds about 600. After that, new items use about 780 credits a month.
- The catch: month one needs about 3,100 credits against Starter's 2,500. Turn on overage (about $32 at $0.05 a credit) or split the upload across two months.
The platform wins here because intake, not tagging, was the bottleneck. A team pasting 15 items a week would do better with the formula.
How to Choose
- Under about 100 items a week from one or two sources: keep the sheet, and add the AI function once your tags stop changing.
- Notes already in Airtable or Notion: use AI fields there first.
- Interviews are the main input and a researcher owns synthesis: choose Dovetail.
- Feedback in three or more tools and no time to tag: choose an AI feedback platform, Deck for lean teams or Enterpret at enterprise volume.
- You want evidence for features you already planned: choose Productboard, and keep discovery in a tool that finds new themes.
- Whatever you pick: run last month's feedback through it and check 30 items by hand. The guide to analyzing support tickets with AI shows how to spot-check quotes.
To test the no-tag-list approach, upload 50 rows from your sheet to Deck's Free plan and compare its themes with your tags.
Frequently Asked Questions
Sources
- Deck pricing
- Deck themes docs
- Deck CSV import docs
- Deck Intercom integration docs
- Deck Themes
- Deck playbook: design a theme taxonomy
- Deck playbook: sort uncategorized insights
- Google: Use the AI function in Google Sheets
- Google Workspace Updates: Enhanced AI function in Sheets
- Microsoft: COPILOT function
- Airtable pricing
- Airtable AI billing
- Notion pricing
- Notion Help: Notion AI for databases
- Dovetail docs: Highlights
- Dovetail docs: Channels
- Dovetail pricing
- G2: Dovetail reviews
- Enterpret homepage
- Enterpret on AWS Marketplace
- G2: Enterpret reviews
- Productboard Help: Link insights automatically with Productboard AI
- Productboard Spark pricing and billing FAQ
- Productboard pricing
Sources checked November 2, 2026.